The Scrape.do alternative for social data
Looking for a Scrape.do alternative? SocialCrawl returns parsed social JSON across 42 platforms, not raw HTML. Scrape.do's edge is general anti-bot scraping of any site — pick based on what you're building.
Stop maintaining a parser per platform. 27 social platforms, 264 endpoints, one JSON shape with engagement_rate pre-computed, and npx socialcrawl-mcp for Claude Code & Cursor.
Facts last verified June 15, 2026
Searching 42 platforms in parallel
TikTok·
Instagram·
YouTube·
Facebook·
X·
LinkedIn·
Reddit·
Threads·
Pinterest·
Twitch·
Truth Social·
Snapchat·
Kick·
Bluesky·
Kwai·
Rumble·
Spotify·TikTok Shop·
Amazon Shop·
Google Shopping·
Trustpilot·
TripAdvisor·
Linktree·
Komi·
Pillar·
lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·
Polymarket·
Tavily·
Hacker News·
GitHub·
Perplexity·
Naver·UUtility·
Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchWhat is the difference between SocialCrawl and Scrape.do?
Scrape.do is a general rotating-proxy and anti-bot scraping API: it returns raw HTML you parse yourself across 110M+ IPs. SocialCrawl is purpose-built for social — 42 platforms behind one normalized schema with computed fields, so there is no per-platform parser to build or maintain.
Unified schema
One field name across 42 platforms. Write one parser, not 13.
MCP server
`npx socialcrawl-mcp` on the MCP Registry. Works in Claude Code, Cursor, Windsurf.
Visual Explorer
Paste any URL, see rich cards and export as code. No API key needed to browse.
How does SocialCrawl compare to Scrape.do, feature by feature?
Sixteen dimensions side by side. Scrape.do's tiers, response format, and Ready Scraper endpoints were verified 2026-06-15 from its own pages — and the rows where Scrape.do wins say so.
| Feature | SocialCrawl | Scrape.do |
|---|---|---|
| Platforms & coverage | ||
| Social platforms in one API | 27 social platforms across 42 total, 264 endpoints, one auth header (x-api-key) | General scraper — social is a use case you parse yourself; Ready Scraper JSON covers SERP/commerce, not social |
| General open-web scraping (any site) | No — social, commerce, and research only, by design | Yes — anti-bot bypass + proxy rotation over 110M+ IPs for any website (Scrape.do's core strength) |
| Cross-platform social search | GET /v1/search/everywhere — 12 platforms in one call, flat 20 credits, fused + reranked | No equivalent — fetch one URL at a time, parse and merge results yourself |
| Schema & data quality | ||
| Response format for social | Normalized JSON envelope — same field names across all platforms | Raw HTML you parse yourself (Ready Scraper JSON only for SERP/commerce sites) |
| Unified cross-platform schema | Enforced at the gateway — followerCount is one field everywhere | None — each social platform is a separate parsing problem you own |
| Computed fields (engagement_rate, estimated_reach, content_category) | On every response, documented in the OpenAPI spec | None — you compute them yourself from raw HTML |
| Parsers for a 6-platform social product | Zero — one normalized schema | Six — one CSS/XPath parser per platform, maintained on layout changes |
| Agent readiness | ||
| MCP server | Official socialcrawl-mcp — returns normalized, computed-field social objects | None — no MCP server, no agent-native data layer |
| Skills / CLI bundle | Skills bundle (npx skills add socialcrawl/skills) on skills.sh + ClawHub | None — REST + SDKs for general scraping, no social skills layer |
| Payload an agent reasons over | Typed social object — number ready to read | Raw HTML the agent must parse before it can reason |
| Pricing & billing | ||
| Billing model | Flat credits per endpoint, published in the docs (GBP) | USD monthly subscription priced per successful request (Free / $29 / $99 / $249 / $699) |
| Cost of one social request | Flat per-endpoint credit — parsing included | One credit per success — but parsing and maintenance are your cost on top |
| Cost forecasting | Flat per-endpoint credit costs — a lookup table | Low per-credit at scale, but true cost-per-record adds your parsing labor |
| Non-technical tooling | ||
| Visual data explorer | Paste a URL, see rich cards, export as code — no API key needed to browse | None — evaluate by writing a request and parsing the HTML |
| Trust & reputation | ||
| Anti-bot / proxy infrastructure | Handled behind the API automatically | Core strength — 110M+ IPs, WAF/anti-bot bypass, high reported success rates |
| Internationalization | ||
| Korean support | /ko/ fully supported + hreflang | No official Korean locale verified (2026-06) |
Platforms & coverage
Social platforms in one API
General open-web scraping (any site)
Cross-platform social search
Schema & data quality
Response format for social
Unified cross-platform schema
Computed fields (engagement_rate, estimated_reach, content_category)
Parsers for a 6-platform social product
Agent readiness
MCP server
Skills / CLI bundle
Payload an agent reasons over
Pricing & billing
Billing model
Cost of one social request
Cost forecasting
Non-technical tooling
Visual data explorer
Trust & reputation
Anti-bot / proxy infrastructure
Internationalization
Korean support
Why build a parser per platform when one schema covers them all?
Because Scrape.do's core returns raw HTML, not structured data. For an Instagram or TikTok profile you fetch the page through its proxy, then write and maintain a different CSS/XPath parser for every platform you add.
- SocialCrawl enforces the schema at the gateway: followerCount is the same field name on every platform, so one shape covers all 27.
- Scrape.do's anti-bot proxy core is genuinely strong, but parsing the HTML it returns is yours to design, version, and fix when a site changes.
- When a platform changes its markup, hand-written selectors break per platform; a normalized API absorbs that change behind one stable schema.
- If you scrape the whole open web, Scrape.do's proxy network is genuinely the right tool — SocialCrawl is social, commerce, and research only.
A six-platform social product collapses six parsers — and six failure modes — into one.
After Scrape.do's social-scraping page, what do you still have to build?
Scrape.do ranks for social terms via a programmatic 'social media data scraping' industry page, but that page points at the same general proxy API. You still wire up the scraper and own the parsing — SocialCrawl skips that and returns the parsed social object directly.
- Scrape.do's Ready Scraper JSON endpoints cover SERP and commerce sites (Google, Amazon, YouTube, Maps) — not a normalized social-media surface.
- Its programmatic 'X scraper' pages are a proven SEO strategy, and that breadth is a real strength — but a landing page is not a per-platform social endpoint.
- SocialCrawl returns profile, posts, and comments as normalized JSON, so the work that the industry page hands you simply isn't there.
- If you need to scrape arbitrary, non-social sites where no purpose-built API exists, Scrape.do's general infrastructure is the honest pick.
You start from parsed social data, not from a guide that ends where the work begins.
Which is better for an AI agent — raw HTML or normalized social objects?
For social data, normalized objects over raw HTML. Scrape.do ships no MCP server, so your agent gets raw HTML or ad-hoc JSON in its context window — poorly suited to dropping straight into an LLM reasoning loop.
- SocialCrawl responses arrive normalized with engagement_rate, estimated_reach, and content_category pre-calculated server-side — the agent reads the number, not the DOM.
- npx socialcrawl-mcp installs in seconds on the MCP Registry and works in Claude Code, Cursor, and Windsurf; Scrape.do has no MCP, Skills, or agent-native data layer.
- Raw HTML burns an agent's context window on markup it has to parse before it can reason; a typed social object hands it the answer directly.
- One flat 20-credit call to /v1/search/everywhere fans an agent across 12 platforms and returns fused, reranked results — no per-site scraping to orchestrate.
Your agent spends tokens on the answer, not on parsing raw HTML into a social object.
npx socialcrawl-mcpListed on MCP RegistryMCP Registry · npm · Smithery · skills.sh
npx scrape.do-mcpNot on MCP Registry, npm, or Smitherypersonal GitHub only · not registered
Can a non-technical teammate see the data before any code is written?
With SocialCrawl, yes — paste a social URL into the Explorer and see rich cards, sortable tables, and copy-as-code snippets, no API key needed to browse. Scrape.do has no visual Explorer; you evaluate by writing a request, then parsing the HTML it returns.
- PMs, analysts, and strategists answer 'can we actually get this data?' themselves, without booking engineering time.
- SocialCrawl gives every signup 100 free credits with no card, so you validate against real data immediately.
- Every Explorer query exports as a cURL, JavaScript, or Python snippet you can paste straight into a repo.
- Scrape.do's strength is reliably fetching the raw page — SocialCrawl lets a teammate preview the parsed result first.
See your data before writing a single line — usually enough to decide whether the API fits your product.
fetch("/v1/...")a strong general-purpose anti-bot scraper · verified 2026-06-15
What does Scrape.do do better than SocialCrawl today?
General-purpose anti-bot scraping and raw-page flexibility — both are genuine strengths. Scrape.do rotates across 110M+ residential, mobile, and datacenter IPs, renders headless JS, and reports very high success rates against tough anti-bot stacks; SocialCrawl is social, commerce, and research only.
- Its anti-bot and WAF-bypass stack is the core product, and its raw-HTML response means you can scrape literally any site — that flexibility is real and worth crediting.
- Transparent USD pricing — a free 1,000-credit tier with all features and a $29/mo entry plan, with cost-per-credit dropping at scale — makes general scraping easy to start.
- If your scraping spans e-commerce, real estate, jobs, leads, or arbitrary sites across the whole web, Scrape.do's proxy network is the right tool, not SocialCrawl.
How does Scrape.do's pricing compare to SocialCrawl at each tier?
Parsed social JSON billed flat per endpoint (SocialCrawl) versus raw HTML billed per successful request (Scrape.do). Scrape.do tiers verified 2026-06-15 from its own pricing page.
Parsed JSON, not raw HTML you maintain
0 parsers to build and own
Scrape.do: every successful request returns raw HTML you parse yourself — per its own docs, verified 2026-06-15
Honest asymmetry: Scrape.do's USD credit allowances are generous and it only charges on successful requests, but every successful request is still raw HTML you parse and maintain yourself. SocialCrawl's per-endpoint credits are flat and return parsed social objects — price your real social workload, parsing cost included, on both.
See full pricingWho is SocialCrawl built for?
Teams whose product is social-specific: indie developers who don't want to maintain parsers, agency CTOs unifying platforms into one dashboard, and AI agent builders who want normalized data instead of raw HTML in the context window.
Choose SocialCrawl if:
- Solo developers shipping a social-data featureOne schema across TikTok, Instagram, YouTube, and 24 more replaces a parser per platform — and a fix every time a site changes its markup.
- Agency CTOs unifying many platformsOne normalized response shape across 27 social platforms means one integration, not a hand-written parser per Scrape.do target.
- AI agent builders in Claude Code, Cursor, Windsurfnpx socialcrawl-mcp returns computed-field social objects your agent reasons over directly, instead of raw HTML it has to parse first.
- Teams that need cross-platform social searchOne call to /v1/search/everywhere fans out across 12 platforms and returns fused, reranked results — no per-site scraping to wire together.
- Mixed-skill buying committeesNon-technical teammates preview real data in the visual Explorer before engineering commits a sprint.
Choose Scrape.do if:
Scrape.do is the right call for three specific teams — and naming them plainly beats pretending there aren't any.
- You scrape the whole open web, not just socialIf you need anti-bot bypass and proxy rotation across any website — e-commerce, real estate, jobs, leads — Scrape.do's general core is built for exactly that.
- You want maximum raw-response flexibilityRaw HTML lets you scrape arbitrary sites with no purpose-built API; if you'd rather own the parsing for full control, Scrape.do delivers that.
- You're cost-sensitive and comfortable maintaining selectorsWith cost-per-credit dropping at scale and pay-on-success billing, Scrape.do is a low-cost path if you don't mind maintaining HTML selectors yourself.
Still evaluating? If you already scrape one or two social platforms with working parsers, switching may not pay off yet; bookmark this page for the day a third platform or an AI-agent project lands on your roadmap.
Frequently asked questions
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Ask AI about SocialCrawl
Looking for the best Scrape.do alternative for social media data?
Every SocialCrawl comparison follows the same honest format — verified pricing, a schema diff, and a straight answer on which team each tool fits.
Swap raw HTML for one parsed social schema
100 free credits, no card — enough to replace one Scrape.do parser with one endpoint and see the schema for yourself.