ScraperWatch
Measured conclusion: Deep-tested. L2 outcome: tools_ok.
Find web scrapers that work; compare scraping APIs, proxy prices and RAG extractors.
| Author | com.scraperwatch |
|---|---|
| Access | remote |
| Publisher key required | No |
| Measured state | Deep-tested |
| L1 liveness | alive |
| L1 latency | 2406 ms |
| Last measured | 2026-10-26 |
Add to your agent
Copy this into your MCP client config:
{
"mcpServers": {
"ScraperWatch": {
"url": "https://scraperwatch.com/mcp",
"transport": "streamable-http"
}
}
}
Measured tools (8)
find_scrapersWhich tracked scrapers have the most recorded 30-day users for a website? Uses the filtered official Apify Store export; data_updated is the saved snapshot timestamp, with age/status in evidence. Returns usage, run completion and billing fields, not live tests. min_success_rate: zero includes unknown rates; positive thresholds require known rates.
Parameters:
site(required) — stringlimit— integermin_success_rate— number
Hints: read-only not declared · destructive not declared · idempotent not declared · open-world not declared
compare_scrapersread-onlyHow do two to five exact actor IDs compare? Uses the filtered official Apify Store export; data_updated and evidence describe the saved snapshot date and age. Reports usage, eligible run completion and compatible result-event rates; unknown/excluded IDs are indistinguishable. Different targets have no winner; listed rates are not total cost.
Parameters:
actor_ids(required) — array
Hints: read-only yes · destructive no · idempotent not declared · open-world no
best_scraperWhich tracked actors lead recorded run completion, usage and qualifying price for a website? Uses the filtered official Apify Store export; data_updated and evidence give snapshot date and age. Completion candidates require 300+ runs and 20+ users; price candidates also require 95%+ completion and known result-event rates. No live tests or output-quality measure.
Parameters:
site(required) — string
Hints: read-only not declared · destructive not declared · idempotent not declared · open-world not declared
compare_scraping_apisWhat do saved scraping API tests report? Uses the saved API benchmark summary and frozen matched ScraperAPI/ScrapingBee report. generated_at/window_days date the aggregate only; matched evidence has its own window. Returns completion/content checks and latency with separate denominators and limitations; no current vendor requests.
Hints: read-only not declared · destructive not declared · idempotent not declared · open-world not declared
compare_rag_extractorsread-onlyHow did Firecrawl, Jina Reader and DIY extraction score on saved documentation fixtures? Uses the saved RAG benchmark and hash-checked table audit. Per-vendor last_run dates are source observations; generation time is unknown. Returns text/code/table scores and latency with limitations; audit may be unavailable or stale. No live tests or comparable cost.
Hints: read-only yes · destructive no · idempotent not declared · open-world no
compare_proxy_providersread-onlyWhat captured proxy offers cover a product type and optional monthly GB? Uses research/e5/proxies.json; observed_on dates each captured offer, with observations outside the past 30 days omitted. Estimates full saved package bills only; IP offers are separate and unknown costs remain null. No live prices or performance measurements.
Parameters:
product_type(required) — stringmonthly_gb
Hints: read-only yes · destructive no · idempotent not declared · open-world no
actor_historyread-onlyHow have one tracked actor's usage, run completion and primary event price changed by day? Uses compact official Apify Store history exports; dates are snapshot filenames, not verified per-actor observation times. days is a UTC calendar window ending today (1-365). Missing days stay absent; event rates are not total cost or necessarily per result.
Parameters:
actor_id(required) — stringdays— integer
Hints: read-only yes · destructive no · idempotent not declared · open-world no
list_websitesWhich websites are in the filtered scraper export, and how many actors and summed 30-day users does each have? Uses saved official Apify Store statistics from latest.json. Counts reflect that snapshot, not live coverage; this response has no date field. Summed actor users are not deduplicated across actors.
Hints: read-only not declared · destructive not declared · idempotent not declared · open-world not declared
Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.