Real failure-rate data for scraping APIs and anti-bot Actors
TopScraper is an independent benchmark directory for web scraping services. Instead of marketing claims, every Measured listing carries real 30-day run counts, success rates and pay-per-result pricing, pulled from the Apify public Store API. Commercial APIs are listed with Claimed pricing straight from their public pages until we benchmark them.
Original statistics (October 2026)
- 3,032 scraping Actors matched in the top 3,957 of the Apify Store, executing 222,295,388 runs in the last 30 days.
- The market is winner-take-most: the top 10 Actors absorb 42.0% of all scraping runs.
- Median 30-day failure rate among the 1,173 Actors with ≥1,000 runs/month is 0.06% — but the worst general-purpose crawler failed 19.55% of 11,408 runs (apify/ai-web-scraper).
- Dedicated anti-bot / Cloudflare-bypass Actors show real 30-day failure rates from 0.00% to 5.37% — up to a 97x difference vs the general-crawler median between "bypass" products that sound identical. See the report.
- 34 abandoned scrapers (no code update for 6+ months) each still run ≥1,000 times/month — together 655,159 runs/month served by unmaintained code. See the maintenance gap.
Method: full scan of the 3,957 most popular Actors on the Apify public Store API (2026-10-20), keyword-filtered to scraping infrastructure. Failure rate = FAILED runs / TOTAL runs over the trailing 30 days (ABORTED and TIMED-OUT counted separately, not as failures). Details: How we measure. Cite as: TopScraper, "October 21, 2026 scraping infrastructure benchmarks", https://topscraper.online.
The directory — 35 listings
Grouped by category. 6 anti-bot tools, 11 scraping API platforms, 15 measured serverless scrapers, 3 captcha & proxy services.
Anti-Bot & Cloudflare Bypass (6)
Actors and APIs whose job is getting past Cloudflare, PerimeterX and friends. The bypass Actors include measured 30-day failure rates; commercial unlockers show claimed pricing.
Scraping API Platforms (11)
Commercial HTML-in/HTML-out APIs. Pricing is claimed from public pricing pages (Oct 2026) — we have not benchmarked them yet. Apify is the exception: we measure its ecosystem directly.
Serverless Scrapers (Measured) (15)
The highest-traffic scraping Actors on the Apify Store, with real 30-day run counts, failure rates and pay-per-result pricing from the public Store API.
Captcha & Proxy Infrastructure (3)
CAPTCHA solvers and residential proxy pools that self-built scrapers pair with. Claimed pricing only.
Data reports
Cloudflare Bypass Actors: Real 30-Day Failure Rates
Most-Used Scraping Actors Right Now
Abandoned But Still Running: The Maintenance Gap
Need a custom scraper built?
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How we measure
Data source
We scan the Apify public Store API (no authentication, public data) and keep every Actor whose name, title or description matches scraping-infrastructure keywords (scraper, crawler, bypass, unblocker, captcha, proxy, anti-bot…). This scan: 3,957 Actors scanned out of 93,039 in the Store (popularity-sorted), 3,032 matched, on October 21, 2026.
Metrics
- runs30d — total public Actor runs in the trailing 30 days (
publicActorRunStats30Days.TOTAL). - Failure rate —
FAILED / TOTAL. Aborted and timed-out runs are reported separately and are not counted as failures. - users30d — distinct users who ran the Actor in the trailing 30 days.
- Runs per user — runs30d / users30d; a proxy for how "API-like" (vs casual) the usage is.
- $ per 1k results — for pay-per-event Actors: the FREE-tier price of the primary billing event × 1,000. This is the list price, not our measured cost.
- Abandoned — no code update (
modifiedAt) for 6+ months, from our independent Store scan of 3,475 Actors.
What we do NOT claim
We measure the Apify ecosystem directly. We do not yet run black-box benchmarks against commercial APIs — everything marked Claimed comes from vendor pricing pages and must be treated as marketing until verified. Failure rates measure Actor reliability on the Apify platform; they are not a like-for-like comparison with SaaS scraping APIs.
Update cadence
Data is re-fetched weekly. Every page shows its data snapshot date; historical snapshots are kept so trends become citable over time.