Head to head · Extraction · October 2026 research run

Qovia vs Scrapingdog

Qovia scores 61.2 (C) on agent readiness against Scrapingdog's 39.3 (E), and leads in 5 of 7 scored categories. Scrapingdog leads on reliability and transparency & trust. Both do extraction.

Best web scraping and crawling APIs for AI agents · All 261 scrapers comparisons

Which one, for what

Qovia C

Best for Agents that need structured public data from Chinese platforms (Douyin, Xiaohongshu, Weibo, Bilibili, Kuaishou, Zhihu, WeChat official accounts, Taobao and JD reviews) or the Xingtu and Pugongying creator marketplaces, with TikTok, YouTube, Instagram, X and Reddit beside them, paid per successful call from a prepaid balance.

Ahead on

  • Schema & documentation, 86 against 43
  • Agent ergonomics, 77 against 44
  • Security & auth, 60 against 5
  • Payments & pricing, 55 against 40
  • Maintenance & community, 77 against 45

Watch for

No status page, incident history or SLA; the terms promise nothing about uptime and the Python client is the only retry guidance beyond Retry-After

Scrapingdog E

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 40
  • Transparency & trust, 56 against 30

Also in its favour

  • Runs on your own machine
  • Free to start without a card

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 Qovia +55

Qovia 60

API keys with scopes chosen at creation (every endpoint, search, every raw endpoint or one of 24 platform groups), an optional expiry, revocation in the console and hashed storage; the docs say the key is read from the Authorization or x-api-key header only, never the URL or a cookie, and 30 failed authentications from one IP in a minute are throttled. No OAuth and no rotation feature beyond creating another key (24 of 30). The whole surface is read-only retrieval, scopes restrict a key to platforms, the two MCP catalogue tools need no key, and the docs and SECURITY.md tell users to give AI tools a separate scoped key (17 of 20). Every response is third-party platform text, and the only related statement is that error messages never contain the data source's own text; nothing on treating returned content as untrusted (3 of 15). request_id is the usage record ID on every answer, the console lists every charge in a usage log, X-Qovia-Charged and X-Qovia-Balance headers report each call, and GET /v1/account returns the key's scopes and balance at no charge; no exportable audit log or per-call endpoint was found (11 of 15). No security.txt on qovia.ai or api.qovia.ai (404), no bug bounty, SOC 2 or ISO 27001; the repository's SECURITY.md names a Telegram handle and a mailbox for reports covering both hosts (5 of 20). 24+17+3+11+5 = 60.

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).

Schema & documentation Qovia +43

Qovia 86

An OpenAPI 3.1.0 file (version 0.1.0, 1 MB) is public at qovia.ai/openapi.json with 144 paths and 144 operations, two security schemes, typed query parameters, a response example on every operation and the error responses declared on each. The data payload itself is typed only as object, array or null with per-endpoint examples, and the MCP call_endpoint tool takes a free params object, so 22 of 25 (22). llms.txt (75 KB, one line per endpoint with price and status) and llms-full.txt (331 KB, the whole documentation as text) are served, and the quickstart's billing, limits and error sections are in both (10). Every operation has a summary and a description; most say what the data holds, how to page, which ids to pass, which fields are unavailable and what answers 404 or empty, and the MCP server's instructions say to find, read then call. Guidance on when not to use an endpoint is thin, mostly pointers such as replies coming from another endpoint (16 of 20). 321 parameters, 75 with enums, patterns on ids, min and max on strings and integers, 117 operations with one required parameter and 16 with none, the POST body typed with additionalProperties false, and unknown parameters rejected with 400 (14 of 15). A response example on all 144 operations, 20 error codes with every message variant listed, response headers documented per error, and cURL, Python, JavaScript and raw HTTP samples; the examples are catalogue samples the docs say are not live data (14 of 15). Paths are under /v1, a 410 endpoint_disabled code exists for retired endpoints, and the changelog is dated, but it has two days (21 and 22 October 2026), nothing is marked deprecated and no notice period is stated (10 of 15). 22+10+16+14+14+10 = 86.

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).

Agent ergonomics Qovia +33

Qovia 77

API reading. Responses come in fixed page sizes per endpoint, from about 5 comments on Xiaohongshu to 100 Fliggy reviews, with limit only on Bilibili danmaku and no field selection; the record shape is compact and shared across posts, notes and videos. The MCP server loads four tools by default, keeps the catalogue out of context until search_endpoints and get_endpoint are called, and ?tools= selects platforms or everything, which on the MCP reading would score 25 (18 of 25). Cursor pagination with has_more on most lists, search_id on Douyin and Zhihu search, page numbers on Weibo, Xiaohongshu and Bilibili, sort options on several, and the cross-platform search filters by platform, content type, sentiment and whole-day date windows up to 90 days (17 of 20). One error object with 20 codes, request_id on every answer, the retryable set marked, refunded codes separated from never-charged ones, and MCP tool errors carrying error.code, the HTTP status and retry_after_seconds (19 of 20). All calls are reads, failed and empty calls are refunded, Retry-After is declared and the Python client retries; no readOnlyHint or other annotation appears in the vendor's 28 October tools/list snapshot (14 of 20). One required parameter on 117 of 144 operations and defaults set on the server, but the only official SDK is the Python client; Node and curl are examples (9 of 15). 18+17+19+14+9 = 77.

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).

Maintenance & community Qovia +32

Qovia 77

The newest changes are the registry entry ai.qovia/qovia 0.1.1 and the repository's tools snapshot and plugin manifests on 28 October 2026, after the Python client 0.1.1 on PyPI on 27 October; the repository was pushed on 1 November (30). Eight changelog entries on 21 and 22 October, two registry versions (22 and 28 October) and two PyPI releases (25 and 27 October) are more than three dated entries in 90 days, all within ten days (20). Closed service with a public changelog. Support is Telegram, WhatsApp, WeChat and one mailbox, with a one-business-day reply promised for email; GitHub issues are enabled on the repository with none opened, and no forum, Discord or community was found (7 of 15). ai.qovia/qovia is in the official MCP registry under a DNS-verified reverse-DNS namespace at 0.1.1, marked latest, and the Python client is an official package on PyPI (15). The client is standard-library Python with a test file, MIT, no dependencies and no CI workflow in the repository tree; the account's other nine repositories are forks of lists and directories (5 of 10). 30+20+7+15+5 = 77.

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).

Transparency & trust Scrapingdog +26

Qovia 30

Closed service. The Terms of Service is one paragraph that names no legal entity, address or liability terms, says Delaware law governs and that the page is a summary with the signed agreement governing; the repository's client is MIT. Between the closed and unclear bands (7 of 30). The privacy policy is one paragraph. Account information is used to deliver and bill, personal information is not sold, requests and results are not resold, deletion requests go to the support mailbox, and the agreement governs where it differs. No retention periods, no subprocessors, no DPA, and no statement about the cache the prov.source flag implies; the SECURITY.md repeats the same points (8 of 30). A 410 endpoint_disabled code exists for retired endpoints and the changelog is dated, but there is no deprecation policy or notice period and nothing is marked deprecated (5 of 20). Stripe is named on the pricing page as the card and Alipay processor; no other provider, data location or transfer basis is stated (3 of 20). 7+8+5+3 = 23.

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).

Reliability Scrapingdog +22

Qovia 40

Hosted reading, for the REST API with the MCP server described. No public status page was found. https://qovia.ai/status/ answers 404, status.qovia.ai does not resolve and neither the docs nor the footer links one (0). No readable incident history, so 5 by the rubric (5). Limits are published with numbers on the quickstart's rate-limits section, 60 requests a minute per account before the first top-up and 600 after on a sliding 60-second window, with X-RateLimit-Limit and X-RateLimit-Remaining headers, a 64 KiB body cap, an empty-call throttle (50 calls in 10 minutes with over 80 per cent empty, not found or rejected) and a per-second cap per endpoint without a number (15). Retry-After is declared on too_many_auth_failures, rate_limited, too_many_unbilled, endpoint_busy and upstream_busy, the error table marks the retryable codes, the docs say a 503 endpoint_unavailable carries none and will not clear, and the Python client retries 429 and 503 honouring the header. Every operation is a read, including POST /v1/search, and a failed or timed-out call is refunded, so idempotency keys are not needed (15). No SLA. The terms summary says nothing about uptime and the pricing FAQ excludes outages, rate limits and platform changes from refunds; the 11 September 2026 archived home page advertised a 99.95 per cent enterprise SLA that the current pages have dropped (0). The endpoints are sold and labelled Live on the docs and coverage pages, but every one of the 143 carries x-qovia-status beta in the OpenAPI file, the API version is 0.1.0 and the MCP server reports 0.1.0 (5 of 10). 0+5+15+15+0+5 = 40.

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).

Score by category

CategoryWeight this runQoviaScrapingdogEdge
Reliability16%204062Scrapingdog +22
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28643Qovia +43
Agent ergonomics13%16.27744Qovia +33
Security & auth14%17.5605Qovia +55
Payments & pricing10%12.55540Qovia +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87745Qovia +32
Transparency & trust7%8.83056Scrapingdog +26
Negative events≤150-2
TotalC 61.2/100E 39.3/100

Facts side by side

FactQoviaScrapingdog
KindHTTP APIHTTP API
VendorQoviaScrapingdog (OpenData Labs)
Hosted endpointhttps://api.qovia.aihttps://api.scrapingdog.com/scrape
TransportsHTTP, Streamable HTTPHTTP, stdio
AuthAPI keyAPI key
PricingPay per useFreemium
x402nono
LicenceProprietary hosted service under a one-paragraph Terms of Service summary that defers to a signed agreement. The qovia/qovia-mcp repository (setup guide, examples, Python client) and the qovia package on PyPI are MIT; the service's source is not publicnone
Tools exposed14135
Read-only variant documentednono
llms.txtyesyes
MCP registryai.qovia/qoviaio.github.Darshan972/scrapingdog-mcp
Last release2026-10-282026-07-31
Terms last updatednot read yet2026-01-13
Privacy policy last updatednot read yet2025-07-17
Customer content may train modelsnot read yetnot found in the text
Terms restrict automated accessnot read yetnot found in the text
Terms restrict benchmarkingnot read yetnot found in the text
Terms or service can change without noticenot read yetyes
Arbitration or class-action waivernot read yetnot found in the text
Popularity0 stars0 stars, 41 npm/wk, 12 PyPI/wk
Agent reviewsnone3/5 (2)

How the scores have moved

Verdicts

Qovia

An OpenAPI 3.1 file with 144 operations, one envelope and 20 error codes, per-endpoint prices with failed and empty calls refunded, scoped keys and a four-tool MCP server that keeps the catalogue out of context. No status page, no legal entity, one-paragraph terms and privacy pages, and a product ten days old at the check.

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

Qovia

  1. Send Authorization: Bearer sk-qovia-... to https://api.qovia.ai and check meta.empty on every HTTP 200; data may be null or an empty structure and nothing is charged for it.
  2. Branch on error.code, never on message. Retry only rate_limited, too_many_unbilled, endpoint_busy, upstream_busy and too_many_auth_failures after Retry-After; endpoint_unavailable has none and will not clear.
  3. Stay under 60 requests a minute (600 after the first top-up) across every key on the account, and keep empty or not-found calls under 80 per cent of the last 10 minutes or expect 429 too_many_unbilled.
  4. Pass the previous page's cursor (and search_id on Douyin and Zhihu search) back unchanged and stop when has_more is false; each page is a separate charge, and unknown parameters answer 400.
  5. For MCP, connect to https://api.qovia.ai/mcp over Streamable HTTP; call search_endpoints then get_endpoint before call_endpoint, or add ?tools=douyin,kuaishou for typed direct tools. Catalogue tools need no key.

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

Questions

Which is better for AI agents, Qovia or Scrapingdog?

Qovia scores 61.2 (C) on agent readiness against Scrapingdog's 39.3 (E), and leads in 5 of 7 scored categories. Scrapingdog leads on reliability and transparency & trust.

Do Qovia and Scrapingdog need an API key?

Both need an API key.

Can an agent call Qovia and Scrapingdog without installing anything?

Yes. Qovia has a hosted endpoint at https://api.qovia.ai and Scrapingdog at https://api.scrapingdog.com/scrape.

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