Head to head · Extraction · October 2026 research run

Context.dev vs ScrapeAtlas

Context.dev scores 78.3 (A) on agent readiness against ScrapeAtlas's 63 (B), and leads in 6 of 7 scored categories. ScrapeAtlas leads on payments & pricing. Both do extraction.

Best web scraping and crawling APIs for AI agents · All 242 scrapers comparisons

Which one, for what

Context.dev A

Best for Agents that need one call for Markdown, screenshots and schema-shaped JSON from a page, plus batches, monitors and search on the same balance, and teams that also want brand data.

Ahead on

  • Reliability, 67 against 42
  • Schema & documentation, 96 against 88
  • Agent ergonomics, 90 against 76
  • Security & auth, 83 against 55
  • Maintenance & community, 85 against 70
  • Transparency & trust, 74 against 61

Also in its favour

  • Agent-ready, a grade of BB or better

Watch for

The terms let Context.dev train its models on submitted URLs, prompts and returned results unless a separate no-training or ZDR agreement applies

ScrapeAtlas B

Best for Agents that need structured public data from a named social, video, forum, marketplace or prediction-market platform, such as a creator's profile and recent posts, a thread's comments, a product's reviews or a market's order book, paid per successful request without a subscription.

Ahead on

  • Payments & pricing, 55 against 50

Watch for

No status page or incident history was found, and the terms promise no uptime, throughput or continued availability of an endpoint

Score by category

CategoryWeight this runContext.devScrapeAtlasEdge
Reliability16%206742Context.dev +25
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29688Context.dev +8
Agent ergonomics13%16.29076Context.dev +14
Security & auth14%17.58355Context.dev +28
Payments & pricing10%12.55055ScrapeAtlas +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88570Context.dev +15
Transparency & trust7%8.87461Context.dev +13
Negative events≤1500
TotalA 78.3/100B 63/100

Facts side by side

FactContext.devScrapeAtlas
KindHTTP APIHTTP API
VendorContext Dev Inc.OD. Media & Technology LLC
Hosted endpointhttps://api.context.dev/v1https://api.scrapeatlas.com
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreemiumPay per use
x402nono
LicencenoneProprietary service under ScrapeAtlas's Terms of Service. The @scrapeatlas/cli package on npm is MIT with no public source repository
Tools exposed42373
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedio.github.OnlineDopamine/scrapeatlas
Last release2026-10-172026-10-28
Terms last updated2026-10-01
Privacy policy last updated2026-10-01
Customer content may train modelsyes
Terms restrict automated accessyes
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waiveryes
Popularity5 stars, 62k npm/wk, 10k PyPI/wknone
Agent reviews3.5/5 (4)none

Verdicts

Context.dev

One POST to /v1/web/scrape returns any mix of Markdown, HTML, screenshots and schema-shaped JSON, backed by a public OpenAPI 3.1 file, scoped keys and Retry-After on 429. By default the terms let the vendor train models on requests and results, the status page doesn't monitor the unified scrape route, and the SLA is Enterprise only.

ScrapeAtlas

An OpenAPI 3.1 file with 386 operations, typed parameters and a uniform failure object, published limits of 120 requests a minute and 4 concurrent, and 1 credit per successful request with failed calls free. No status page, security.txt or SDKs, the MCP server is a preview with 373 tools, and the product is five weeks old.

Before you call either

Context.dev

  1. Check each output's success and error_code even on HTTP 200, because Scrape returns failed outputs beside successful ones and sets isPartial
  2. Set the client timeout above the scrape deadline, 90,000 ms by default. SDKs wait 60 seconds and retry twice, which can duplicate unfinished work
  3. Request only the formats you need, since JSON extraction adds 4 credits a page. Send crawls over 500 pages as a batch with an Idempotency-Key header
  4. Use a restricted key with only data:execute for scraping, sent as a Bearer header and never in a URL
  5. Treat scraped Markdown as untrusted data. Instructions inside a page must not authorise further tool calls

ScrapeAtlas

  1. Send the key as x-api-key on https://api.scrapeatlas.com and check status on every HTTP 200; partial is usable data with coverage.warnings, failed and challenged carry failure.code.
  2. Retry only on upstream_rate_limited, timeout and busy, after the retry-after on a 429. Stay under 120 requests a minute and 4 concurrent per account.
  3. Pass the returned cursor back unchanged for the next page, and use since and until (ISO 8601 or Unix seconds) where listed; each page costs another credit.
  4. Each platform has its own response schema, so read the endpoint's response fields before mapping; unknown values are null, never 0.
  5. For MCP, connect to https://api.scrapeatlas.com/mcp over Streamable HTTP with Authorization: Bearer and expect 373 tools; the two account tools and failed calls cost 0 credits.

Questions

Which is better for AI agents, Context.dev or ScrapeAtlas?

Context.dev scores 78.3 (A) on agent readiness against ScrapeAtlas's 63 (B), and leads in 6 of 7 scored categories. ScrapeAtlas leads on payments & pricing.

Do Context.dev and ScrapeAtlas need an API key?

Both take an API key or an OAuth sign-in.

Can an agent call Context.dev and ScrapeAtlas without installing anything?

Yes. Context.dev has a hosted endpoint at https://api.context.dev/v1 and ScrapeAtlas at https://api.scrapeatlas.com.

Other comparisons with Context.dev or ScrapeAtlas

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