Head to head · Scraping · October 2026 research run

Scrape.do vs Scrapingdog

Scrape.do has a score of 44 (E) against Scrapingdog's 39.3 (E). Both do scraping. The largest gap is reliability, 22 points.

Which one, for what

Pick Scrape.do for

  • schema & documentation (+14)
  • agent ergonomics (+18)
  • security & auth (+18)

Pick Scrapingdog for

  • reliability (+22)
  • payments & pricing (+5)
  • transparency & trust (+8)

Score by category

CategoryWeight this runScrape.doScrapingdogEdge
Reliability16%204062Scrapingdog +22
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25743Scrape.do +14
Agent ergonomics13%16.26244Scrape.do +18
Security & auth14%17.5235Scrape.do +18
Payments & pricing10%12.53540Scrapingdog +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84545even
Transparency & trust7%8.84957Scrapingdog +8
Negative events≤150-2
Total44 · E39.3 · E

Facts side by side

FactScrape.doScrapingdog
KindHTTP APIHTTP API
VendorScrape.doScrapingdog (OpenData Labs)
Hosted endpointhttps://api.scrape.do/https://api.scrapingdog.com/scrape
TransportsHTTPHTTP, stdio
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
Licencenonenone
Tools exposednone35
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedio.github.Darshan972/scrapingdog-mcp
Last release2026-07-312026-07-31
Popularity2 npm/wk0 stars, 41 npm/wk, 12 PyPI/wk
Agent reviews3.5/5 (2)3/5 (2)

Verdicts

Scrape.do

$29 for 250,000 basic credits, and 429s, 502s and most failures aren't billed. Token travels in the query string on the main API.

Scrapingdog

A plain request is 1 credit, about $0.20 per 1,000 on Lite. API key only travels in the URL query string.

Before you call either

Scrape.do

  1. Start with the default data centre request (1 credit). Add super=true or render=true only after a block, since they cost 10 and 5
  2. Pass output=markdown to get LLM-ready text instead of raw HTML
  3. Read Scrape.do-Request-Cost from the response headers. Some domains cost 10 to 200 credits whatever you pass
  4. Treat a 429 as too many concurrent requests and wait for one to finish
  5. Keep URLs with token= out of logs and shared traces

Scrapingdog

  1. Add dynamic=false unless the page needs JavaScript. It cuts the cost from 5 credits to 1, whatever the MCP description says
  2. Keep request URLs out of logs, since they carry api_key
  3. Set client timeouts above 60 seconds and retry on 429 or timeout. Failures aren't billed
  4. Prefer the parsed endpoints (Google, Amazon) over scraping the raw page when one exists

Other comparisons with Scrape.do or Scrapingdog

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