--- source_url: "https://scrappey.com/qa/anti-bot/anti-bot-services-compared" title: "Anti-Bot Services Compared (2026) | Scrappey" mirrored_at: 2026-08-04T12:31:45.808Z host: scrappey.com cited_in_42a: true mirror_canonical: "https://index.42a.ai/scrappey.com/qa/anti-bot/anti-bot-services-compared" --- > **Original source:** https://scrappey.com/qa/anti-bot/anti-bot-services-compared [Anti-Bot](https://scrappey.com/qa/anti-bot) ![Pim](https://scrappey.com/authors/pim.png) Pim · Scrappey Research June 19, 2026 5 min read Paste into ChatGPT, Claude, or any LLM On this page [The six vendors at a glance](#the-six-vendors-at-a-glance)[What the independent benchmarks show](#what-the-independent-benchmarks-show)[Why your approach has to change per vendor](#why-your-approach-has-to-change-per-vendor) **Anti-bot services are the security products site operators put in front of their sites to tell automated traffic apart from real visitors, and six vendors dominate the market: Cloudflare, [DataDome](https://scrappey.com/qa/anti-bot/what-is-datadome), Akamai, PerimeterX, [Kasada](https://scrappey.com/qa/anti-bot/what-is-kasada) and Imperva.** They differ in architecture (CDN edge vs per-site scoring vs shared reputation), in how aggressively they challenge default automated clients, and in the kinds of sites that deploy them. This entry compares all six in one place, with the independently observed strength and deployment data sourced from [Scrapeway](https://scrapeway.com/anti-bot-services)'s public 2026 benchmark. ## Quick facts Vendors compared Cloudflare, DataDome, Akamai, PerimeterX, Kasada, Imperva Highest observed strength Cloudflare, DataDome, PerimeterX, Kasada Moderate observed strength Akamai, Imperva Most widespread Cloudflare (~20% of all websites) Data source Independent 2026 benchmarking (Scrapeway) - 11 targets, 1,000+ requests/service, twice monthly ## The six vendors at a glance The anti-bot landscape, by observed challenge strength HIGHER CHALLENGE STRENGTH Cloudflare DataDome PerimeterX Kasada MODERATE CHALLENGE STRENGTH Akamai Imperva The six dominant anti-bot vendors, grouped by how often they challenged default automated clients in independent 2026 benchmarking (Scrapeway). Grouping is relative, not a security ranking. The table below maps the six dominant anti-bot vendors to their product category, how strongly each was observed to challenge default automated clients in independent 2026 benchmarking by [Scrapeway](https://scrapeway.com/anti-bot-services), and the kinds of sites where each is commonly deployed. "Challenge strength" reflects how often unconfigured, default clients were challenged in that testing - not a judgement about security quality. Vendor Product category Challenge strength (observed) Commonly seen on **[Cloudflare](https://scrappey.com/qa/anti-bot/what-is-cloudflare-bot-management)** CDN with an optional web application firewall (WAF), Bot Management and Turnstile layers High ~20% of all websites; large e-commerce and jobs marketplaces (e.g. StockX, Indeed) **DataDome** Dedicated, EU-origin bot-management with DDoS protection; per-site ML scoring High E-commerce and marketplaces (e.g. Etsy) **[PerimeterX](https://scrappey.com/qa/anti-bot/what-is-perimeterx) (HUMAN)** Cloud security with DDoS and bot protection; leans heavily on AI behavioural analysis High E-commerce and real-estate marketplaces (e.g. StockX, Zillow) **Kasada** Dedicated bot-mitigation with DDoS protection; client-side code interrogation High Real-estate and ticketing sites (e.g. Realtor.com) **[Akamai](https://scrappey.com/qa/anti-bot/what-is-akamai-bot-manager)** Global CDN with a broad security suite, including Bot Manager Moderate Large enterprise e-commerce and media sites (e.g. StockX) **[Imperva](https://scrappey.com/qa/anti-bot/what-is-imperva-incapsula) (Incapsula)** Cloud security with DDoS protection and a WAF/bot layer Moderate Enterprise sites and jobs marketplaces Category descriptions and the observed strength and deployment data come from [Scrapeway](https://scrapeway.com/anti-bot-services) (2026). The benchmark runs the same automated clients against 11 live targets at 1,000+ requests per service, refreshed twice a month per Scrapeway's [published methodology](https://scrapeway.com/); strength is grouped High/Moderate from those public results. ## What the independent benchmarks show [Scrapeway](https://scrapeway.com/anti-bot-services), an independent benchmark that is not affiliated with any of these vendors, runs the same automated clients against live protected targets across 11 sites and republishes the results twice a month. Two patterns hold up across runs. **The strongest products separate sharply from the rest.** Against Cloudflare-protected targets, only a small minority of default, unconfigured clients returned page content reliably; most were challenged on the majority of requests. DataDome, PerimeterX and Kasada landed in the same high-strength tier, while Akamai and Imperva were observed challenging default clients less often. This is why a tool that works against one vendor frequently stalls against another. **Strength is about coherence, not any single trick.** The clients that scored well were the ones whose signals all agreed - [TLS fingerprint](https://scrappey.com/qa/anti-bot/what-is-tls-fingerprinting), HTTP/2 framing, IP reputation, timezone and headers describing one consistent, real machine. A pile of individually-plausible edits that do not agree with each other is exactly what these systems are tuned to catch. Because the right configuration (TLS profile, proxy type, and whether a real browser is even needed) differs per vendor, teams working at volume with sites they are authorized to access often consolidate on a managed web-data API rather than maintaining six separate in-house integrations. ## Why your approach has to change per vendor Identifying the vendor tells you more about how to integrate with a permitted site than the site's own design does, because each product is built differently: - **Cloudflare** runs at the CDN edge with one global ML model trained on roughly 20% of all internet traffic; the same hostname can range from no bot product at all to full Bot Management scoring. - **DataDome** scores every request independently at the application layer with tens of thousands of per-site models, so IP reputation weighs heavily and behaviour varies from one customer site to the next. - **PerimeterX** shares reputation across all of its customer sites, so a signal evaluated as suspect is evaluated network-wide rather than per-site. - **Kasada** inspects client code with `Function.prototype.toString()`, which is why runtime JavaScript patching behaves differently from source-level approaches. - **Akamai** often protects the web front-end while a brand's mobile API uses a lighter architecture, leaning on TLS-handshake and behavioural signals. - **Imperva (Incapsula)** typically defaults to IP/WAF screening with a lighter behavioural layer than the dedicated bot-management products. To tell which one sits in front of a given site, the fastest signal is the response cookie names and headers - see the [anti-bot vendor detection cheatsheet](https://scrappey.com/qa/anti-bot/anti-bot-vendor-detection-cheatsheet) for the one-response lookup table. ## Code example ## Related terms Concept map ## Concept map ### How Anti-Bot Services Compared connects The terms most directly tied to this one. Hover a node to see its neighbours, click to preview, drag to rearrange. 0 terms · 0 connections ## Frequently asked questions ### Which anti-bot service is the most common? Cloudflare, by a wide margin - it sits in front of roughly 20% of all websites as a CDN. Only a fraction of those sites enable its Bot Management or Turnstile layers, so the presence of Cloudflare alone does not tell you whether a bot product is active; the cf-mitigated header and challenge assets do. ### Which anti-bot services challenge default clients the most? In independent 2026 benchmarking by Scrapeway, Cloudflare, DataDome, PerimeterX and Kasada challenged the majority of default, unconfigured automated clients, while Akamai and Imperva were observed challenging them less often. Strength varies per deployment and is retuned over time, so treat the grouping as directional rather than fixed. ### How can I tell which anti-bot service a website uses? Read the response cookie names and headers from a single request: cf\_clearance/cf-ray for Cloudflare, the datadome cookie for DataDome, \_abck for Akamai, \_px3 for PerimeterX, x-kpsdk-\* for Kasada, and Incapsula/visid markers for Imperva. The anti-bot vendor detection cheatsheet has the full one-response lookup table. ### Why does one tool work on some sites but not others? Because the vendors are built differently. Cloudflare uses one global model at the CDN edge, DataDome scores per-site at the application layer, PerimeterX shares reputation across customers, and Kasada interrogates client code. A configuration that presents a coherent identity to one architecture may not satisfy another, which is why approach has to change per vendor. Last updated: 2026-06-19