--- source_url: "https://www.newscatcherapi.com/blog-posts/web-search-api-benchmark-q1-2026" title: "Web Search API Benchmark Q1 2026: CatchAll vs Exa, OpenAI, Parallel AI, Manus | NewsCatcher" mirrored_at: 2026-08-06T03:03:28.147Z host: www.newscatcherapi.com cited_in_42a: true mirror_canonical: "https://index.42a.ai/www.newscatcherapi.com/blog-posts/web-search-api-benchmark-q1-2026" --- > **Original source:** https://www.newscatcherapi.com/blog-posts/web-search-api-benchmark-q1-2026 Product April 8, 2026 Oleksandr Sirenko ,   ![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/696a34821e13775b81b53c56_Background%20Image.png) CatchAll F1 moved from 0.527 to 0.705 in Q1 2026 — winning 27 of 32 queries against Exa (0.317), Parallel AI, Manus, and OpenAI. Fairer evaluation pipeline, new precision filter, full cost breakdown, and where competitors still win. In January, we published a web search API benchmark showing CatchAll finds roughly 5× more relevant events than the closest competitor — and committed to re-running it every quarter. We ran it again in March, against a larger field, with a stricter evaluation pipeline. Precision went from 0.437 to 0.632. F1 went from 0.527 to 0.705. This post covers what we measured, what changed, and where we still lose. **TL;DR** - 32 queries, 5 providers in Base mode, 4 in Lite mode; Manus AI added as a new competitor - CatchAll Base leads the field: F1 0.705 vs Exa's next-best 0.317, winning 27 of 32 queries - Quarter-over-quarter: F1 0.527 → 0.705, Precision 0.437 → 0.632, Recall 79.8% - We shipped a precision filter for Base mode — it removes irrelevant records before delivery, with a real but acceptable recall cost - New: CatchAll Lite, benchmarked at $1/query — F1 0.512 within its tier, but a genuinely more competitive field - Competitor evaluation is now more accurate: forced true positives dropped from 40–70% in January to 6–17% in March ## Why we ran it again The January post committed to quarterly reruns, honest reporting of regressions, and raw data on request. This is the first rerun. Three things changed. **The evaluation pipeline got fairer.** In January, URLs we couldn't fetch were counted as true positives rather than penalized for something outside the competitor's control. That meant 40–70% of some competitors' TPs were assumed relevant, never actually checked. We now retrieve content from ~94% of competitor URLs. Forced true positives for Exa dropped to 6.4%; for Parallel AI, to 16.8%. The scores here are substantially more trustworthy. **We shipped a precision filter.** After enrichment, each record is now checked against the original query before delivery — irrelevant results are dropped. Precision improved 44.6% to 0.632; recall fell 8.1% to 0.798. F1 improved 33.8% to 0.705. **We expanded the scope.** Manus AI joins the benchmark, the query set was refreshed, and CatchAll is now tested in two modes: Base and Lite. For the full methodology, [the January post](https://www.newscatcherapi.com/blog-posts/ai-web-search-recall-comparison-openai-exa-parallel-ai-catchall) has the complete picture. ## Benchmark setup ### 32 queries, March 2026 The query structure is the same as January: time-bounded event detection across eight categories — funding, labor, regulatory, accidents, real estate, government grants, tech outages, and data center expansions. The 5 new queries push into harder territory: three ask about Chinese government policy signaling (broad, geopolitical, 24-day windows) and two are hyper-local (immigration enforcement in a single US state; business openings in a specific Connecticut county). We included them deliberately to test edge cases where we expected to underperform. Category Queries (n) Example Query Funding & Financial 2 Find all funding of AI products or AI-oriented companies between 1–7 March 2026 Labor & Employment 2 Find all labour strikes announced between 1–7 March 2026 Regulatory & Compliance 4 Find all product recalls announced between 1–7 March 2026 Workplace & Accidents 5 Find all airport accidents between 1–7 March 2026 Real Estate & Infrastructure 6 Find all warehouses opened between 1–7 March 2026 Government Grants 4 Find all companies receiving a government grant in the US between 1–7 March 2026 Data Center & Tech 2 Find all data center expansion announcements between 1–7 March 2026 China Policy New 3 Catch all events where Chinese authorities signalled tech self-reliance policy, 1–24 March 2026 Niche / Geo-specific New 2 Catch all immigration enforcement actions in New Mexico between 1–24 March 2026 32 queries total · March 2026 · Extended to 1–24 March for China Policy and Niche categories ### Two tiers This benchmark covers two different CatchAll operating modes, which we’re calling Base and Lite. They’re not just the same product at different price points — they work differently. **Base** runs deep. It processes thousands of candidate web pages per query, enriches each record with structured extraction (company names, event types, affected counts, and so on), and returns fully validated records. Pricing is $0.10 per returned record. **Lite** runs shallow. It processes ~400 candidates per query, validates each on a binary yes/no relevance check, and returns event titles plus citation links — no enrichment fields. Pricing is $1.00 per query, flat. The competitor set also differs between tiers. Exa Websets is a Base-tier product and doesn’t appear in Lite. The Lite field is: CatchAll Lite, Parallel AI (Base generator), Manus 1.6 Lite, and OpenAI o4-mini-deep-research. One important note before the numbers: **Lite is intersected but is not a full subset of Base, so they are not directly comparable in terms of recall.** The two experiments have different provider sets and therefore different observable universes — 6,025 unique true positives in Base, 860 in Lite. We haven’t run cross-tier deduplication, so we can’t say precisely how much overlap exists between a Lite true positive and a Base one. We report within-tier recall only. ### Metrics Primary metric: **F1 score**, the harmonic mean of precision and recall. We compute it as a weighted aggregate, so large queries count proportionally more than small ones. Observable recall is bounded by what all providers found combined, not by all events that actually occurred. If 500 acquisitions happened globally, but every tool together found 329, recall is computed against 329. This limitation applies equally to all providers, so relative comparisons remain meaningful. ## Base mode results Provider F1 Precision Recall Total TPs Query Wins $/TP CatchAll 0.705 ⭐ 0.632 0.798 ⭐ 4,807 ⭐ 27/32 ⭐ $0.185 ⭐ Exa Websets 0.317 0.837 ⭐ 0.196 1,179 3/32 $0.290 Manus 1.6 0.104 0.594 0.057 342 0/32 $0.774 Parallel AI Core 0.103 0.777 0.055 334 2/32 $0.440 OpenAI o3 0.017 0.486 0.009 53 0/32 $0.854 All metrics are weighted aggregates · Observable universe: 6,025 unique TPs across 32 queries · March 2026 · ⭐ = Best in category F1 Score Comparison — Base Tier CatchAll F1 0.705 — more than double Exa's 0.317, the next-best provider · March 2026 CatchAll leads on F1 (0.705), recall (79.8%), and total events found (4,807). Exa leads on precision (0.837). Parallel AI Core and Manus 1.6 cluster around F1 0.103–0.104. OpenAI o3-deep-research at 0.017 is well below all others. ### The precision-recall tradeoff The precision filter that shipped in March improved precision from 0.437 to 0.632 — a 44.6% gain. Recall came in at 79.8%, down from 86.8% in January. That tradeoff is intentional — [here's the case for why recall matters more than precision](https://www.newscatcherapi.com/blog-posts/why-recall-beats-precision-for-real-world-ai-research). Both things are true, and both need saying: the filter genuinely improved signal quality, and it did cost some recall. Any filter that removes false positives will remove some true positives too — that’s unavoidable. The two experiments also aren’t a clean before/after: different queries, different timeframe, different competitors. So the most defensible cross-run statement is the F1 score, which moved from 0.527 to 0.705, accounting for both sides of the tradeoff. Precision vs Recall — Base Tier Point size reflects F1 score · CatchAll leads on both recall and overall balance · March 2026 ### Q4 2025 vs Q1 2026: CatchAll head-to-head Metric Q4 2025 Q1 2026 Change F1 0.527 0.705 +0.178 (+33.8%) Precision 0.437 0.632 +0.195 (+44.6%) Recall 0.868 0.798 −0.070 (−8.1%)\* Query win rate 25/35 (71%) 27/32 (84%) +13 pp \*Recall reflects the precision filter's trade-off alongside changes to the query set, timeframe, and competitor field — the two runs are not a controlled experiment. ### Coverage CatchAll alone covers 79.8% of the observable universe across 32 queries. The remaining 20% is distributed across competitors: Exa found 844 unique events that CatchAll missed (14.0% of the universe), Parallel AI found 242 (4.0%), Manus 206 (3.4%), and OpenAI 53 (0.9%). Running CatchAll alongside Exa covers roughly 94% of the observable universe. Whether that marginal 14% is worth the additional cost depends entirely on your use case. For a look at the pipeline architecture behind this coverage — Leiden clustering, meta-prompting, 50k pages per query — see [how we built the recall-first pipeline](https://www.newscatcherapi.com/blog-posts/building-recall-first-web-search). ### Cost efficiency CatchAll costs $0.185 per verified relevant event ($889.50 total; 8,895 raw records at $0.10 each). Exa costs $0.290/TP. Parallel AI Core $0.440/TP. Manus 1.6 $0.774/TP. OpenAI $0.854/TP. CatchAll’s higher absolute cost ($890 vs OpenAI’s $45) reflects scale: it finds 91x more verified relevant events. ### Where CatchAll wins — and where it doesn’t CatchAll leads most categories and wins 27 of 32 queries on F1. The strongest categories are Funding & Financial (F1 0.819), China Policy (0.802), and Labor & Employment (0.745). These are high-volume, broad-scope queries across multiple geographies — exactly the use case the architecture is built for. Three queries go to Exa: Taiwan workplace accidents (Exa 0.894 vs CatchAll 0.400), Texas workplace accidents (0.660 vs 0.472), and malls opened globally (0.438 vs 0.274). The pattern is consistent: when the true event universe is small — 47 to 137 events — Exa’s precision-first approach finds the core set cleanly. CatchAll’s broader scan picks up noise that overwhelms the small signal. Two queries go to Parallel AI: New Mexico immigration enforcement (0.609 vs CatchAll 0.242) and business openings in Fairfield County, Connecticut (0.585 vs 0.194). These are hyper-local entity-specific queries with around 26–27 events in the universe. At this scale, an entity-search tool with tight geographic matching outperforms a coverage-first approach. ## Lite mode results Provider F1 Precision Recall† Total TPs Query Wins $/TP CatchAll Lite 0.512 ⭐ 0.492 0.533 ⭐ 458 ⭐ 11/32 $0.068 ⭐ Parallel AI 0.406 0.603 ⭐ 0.306 263 12/32 ⭐ $0.094 Manus 1.6 Lite 0.323 0.769‡ 0.205 176 7/32 $0.075 OpenAI o4-mini-deep-research 0.109 0.646 0.059 51 2/32 $0.152 †Within-tier recall only — not comparable to Base figures. Observable universe: 860 unique TPs. ‡18.2% forced TP rate; precision figure is somewhat optimistic. F1 Score Comparison — Lite Tier Narrower gap than Base — a genuinely competitive four-way field · March 2026 CatchAll Lite leads on F1 (0.512) and total events found (458 TPs). But the Lite tier is more competitive: Parallel AI’s Base generator wins 12 of 32 queries to CatchAll’s 11, and Manus 1.6 Lite wins 7. This is a meaningfully different picture from Base mode, where CatchAll wins 27 of 32. Parallel AI leads in several categories where it struggles in Base: China policy queries (F1 0.657 vs CatchAll Lite’s 0.549), data center expansions (0.508 vs 0.333), and niche geographic queries (0.597 vs 0.185). For these query types at the Lite-tier budget, it’s worth evaluating. Manus 1.6 Lite has the highest precision in the Lite tier (0.769), but carries a caveat: its forced true positive rate is 18.2%, the highest of any provider in either tier. That precision figure is optimistic. ### Base vs Lite: CatchAll head-to-head Metric CatchAll Base CatchAll Lite F1 0.705 0.512 Precision 0.632 0.492 Total verified events (TPs) 4,807 458 Total cost (32 queries) $889.50 $31.00 Cost per TP $0.185 $0.068 Cost per query ~$27.80 avg $1.00 flat Recall not shown — within-tier figures are not directly comparable across tiers. CatchAll Lite costs $31.00 for 32 queries ($1.00/query flat, with $0 for 1 query returned zero records) and finds 458 verified, relevant events at $0.068/TP. CatchAll Base costs $889.50 and finds 4,807 events at $0.185/TP. Lite is 2.6x cheaper per relevant event found, but it finds 10.5x fewer of them, and there is no data extraction. ### The Parallel AI reversal One finding worth flagging: Parallel AI’s Base generator — used in the Lite tier — achieves F1 0.406, while their Core generator — used in the Base tier — achieves F1 0.103. The cheaper mode outperforms the expensive one on this benchmark by a wide margin. We don’t have an explanation for this, but anyone evaluating Parallel AI should be aware of it. ## Choosing the right web search API Use Case Best Fit Comprehensive global event monitoring CatchAll Base M&A, funding, regulatory, incident databases CatchAll Base Geopolitical / policy signal monitoring CatchAll Base High-frequency monitoring on a budget CatchAll Lite Broad sweeps before deeper investigation CatchAll Lite China policy queries at Lite-tier budget Parallel AI Small geo-specific queries (<150 events) Exa Websets Hyper-local / entity-specific research Parallel AI Narrative synthesis / research summaries OpenAI Deep Research **CatchAll Base** is the right choice when comprehensive coverage matters — global event monitoring, M&A databases, regulatory tracking, and incident feeds. It wins on F1 across most query categories and finds more relevant events per dollar than any other tool in this field. **CatchAll Lite** makes sense when cost is the primary constraint and moderate coverage is sufficient — daily signal sweeps, early-stage triage, high-frequency queries where you investigate further before acting. **Exa Websets** outperforms CatchAll in queries with small, well-bounded event universes (under ~150 events globally). Its precision-first approach shines when the signal is narrow. **Parallel AI** (Base generator in Lite, Core in Base) performs well on entity-specific and hyper-local queries — particularly the two queries in this benchmark with fewer than 30 events in the universe. Note the intra-product reversal described above before choosing a tier. **OpenAI Deep Research** underperformed on this benchmark (F1 0.017 in Base and 0.109 in Lite). It's better suited to synthesizing narratives than exhaustive event detection. ## Methodology notes **Recall is relative, not absolute.** All recall figures are computed against the observable universe — events found by at least one provider. True absolute recall is lower for everyone and not measurable. **Cross-tier recall is not reported.** Base and Lite are standalone experiments with separate provider sets and distinct observable universes. We haven't cross-verified the two runs; Lite figures are within-tier only. **Parallel AI forced TPs (16.8% in Base).** Down substantially from January's ~40–70%, but the highest remaining residual in Base. Their precision of 0.777 is somewhat optimistic as a result. **Manus Lite forced TPs (18.2%).** Same caveat for Manus Lite's precision of 0.769. **The Q4 2025 vs Q1 2026 comparison isn't a controlled experiment.** They used slightly different queries, different timeframes, and different competitor sets. F1 is the most defensible cross-run metric because it accounts for both precision and recall, but treat the comparison as directionally informative rather than a rigorous A/B test. **Gemini and Claude aren't in the Q1 2026 benchmark** but are accessible via code. Gemini uses Google Gen AI SDK with a polling pattern; its Interactions API is in preview, lacks a cancel endpoint, and has unpredictable runtimes. Claude has no dedicated deep research model via the API, but using the Anthropic Messages API with a web\_search tool shows comparable performance. Both are considered for the Q2 benchmark. ## What’s next We run these benchmarks quarterly. The next run will cover an expanded query set and updated provider configurations. We’ll publish the results whether they go up or down. Raw data and the full query list are available on request. If you spot a flaw in the methodology, reach out — we’d rather fix it than defend it. Both modes are available now. Start with 2,000 free credits at [platform.newscatcherapi.com](https://platform.newscatcherapi.com/) — that’s 20 Lite queries or enough to explore Base across several topics. Questions: [support@newscatcherapi.com](mailto:support@newscatcherapi.com). _Evaluation period: March 1–7, 2026 (extended to March 1–24 for 5 queries). For December 2025 results and full methodology, see_ [_our January benchmark post_](https://www.newscatcherapi.com/blog-posts/ai-web-search-recall-comparison-openai-exa-parallel-ai-catchall)_._ ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product July 27, 2026 News API vs Web Search API: Picking the Right Tool Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product July 22, 2026 Tavily Alternatives: Which Is Best for Enterprise AI Workflows? Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company July 17, 2026 What is Event-Driven Web Search? Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product July 14, 2026 All 272 Security Breaches in 3 Days: How CatchAll Found What Others Missed Engineering Team ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company July 6, 2026 Structured Data Extraction from Web Search Results: JSON Schemas, Validation Prompts, and What Goes Wrong Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company July 1, 2026 What Is Recall in AI Search? Why Your AI Agent Might Be Missing 80% of Results Engineering Team ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial June 23, 2026 How to Track New Local Business Openings: Build an Automated Local Business Tracker Engineering Team ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company June 15, 2026 Web Search API for Risk Monitoring: How Risk Teams Catch Signals Early Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial June 10, 2026 How to Evaluate Your AI Agent's Web Search Quality (Without Manual Labeling) Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product June 5, 2026 Web Scraping API vs. Custom Scraper: Which One Should You Use? Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial June 2, 2026 How Investment Teams Use Web Search APIs for Real-Time Market Intelligence Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 27, 2026 How to Build a Deep Research Agent with CatchAll and LangChain Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 25, 2026 How to Monitor M&A Activity: Build an Automated Mergers & Acquisitions Tracker NewsCatcher ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product May 5, 2026 Best Web Search API: An In-Depth Comparison of Available Tools in 2026 Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product April 29, 2026 Web Scraping API vs Web Search API: A Developer's Guide to Choosing the Right Tool Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product April 23, 2026 Web Search API Types: Three Architectures, One Confusing Name Oleksandr Sirenko ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product April 20, 2026 Introducing Company Watchlist: Scope Any Query to Your List of Companies Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company April 14, 2026 What Is a Web Search API? A Guide for Developers and Analysts Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company March 26, 2026 Why We're Building a Different Type of Web Index Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial February 25, 2026 Beyond the Scoreboard: Building a Live Olympics 2026 Incident and Medal Dashboard with CatchAll NewsCatcher ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product February 3, 2026 Google found 69 results. We found 3,261. Here's how Engineering Team ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company January 28, 2026 Why Recall Beats Precision for Real-World AI Research Oleksandr Sirenko ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial January 14, 2026 Building a Deep Research Agent with CatchAll and CrewAI NewsCatcher ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product January 13, 2026 Evaluating Recall in Web Search APIs: OpenAI vs Exa vs Parallel AI vs CatchAll NewsCatcher ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial December 29, 2025 Building a Supply Chain Risk Monitor Using CatchAll and CrewAI NewsCatcher ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product November 21, 2025 Introducing CatchAll: A SOTA Web Search API for Real-World Events Margaretha Boetticher Head of Growth ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company June 10, 2025 How Transparency International Uses NewsCatcher Data to Fight Health Corruption Jonathan Cushing Programme Director ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product March 14, 2025 Comparing News Data Search: LLMs, Analyst, and NewsCatcher Pipelines Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product March 6, 2025 Measuring Product Launch Impact with News Data Mariia Platonova Head of Marketing ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company January 24, 2025 NewsCatcher Partners With Reworkd To Streamline Access To Actionable Web Data Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial January 22, 2025 Fake News Detection Using Python Karthik Devan Tech Copywriter ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company December 16, 2024 Top Media Outlets: 50 Essential News Sites to Consider for Your News Analysis in 2025 Mariia Platonova Head of Marketing ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product December 9, 2024 How Does Our Local News API Work? Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial November 25, 2024 Detecting Events in News Using NewsCatcher’s Events Intelligence API Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product November 5, 2024 Introducing NewsCatcher's Local News API Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company October 15, 2024 How to Choose a News API Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product September 17, 2024 Using Sentiment Analysis for Market Research Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company August 8, 2024 60,000 AI-generated news articles are published every day Bradley Emi CTO Pangram Labs ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product May 7, 2024 Top 4 Free & Open-Source News API Alternatives Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 7, 2024 Ultimate Guide To Text Similarity With Python Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 7, 2024 Using News API For Share Of Voice (SOV) Measurement & Competitor Tracking Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 7, 2024 How To Train Custom Named Entity Recognition \[NER\] Model With SpaCy Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Company May 7, 2024 Top 15 Takeaways From Running A Bootstrapped Startup For 1 Year Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 7, 2024 Named Entity Recognition (NER) with SpaCy \[with code example\] Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product May 7, 2024 How We Built A News API Beta In 60 Days Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 7, 2024 How To Annotate Entities With Spacy PhraseMatcher Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 7, 2024 How To Present/Show Open-Source Projects \[Practical Guide\] Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 7, 2024 Google Kubernetes Engine as an alternative to Cloud Run Maksym Sugonyaka ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product May 7, 2024 Google News RSS Search Parameters: The Missing Docs Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial May 7, 2024 Building A PR/Communication Media Monitoring Tool With News API Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product May 7, 2024 100k+ Rows Topic Labeled News Dataset Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Product May 7, 2024 Announcing Free COVID-19 News API Artem Bugara CEO & co-founder ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial March 14, 2024 SpaCy vs NLTK. Text Normalization Comparison \[with code\] Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial March 14, 2024 Top 6 Text Annotation Tools Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial March 14, 2024 Sentiment Analysis Using Python Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial March 14, 2024 Mining Financial Stock News Using SpaCy Matcher Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial March 14, 2024 Learning Natural Language Processing (NLP) Made Easy Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial March 14, 2024 How To Classify Text With Python, Transformers & scikit-learn Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial March 14, 2024 How To Build Your Own Crypto News Aggregator Aditya Singh Head Of Product ![Black thin grid lines forming diamond-shaped pattern on a white background.](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/68affa12647a284d358bdd06_grid.png) Tutorial March 14, 2024 4 Python Web Scraping Libraries To Mining News Data Aditya Singh Head Of Product Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/6a670bfea4b0de80b8bc8ed1_WZQF1mD-x1jXA1IrCYKSp.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) July 27, 2026 News API vs Web Search API: Picking the Right Tool Margaretha Boetticher , Head of Growth Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/6a5f6767a9739dfc64a2c695_Group%201948761549.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) July 22, 2026 Tavily Alternatives: Which Is Best for Enterprise AI Workflows? Artem Bugara , CEO & co-founder Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/6a59e4063d8fc1826f8213b7_Group%201948761483%20\(1\).png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) July 17, 2026 What is Event-Driven Web Search? Margaretha Boetticher , Head of Growth Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/6a55f854710d0a318c805131_Group%201948761441.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) July 14, 2026 All 272 Security Breaches in 3 Days: How CatchAll Found What Others Missed Engineering Team , Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/6a54d21295f8b3779900361d_Group%2019487651305.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) July 6, 2026 Structured Data Extraction from Web Search Results: JSON Schemas, Validation Prompts, and What Goes Wrong Artem Bugara , CEO & co-founder Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/6a44a8c5d98441425f7be1fb_Group%201948761306.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) July 1, 2026 What Is Recall in AI Search? Why Your AI Agent Might Be Missing 80% of Results Engineering Team , Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694badb253c66b068a84b2b1_Outlines%20-%2001.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) June 23, 2026 How to Track New Local Business Openings: Build an Automated Local Business Tracker Engineering Team , Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/6a30f6c037d04b5a6818437f_Group%201948761188.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) June 15, 2026 Web Search API for Risk Monitoring: How Risk Teams Catch Signals Early Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae0f66f40e1da7e825b3_Outlines%20-%2005.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) June 10, 2026 How to Evaluate Your AI Agent's Web Search Quality (Without Manual Labeling) Artem Bugara , CEO & co-founder Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/6a218af5696f3df0d88f5713_Photo%20-%2016%20copy.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) June 5, 2026 Web Scraping API vs. Custom Scraper: Which One Should You Use? Margaretha Boetticher , Head of Growth Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae1fc954ba3e76b3e8f3_Outlines%20-%2007.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) June 2, 2026 How Investment Teams Use Web Search APIs for Real-Time Market Intelligence Margaretha Boetticher , Head of Growth Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae90f7c762ca8f9dfb0a_Outlines%20-%2014.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 27, 2026 How to Build a Deep Research Agent with CatchAll and LangChain Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695b9697dd85c45dd848c0b0_Outlines%20-%2010.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 25, 2026 How to Monitor M&A Activity: Build an Automated Mergers & Acquisitions Tracker NewsCatcher , Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/69f9ad6d979c6979324a0f55_image.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 5, 2026 Best Web Search API: An In-Depth Comparison of Available Tools in 2026 Margaretha Boetticher , Head of Growth Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/69f0bd81a4b20a34b50a2093_Group%201948760871.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) April 29, 2026 Web Scraping API vs Web Search API: A Developer's Guide to Choosing the Right Tool Margaretha Boetticher , Head of Growth Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/69f0bd3c7c28ff71ae20a9b5_Group%2019487160807.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) April 23, 2026 Web Search API Types: Three Architectures, One Confusing Name Oleksandr Sirenko , Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/69e62a703101cde9257c3862_image.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) April 20, 2026 Introducing Company Watchlist: Scope Any Query to Your List of Companies Margaretha Boetticher , Head of Growth Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/69de6d5b0376ea578775b8c2_Group%201948760641.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) April 14, 2026 What Is a Web Search API? A Guide for Developers and Analysts Margaretha Boetticher , Head of Growth Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/69c699e91bf6d50b50d90388_Group%201948760465.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 26, 2026 Why We're Building a Different Type of Web Index Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae1fc954ba3e76b3e8f3_Outlines%20-%2007.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) February 25, 2026 Beyond the Scoreboard: Building a Live Olympics 2026 Incident and Medal Dashboard with CatchAll NewsCatcher , Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/69c6962e2eca7788bb0ef7c2_Group%201948760463.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) February 3, 2026 Google found 69 results. We found 3,261. Here's how Engineering Team , Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695b9c0a91204575533e8a13_Photo%20-%2007.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) January 28, 2026 Why Recall Beats Precision for Real-World AI Research Oleksandr Sirenko , Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae0f66f40e1da7e825b3_Outlines%20-%2005.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) January 14, 2026 Building a Deep Research Agent with CatchAll and CrewAI NewsCatcher , Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/69c68f671cb7a4a0dd50cb77_Group%201948760452.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) January 13, 2026 Evaluating Recall in Web Search APIs: OpenAI vs Exa vs Parallel AI vs CatchAll NewsCatcher , Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae72d04043bbfee19a67_Outlines%20-%2013.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) December 29, 2025 Building a Supply Chain Risk Monitor Using CatchAll and CrewAI NewsCatcher , Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694ba3dd0fd2cf0ad0d2dc7e_catchall.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) November 21, 2025 Introducing CatchAll: A SOTA Web Search API for Real-World Events Margaretha Boetticher , Head of Growth Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695e560fdc8f58d3c27bbfc6_transp%20int%20Logo.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) June 10, 2025 How Transparency International Uses NewsCatcher Data to Fight Health Corruption Jonathan Cushing , Programme Director Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695e55c8990d87a4dbedf0d1_Photo%20-%2023.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2025 Comparing News Data Search: LLMs, Analyst, and NewsCatcher Pipelines Aditya Singh , Head Of Product Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bb1e8668f35e55281f38a_annie-spratt-0HlAB7KV_rs-unsplash%201.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 6, 2025 Measuring Product Launch Impact with News Data Mariia Platonova , Head of Marketing Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695fd8d57cabf75c463449ca_reworkd.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) January 24, 2025 NewsCatcher Partners With Reworkd To Streamline Access To Actionable Web Data Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694badb253c66b068a84b2b1_Outlines%20-%2001.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) January 22, 2025 Fake News Detection Using Python Karthik Devan , Tech Copywriter Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695e544d958a2c2c658b300b_Photo%20-%2006.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) December 16, 2024 Top Media Outlets: 50 Essential News Sites to Consider for Your News Analysis in 2025 Mariia Platonova , Head of Marketing Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bb1cd90f234db9fa81fb6_ChatGPT%20Image%20Dec%2018%2C%202025%2C%2002_58_37%20PM.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) December 9, 2024 How Does Our Local News API Work? Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae2fbb8587cffe967808_Outlines%20-%2008.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) November 25, 2024 Detecting Events in News Using NewsCatcher’s Events Intelligence API Aditya Singh , Head Of Product Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695fd36f3d386d0e1df07ddc_Gradient%203%20%2B%20Product.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) November 5, 2024 Introducing NewsCatcher's Local News API Aditya Singh , Head Of Product Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695e569a4b8ba20bfc167abf_Photo%20-%2013.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) October 15, 2024 How to Choose a News API Artem Bugara , CEO & co-founder Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bb22451318843789d67b2_annie-spratt-0HlAB7KV_rs-unsplash%201%20copy%202.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) September 17, 2024 Using Sentiment Analysis for Market Research Artem Bugara , CEO & co-founder Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bb2a8a8333c7e1acb23d4_ChatGPT%20Image%20Dec%2022%2C%202025%2C%2006_16_07%20PM.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) August 8, 2024 60,000 AI-generated news articles are published every day Bradley Emi , CTO Pangram Labs Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695e5477f8ae2b220a4f5793_Photo%20-%2020.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Top 4 Free & Open-Source News API Alternatives Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694badfd141d739f44c78c7d_Outlines%20-%2004.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Ultimate Guide To Text Similarity With Python Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695e549d242e6ffef2e7b9b1_Photo%20-%2015.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Using News API For Share Of Voice (SOV) Measurement & Competitor Tracking Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae0f66f40e1da7e825b3_Outlines%20-%2005.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 How To Train Custom Named Entity Recognition \[NER\] Model With SpaCy Aditya Singh , Head Of Product Company ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695b9c0a91204575533e8a13_Photo%20-%2007.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Top 15 Takeaways From Running A Bootstrapped Startup For 1 Year Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bade0537e64be3863a02f_Outlines%20-%2002.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Named Entity Recognition (NER) with SpaCy \[with code example\] Aditya Singh , Head Of Product Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bb282b5912a1c3dfb3b29_Photo%20-%2019.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 How We Built A News API Beta In 60 Days Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae72d04043bbfee19a67_Outlines%20-%2013.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 How To Annotate Entities With Spacy PhraseMatcher Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae1fc954ba3e76b3e8f3_Outlines%20-%2007.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 How To Present/Show Open-Source Projects \[Practical Guide\] Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae90f7c762ca8f9dfb0a_Outlines%20-%2014.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Google Kubernetes Engine as an alternative to Cloud Run Maksym Sugonyaka , Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae72d04043bbfee19a67_Outlines%20-%2013.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Google News RSS Search Parameters: The Missing Docs Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694badb253c66b068a84b2b1_Outlines%20-%2001.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Building A PR/Communication Media Monitoring Tool With News API Artem Bugara , CEO & co-founder Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695b9b6f168025cfb8a98f00_annie-spratt-0HlAB7KV_rs-unsplash%201%20copy%203.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 100k+ Rows Topic Labeled News Dataset Artem Bugara , CEO & co-founder Product ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695fd488c4b0eedbe800952c_covid.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) May 7, 2024 Announcing Free COVID-19 News API Artem Bugara , CEO & co-founder Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae2fbb8587cffe967808_Outlines%20-%2008.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2024 SpaCy vs NLTK. Text Normalization Comparison \[with code\] Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/695b9697dd85c45dd848c0b0_Outlines%20-%2010.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2024 Top 6 Text Annotation Tools Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae2fbb8587cffe967808_Outlines%20-%2008.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2024 Sentiment Analysis Using Python Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae90f7c762ca8f9dfb0a_Outlines%20-%2014.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2024 Mining Financial Stock News Using SpaCy Matcher Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694badfd141d739f44c78c7d_Outlines%20-%2004.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2024 Learning Natural Language Processing (NLP) Made Easy Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae1fc954ba3e76b3e8f3_Outlines%20-%2007.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2024 How To Classify Text With Python, Transformers & scikit-learn Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae0f66f40e1da7e825b3_Outlines%20-%2005.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2024 How To Build Your Own Crypto News Aggregator Aditya Singh , Head Of Product Tutorial ![](https://cdn.prod.website-files.com/6889ba1ceb3db73bf9043743/694bae1fc954ba3e76b3e8f3_Outlines%20-%2007.png)![](https://cdn.prod.website-files.com/68836ccb0e22570e2e820207/6932f0b03e4b721350aebcc6_Frame%202147214778.png) March 14, 2024 4 Python Web Scraping Libraries To Mining News Data Aditya Singh , Head Of Product