ScrapingBee vs WebScraping.AI

ScrapingBee 75

status.scrapingbee.com, now on incident.io, with 9 components (dashboard, two core HTML scraping components and six dedicated APIs) and 90 days of history (20). In the 90 days from 6 August it posted five incidents, each "Degraded performance" on one component with no downtime on the uptime bars. Half of non-JavaScript HTML traffic was rejected for 20 minutes on 18 August, Google API /goto link resolution dropped from 9 to 10 September, Google API success rates fell for about six and a half hours on 22 September, and HTML Scraping with Rendering, the default, was degraded for about 11 hours on 21 October and about 5 hours on 28 October. Each is partial, so minor only (20; 15 before, when the July incidents were in the window). Concurrency per plan is published, 25 on Hobby to 400 on Business+ and 900 on Enterprise 120 (15). 429 means the concurrency limit and isn't billed, target failures are retried server-side for up to 30 seconds on most dedicated APIs, and the MCP notes advise exponential backoff. No Retry-After or safe-write guidance found (10). No SLA found (0). Generally available (10). 20 + 20 + 15 + 10 + 0 + 10 = 75.

WebScraping.AI 43

Graded on the hosted lines. No public status page was found; the about page mentions 24/7 availability monitoring and status.webscraping.ai did not answer (0). No readable incident history (5). Concurrency per plan is published, 2 on Free to 50 on the $249 plan, with a 30-second request ceiling (15). 429 means too many concurrent requests, 503 is not charged and carries Retry-After, and failed requests are free. No backoff guidance for 429 itself (13 of 15). No SLA; section 14.2 of the terms makes no uptime commitment (0). Generally available since 2019 (10). 0 + 5 + 15 + 13 + 0 + 10 = 43.

ScrapingBee 60

No OpenAPI spec found. Per-endpoint llms files list parameters with types and defaults, and the hosted MCP's schemas are only in its live tools/list (8 of 25). llms.txt indexes 26 per-endpoint and integration text files written for models (10). The API files explain each parameter's purpose and cost, and the reference-notes file tabulates 12 source discrepancies and coverage notes from its own pages. MCP tool descriptions aren't published beyond a tool table (10 of 20). Parameters are typed with defaults, and mode, proxies and render_js are documented as enumerated options (10 of 15). Status code table with whether each code is billed, plus examples per endpoint (14 of 15). The SDKs and CLI keep dated CHANGELOGs. The API has no changelog (8 of 15). 8 + 10 + 10 + 10 + 14 + 8 = 60.

WebScraping.AI 89

OpenAPI file (version 3.2.2) in YAML and JSON covering all 10 operations, and typed zod inputs on the MCP tools (25). llms.txt, llms-full.txt and a Markdown copy of every page (10). Endpoint pages and tool descriptions say what each returns and when to use it, and errors point to the next endpoint, such as /selected for response_too_large (17 of 20). Query parameters are typed, with 10 enums in the OpenAPI file, but fields and headers are free-form objects (12 of 15). Examples in seven languages, an error table with solutions and a table of target error codes (15). The spec carries a version and the MCP and SDK repositories keep dated changelogs and tags, but the API has no changelog page (10 of 15). 25 + 10 + 17 + 12 + 15 + 10 = 89.

ScrapingBee 68

18 MCP tools (15 of 25). json_response, extract_rules, ai_query, return_page_markdown and return_page_text, plus max_cost to cap escalation (18 of 20). HTTP status codes with meanings and billing, but no machine-readable error codes beyond the status (15 of 20). Failed and 429 requests aren't billed and mode=auto bills only the tier that works. No tool annotations found (8 of 20). Only url is required, but render_js defaults on at 5 credits. Official Python and Node SDKs plus a CLI (12 of 15).

WebScraping.AI 95

Ten MCP tools (25). Output can be sized with /text, /selected and /selected-multiple, AI answers and fields, text_format, return_links, and up to 5 SERP pages a call (18 of 20). Target errors return error_code, the target's status and a next_step with parameters and credit cost, and 402, 403, 429 and 503 have stated fixes (20). Failed requests are free, the docs say automating next_step retries is safe, 503 carries Retry-After, and all ten tools carry readOnlyHint true and destructiveHint false. No idempotency key, though every call is a read (18 of 20). Only url is required, but JavaScript is on by default at 5 credits. Official SDKs in seven languages and a CLI (14 of 15). 25 + 18 + 20 + 18 + 14 = 95.

ScrapingBee 65

Closed service with terms naming VostokInc SAS, Paris, registration 843 352 683 (15 of 30). The privacy policy, effective 15 July 2024, keeps prospect and customer data up to 3 years and links a DPA. It doesn't mention the Oxylabs group or say whether scraped content is stored (18 of 30). The Node SDK changelog dates removals, for example youtubeTranscript() dropped in v2.0.0 on 2026-09-01, and the api_key query parameter is marked deprecated. No standing deprecation policy (10 of 20). Processors described by category, located in the US or EU. No named list (8 of 20).

WebScraping.AI 51

Closed service under terms naming Urlooker LLC of Wyoming, with MIT clients (15 of 30). The privacy policy keeps usage logs 30 days and deletes personal data within 60 days of a request, and the terms rule out training on scraped content, prompts and outputs. But section 9.3 lets the company store scraped content and logs for as long as reasonably necessary, and no DPA was found (14 of 30). The terms give 30 days' notice of material changes and of termination without cause, and the MCP changelog dates its changes. No deprecation policy (8 of 20). Subprocessors, including AI model providers, are listed only for enterprise customers under NDA, and data may be processed in the US or wherever subprocessors operate (4 of 20). 15 + 14 + 8 + 4 = 41.

ScrapingBee 75

CLI v1.6.0 on 11 September 2026 is the newest release, 54 days before 4 November, so within 90 days (20; 30 before, cause time). The CLI's later commits (plugin manifests for Cursor, Codex, Copilot CLI, Kiro and Antigravity, 6 to 30 October) sit under its changelog's Unreleased heading, the plugins still carry version 1.6.0, and the mcp-server repository holds only a README. In the 90 days from 6 August, Python SDK v2.1.1 (6 August, a documentation release) and v2.2.0 and Node SDK v2.0.0 (1 September) at half as SDK tags, CLI v1.6.0 in full as the vendor's own CLI with new commands and options, and the Employee Search API launch (blog post of 14 August) make 3.5 (20). We couldn't read GitHub issues. Dated SDK changelogs and email support (10 of 25). Current official Python and Node SDKs and a CLI. The MCP isn't in the official registry (15). Test workflows run in CI on all three repositories (10). 20 + 20 + 10 + 15 + 10 = 75.

WebScraping.AI 82

Read for a closed service with open clients. MCP server 1.4.0 on 26 October 2026 and Python SDK 4.3.0 on 24 October (30). In the 90 days from 8 August, MCP 1.2.1, 1.2.2, 1.3.0, 1.3.1, 1.3.2 and 1.4.0 and Python 4.1.0, 4.2.0 and 4.3.0 (20). Dated changelogs in the repositories and email support. GitHub issues weren't read (10 of 25). In the official MCP registry as io.github.webscraping-ai/webscraping-ai, though the newest entry there is 1.0.7 of 24 July 2026, with current SDKs in seven languages (12 of 15). CI workflows on the MCP and Python repositories, and 1.3.1 moved to zod 4 for a published advisory (10). 30 + 20 + 10 + 12 + 10 = 82.