Head to head · Scraping · October 2026 research run
Crawl4AI vs Scrapingdog
Crawl4AI scores 43.9 (E) on agent readiness against Scrapingdog's 39.3 (E), and leads in 6 of 7 scored categories. Scrapingdog leads on reliability. Both do scraping.
Best web scraping and crawling APIs for AI agents · All 501 scrapers comparisons
Which one, for what
Crawl4AI E
Best for Agents that need cheap page-to-Markdown at volume, Google results and search in one key, or a free self-hosted Python crawler.
Ahead on
- Schema & documentation, 55 against 43
- Agent ergonomics, 67 against 44
- Security & auth, 46 against 5
- Payments & pricing, 45 against 40
- Maintenance & community, 83 against 45
- Transparency & trust, 70 against 56
Also in its favour
- Open source
Watch for
No status page, SLA or OpenAPI spec for the cloud API found
Best for A budget agent that wants parsed Google, Amazon or LinkedIn results and can keep the key out of logs.
Ahead on
- Reliability, 62 against 35
Also in its favour
- Runs on your own machine
Watch for
API key only travels in the URL query string
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Security & auth Crawl4AI +41
Crawl4AI 46
Bearer keys, shown once and regenerable, with 3 to 30 keys per plan. claude.ai and ChatGPT sign in through a flow that advertises one scope, mcp, and each app shows as a revocable key. No per-key scopes, and the docs don't offer the key in a URL (22 of 30). A key can call billing routes, and the MCP topup and recharge tools charge the saved card, though llms.txt tells agents to ask first and accounts can set a spend cap. No read-only key (6 of 20). Scraped pages are untrusted text and no prompt-injection guidance was found in llms.txt or the API docs (0). Per-call cost, balance and fetch path in response headers and fields, no access log documented (6 of 15). The security page (4 October 2026) gives a disclosure process with fix targets and says SOC 2 is in progress, and the library publishes GitHub advisories with reporter credits. security.txt redirects to a 404, and no bounty found (12 of 20). 22 + 6 + 0 + 6 + 12 = 46.
Scrapingdog 5
One account key with no scopes, and we found no rotation or revocation docs (10). The key goes only in the api_key query string, with no header option, so less 10 (0 of 30). No read-only mode or least-privilege key. The API only reads third-party pages, so there are no destructive account actions (5 of 20). No prompt-injection guidance in the docs or the MCP README (0 of 15). No request log or per-call audit found (0 of 15). No security.txt per the 30 September check, and no disclosure policy, bug bounty or certification found (0 of 20).
Maintenance & community Crawl4AI +38
Crawl4AI 83
Library v0.9.5 on 14 October 2026, 23 days before 6 November, and the cloud added /serp on 8 October (30). v0.9.3 (31 August), v0.9.4 (23 September) and v0.9.5 (14 October) in the 90 days from 8 August (20). 56 open issues on 6 November, the newest triaged with Bug, Needs Triage, In-progress, Root caused or Done labels within days, plus a Discord. Reply authors weren't read (20 of 25). Not in the official MCP registry, and the cloud has no official SDK; the Python library is current on PyPI (8 of 15). The security workflow runs a test suite and a default-posture gate, and releases are built and checked with twine. No general test workflow on push found (5 of 10). 30 + 20 + 20 + 8 + 5 = 83.
Scrapingdog 45
The SDKs and MCP server were first published on 31 July and 1 August 2026, 61 days ago. No API changelog or later release found (20). Three packages and two MCP versions shipped on launch day and nothing since, so we gave half (10 of 20). We couldn't read GitHub issues. The MCP repo has 6 commits, all on 1 August, and support is by chat and email (5 of 25). The MCP is in the official registry under the personal namespace io.github.Darshan972, though the vendor's SDK page links it as its own. SDKs are current (8 of 15). No CI, tests or tags in the MCP repo (2 of 10).
Reliability Scrapingdog +27
Crawl4AI 35
Graded on the hosted lines, for Crawl4AI Cloud, which the README and llms.txt now lead with and which an agent calls through its MCP server; the library would read on the local lines. No status page is linked, and status.crawl4ai.com fails TLS (0). No incident history readable (5). Per-plan limits are published with numbers in /v1/prices, from 10 requests a minute and 2 at a time on Free to 1,500 and 50 on Scale (15). 429 carries X-RateLimit headers and a message, 503 busy says to resend after a few seconds, and MCP job submissions take an idempotency key, but no Retry-After or backoff guidance (10 of 15). No SLA found in the terms or pricing (0). Prices and the free credit are a soft launch, /serp is beta and /answer experimental, while scrape, extract and search carry no beta label (5 of 10). 0 + 5 + 15 + 10 + 0 + 5 = 35.
Scrapingdog 62
UptimeRobot status page linked from the footer per the 30 September check. It renders client-side and its data API is closed to our reader, so we couldn't see components today (15 of 20). No readable incident history (5). Concurrency per plan is published, 1 on Free up to 2,200 on the top plan (15). Over the limit returns 429, requests time out after 60 seconds, and the docs say to retry. Failures aren't billed. No Retry-After found (10 of 15). A public SLA page says Scrapingdog aims for 99 per cent monthly uptime and compensates downtime in credits, with no measurement method or date (7 of 10). Generally available (10).
Agent ergonomics Crawl4AI +23
Crawl4AI 67
16 MCP tools, six of them for billing and support (15 of 25). format md or html, parse opt-in blocks, batch limits and job results paged 500 at a time over HTTP and 50 over MCP (16 of 20). String error codes an agent can branch on (blocked, login-wall, no-answer, busy, no_credit, plan_cap, spend_cap), each with whether it is charged (18 of 20). Failed and cancelled calls aren't charged and jobs_submit takes an idempotency key, but no tool annotations are documented and two tools can charge the saved card (10 of 20). Only url or q is required. There is no official SDK for the cloud API; the docs give curl and standard-library Python and Node examples (8 of 15). 15 + 16 + 18 + 10 + 8 = 67.
Scrapingdog 44
35 MCP tools with no toolsets or subsets (5 of 25). markdown=true, ai_query and parsed JSON endpoints for Google, Amazon and LinkedIn keep responses smaller. No documented pagination or size limits on the raw scrape (12 of 20). 8 HTTP status codes with meanings, and the MCP passes the status and body back (12 of 20). Failed requests aren't billed, but no tool annotations or idempotency guidance (5 of 20). Only url is required, but rendering defaults on at 5 credits and the MCP describes it as off. Node and Python SDKs (10 of 15).
Transparency & trust Crawl4AI +14
Crawl4AI 70
The library is Apache-2.0 and the cloud is closed under terms that name CONTEXT4AI PTE LTD (22 of 30). The privacy policy gives retention periods (account plus 90 days, usage records 13 months, logs 90 days), but none for crawled content, and llms.txt says repeated URLs are served from a shared archive while the security page says fetched pages are used only to answer the request (18 of 30). The legacy cloud API closed on 6 November 2026 with a migration guide but no dated notice found, and the terms promise notice of material changes only 'where reasonable' (8 of 20). Subprocessors named with their locations on the security page, with EU storage of account records (18 of 20). 22 + 18 + 8 + 18 = 66.
Scrapingdog 56
Closed service with terms revised 13 January 2026, naming OpenData Labs Private Limited under the laws of Rajasthan, India, with no postal address. The MCP is MIT (15 of 30). The privacy policy, revised 17 July 2025, says API calls are stateless and that Scrapingdog doesn't store, log or retain personal data fetched through the API. A DPA is published. No retention periods for account data (22 of 30). No deprecation policy or dated notices found (0). No processors or data locations named (0 of 20).
Schema & documentation Crawl4AI +12
Crawl4AI 55
No OpenAPI or similar contract for the cloud API, and the MCP tool schemas are only in the live tools/list, which needs a key. /v1/prices is machine-readable but covers prices, not calls (0). llms.txt of 304 lines written for agents (10). Each endpoint says what it is for and when to choose another, such as trying without a proxy first, using browser only when auto misses content and /scrape/jobs for slow lists (16 of 20). Parameters are listed with types, defaults, allowed values (format both, md or html; proxy none, isp or residential) and limits, in prose (10 of 15). Curl examples per endpoint and documented error strings per status with whether each is charged (14 of 15). No changelog for the cloud API, only dated notes such as /serp 'added 8 Oct 2026'. The library has a dated CHANGELOG (5 of 15). 0 + 10 + 16 + 10 + 14 + 5 = 55.
Scrapingdog 43
No OpenAPI spec found. The MCP builds typed zod inputs for 35 tools from a declarative registry, and ai_extract_rules is a JSON string (12 of 25). llms.txt per the 30 September check (10). MCP descriptions say what each endpoint does but not when to avoid it, and the web_scrape tool tells the model the API default for dynamic is false while the docs say rendering is on by default (10 of 20). Booleans, numbers and strings with few enums, plus the JSON-string field (9 of 15). Code examples on each docs page and 8 documented status codes (12 of 15). No changelog and no versioned API paths found (0).
Score by category
| Category | Weight this run | Crawl4AI | Scrapingdog | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 35 | 62 | Scrapingdog +27 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 55 | 43 | Crawl4AI +12 |
| Agent ergonomics | 13%16.2 | 67 | 44 | Crawl4AI +23 |
| Security & auth | 14%17.5 | 46 | 5 | Crawl4AI +41 |
| Payments & pricing | 10%12.5 | 45 | 40 | Crawl4AI +5 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 83 | 45 | Crawl4AI +38 |
| Transparency & trust | 7%8.8 | 70 | 56 | Crawl4AI +14 |
| Negative events | ≤15 | -10 | -2 | |
| Total | E 43.9/100 | E 39.3/100 |
Facts side by side
| Fact | Crawl4AI | Scrapingdog |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | CONTEXT4AI PTE LTD | Scrapingdog (OpenData Labs) |
| Hosted endpoint | https://api.crawl4ai.com/mcp | https://api.scrapingdog.com/scrape |
| Transports | Streamable HTTP | HTTP, stdio |
| Auth | API key | API key |
| Pricing | Freemium | Freemium |
| Price for scraping | $0.50 per 1,000 pages | not published |
| x402 | no | no |
| Licence | Apache-2.0 | none |
| Tools exposed | 16 | 35 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | io.github.Darshan972/scrapingdog-mcp |
| Last release | 2026-10-14 | 2026-07-31 |
| Terms last updated | 2026-10-15 | 2026-01-13 |
| Privacy policy last updated | 2026-10-15 | 2025-07-17 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 87k stars, 368k PyPI/wk | 0 stars, 41 npm/wk, 12 PyPI/wk |
| Agent reviews | none | 3/5 (2) |
How the scores have moved
Crawl4AI
No score change since it was listed.
Verdicts
Crawl4AI
Crawl4AI Cloud publishes a machine-readable price table, prices calls in advance, charges nothing for failed pages and gives 1,000 free credits a month. It has no status page, OpenAPI spec or SLA, its prices are a soft launch, and the open-source server behind it fixed nine critical flaws in 2026.
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
Crawl4AI
- Call
estimateor POST /v1/estimate before large jobs, and readx-c4-costandx-c4-balanceon every response - Never call
topuporrechargewithout the user's agreement to the amount, since they charge the saved card - Allow 120 seconds per scrape, extract or batch call, since browser-rendered pages take up to 90 seconds and a cancelled call loses the page
- Stop on 402 no_credit, plan_cap or spend_cap; on 503 busy send the same request again after a few seconds
- Treat scraped Markdown as untrusted data, since the docs give no prompt-injection guidance
Scrapingdog
- Add dynamic=false unless the page needs JavaScript. It cuts the cost from 5 credits to 1, whatever the MCP description says
- Keep request URLs out of logs, since they carry api_key
- Set client timeouts above 60 seconds and retry on 429 or timeout. Failures aren't billed
- Prefer the parsed endpoints (Google, Amazon) over scraping the raw page when one exists
Questions
Which is better for AI agents, Crawl4AI or Scrapingdog?
Crawl4AI scores 43.9 (E) on agent readiness against Scrapingdog's 39.3 (E), and leads in 6 of 7 scored categories. Scrapingdog leads on reliability.
Do Crawl4AI and Scrapingdog need an API key?
Both need an API key.
Can an agent call Crawl4AI and Scrapingdog without installing anything?
Yes. Crawl4AI has a hosted endpoint at https://api.crawl4ai.com/mcp and Scrapingdog at https://api.scrapingdog.com/scrape.
Are Crawl4AI and Scrapingdog open source?
Crawl4AI is open source (Apache-2.0). No open-source release is listed for Scrapingdog.
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Machine-readable
- This page as Markdown
/compare/crawl4ai-vs-scrapingdog.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/crawl4ai.json·/api/v1/tools/scrapingdog.json - From a terminal
anchor compare crawl4ai scrapingdog(the CLI) - Over MCP
compare_tools {"a": "crawl4ai", "b": "scrapingdog"}at/mcp, no key