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Crawlbase

Crawlbase

B

Crawlbase offers good programmatic access via REST API, SDKs, and MCP server with API-key auth suitable for autonomous agent use, but the absence of an OpenAPI spec and structured discovery mechanisms limits seamless agent integration. Token efficiency is moderate due to inherent web-scraping payload sizes, and the service lacks sandbox/test modes and real-time reactivity features.

6.32
/ 10

Scores

CriterionWeightScoreValue
Token Efficiency

Web scraping APIs typically return full HTML/content payloads; no evidence of field selection, structured response compression, or pagination hints in the available data.

20%
6.0
Programmatic Access

Strong access coverage with REST API, official SDKs in Node.js and Python, an MCP server (@crawlbase/mcp), and Pipedream integration, though no OpenAPI spec or GraphQL option.

18%
8.0
Autonomous Auth

API key-based authentication enables autonomous agent access without human-in-the-loop, and the homepage mentions agents explicitly, indicating design consideration for programmatic use.

16%
8.0
Speed & Throughput

Web scraping inherently involves network latency to target sites; no data on rate limits, concurrent request support, or conditional request mechanisms like ETags.

12%
5.0
Discoverability

Developer documentation exists and agents are mentioned on the homepage, but no OpenAPI spec, llms.txt, or agents.json file to aid agent discovery and integration.

12%
6.0
Reliability

No evidence of idempotency keys, API versioning strategy, or published status page; SDK presence (v1.0.2, v1.0.0) suggests some stability, but limited transparency.

10%
6.0
Safety

API key scoping appears available, but no evidence of sandbox/test mode, dry-run capability, or rate-limit safeguards specific to agents; robots.txt blocking suggests compliance considerations.

8%
5.0
Reactivity

Web scraping is fundamentally a polling-based activity with no indication of webhook, streaming, or SSE support for real-time data delivery.

4%
2.0

Biggest friction

Lack of an OpenAPI specification and agent-discovery files (llms.txt, agents.json) means agents cannot auto-discover the API schema, requiring manual integration setup.

How to improve

  • 2/10
    Reactivity · Add webhook support, consider streaming endpoints, improve polling efficiency
  • 5/10
    Speed & Throughput · Improve rate limits, add rate limit headers, support conditional requests (ETags)
  • 5/10
    Safety · Add sandbox/test mode, support dry-run operations, enable scoped access tokens

Access methods

REST APINode (crawlbase)Python (crawlbase)

Authentication

Methodsunknown
Scoped permissionsNo
Human requiredYes

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AgentGrade: B
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Agent formats

Last scanned: 3/12/2026 · Scanner v1 · 62 views