Web Data API — Extract Structured Data from Any Website

One API. Any website. Structured JSON back. Pre-built endpoints for LinkedIn, Instagram, Twitter, YouTube, Reddit, and more. AI-generated endpoints for any other URL.

Pre-built + AI-generated endpoints Self-healing extraction 7-day free trial, 1,000 credits Python, Node.js, Go SDKs GDPR-aware data handling

Why Web Data Extraction Is Still Broken

Every data source is its own integration project. LinkedIn requires its own auth pattern, Instagram has rate limiting quirks, Twitter's API pricing changed overnight, Reddit went paid. Building reliable access to even two platforms means maintaining two separate systems with different schemas, different error formats, and different breakage patterns.

Most engineering teams end up with a patchwork: a custom LinkedIn scraping script, an Apify actor for Instagram, a one-off Reddit parser. Each piece is owned by a different person, documented differently, and breaks independently when the platform changes its structure. The maintenance burden compounds with every source added.

The deeper problem is structural. Web data isn't designed to be machine-readable. Platforms change their markup to thwart extraction. Fields move, schemas shift, anti-bot defenses tighten. Code written against a page structure today is technical debt by next month. This is why teams looking for a reliable web scraping API keep cycling through tools — the problem isn't the scraper, it's the approach.

Turn Any Website into a JSON API

The Anysite web data API is a uniform HTTP interface to an extraction engine that maintains structured access to the web on your behalf. You call an endpoint, get back JSON. You don't manage sessions, don't parse HTML, don't handle DOM changes. That work happens in the infrastructure.

This is a different approach from traditional web scraping APIs. Instead of writing extraction logic yourself, you describe what data you want and the API returns structured JSON — whether that's a LinkedIn profile, an Instagram account, or any arbitrary URL you point it at.

Any URL, structured data back

Point the API at any webpage and the AI generates a structured endpoint on demand. LinkedIn, Instagram, Twitter, YouTube, Reddit are pre-built for convenience — the engine works on any website.

Single authentication

One header (access-token: YOUR_TOKEN) works across every platform and every URL.

Consistent response format

JSON with predictable field names, whether you're querying a pre-built LinkedIn endpoint or an AI-generated one for an arbitrary URL.

Self-healing extraction

When a website changes its structure, the extraction layer adapts automatically — your code doesn't change.

Unified credit system

The same credits work across LinkedIn, Instagram, Twitter, Reddit, and every other source.

No coding required for basic use

SDKs handle the HTTP details; the AI parser handles extraction logic for any URL you point it at.

Base URL: https://api.anysite.io — Full reference: docs.anysite.io

Pre-Built Social Media Data Extraction for Major Platforms

LinkedIn Scraping API

The deepest LinkedIn data extraction available through a single API. Profiles, companies, people search, job search, posts, email finder, employee lists, and company updates. Use cases include lead enrichment, recruitment pipelines, competitor intelligence, and market research. No LinkedIn API credentials required — authentication is handled by the infrastructure.

Platform Coverage What's Available
Instagram Full Profiles, posts, reels, comments, likes, followers, search
Twitter / X Full User profiles, tweets, followers, full-text search with date and engagement filters
YouTube Full Videos, channels, subtitles/transcripts, comments, search
Reddit Full Subreddit posts, comments, search, user history, thread data
Platform Coverage What's Available
SEC EDGAR Filings Company search, full filing documents (10-K, 10-Q, 8-K)
Y Combinator Full Company profiles, founder data, batch search
Google Search, Maps, News Web search, Maps business listings, News articles, DuckDuckGo results

The pre-built platforms above are convenience endpoints — optimized and fine-tuned for their specific data structures. But the core engine turns any website into structured JSON. Point the Web Parser or AI Parser at any URL and it returns data you can use immediately.

Capability What It Does
Web Parser Any webpage to structured JSON, sitemap extraction
AI Parsers AI-generated extraction for specific sites — GitHub, Amazon, Glassdoor, G2, Trustpilot, ProductHunt, Crunchbase, Pinterest, Hacker News, and any other URL

This is what separates a web data API from a traditional scraping tool. The platforms above are just pre-built configs — the AI engine handles anything you point it at. All endpoints return UTF-8 JSON with consistent field naming. Rate limiting headers are included in every response. Pagination follows a cursor-based pattern with 24-hour expiration.

Anysite vs. Other Web Data Extraction Tools

Feature Anysite Apify Bright Data Proxycurl
Unified API One API, one schema for all platforms Separate actors per source Proxy infrastructure, you write extractors LinkedIn only
AI-generated endpoints Any URL, on demand No No No
Self-healing extraction Automatic Depends on actor maintainer Manual Partial
LinkedIn depth Profiles, companies, search, jobs, email finder Via third-party actors Via proxy + your code Profiles and companies
Social media coverage LinkedIn, Instagram, Twitter, YouTube, Reddit Per-actor, varies Via proxy + your code LinkedIn only
Authentication Single API key Per-actor configuration Complex proxy setup Single API key
Pricing model Credit-based, from $49/mo Per-actor, usage-based Bandwidth + proxy fees Per-request, from $49/mo

How to Extract Data from Any Website

Getting structured data from any website takes one API call. Every request uses the same authentication pattern — no OAuth flows, no token refresh, no platform-specific setup.

curl -X POST "https://api.anysite.io/api/linkedin/user" \
  -H "access-token: YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://linkedin.com/in/username"}'

Python (requests)

import requests

headers = {"access-token": "YOUR_TOKEN", "Content-Type": "application/json"}
profile = requests.post("https://api.anysite.io/api/linkedin/user",
    headers=headers, json={"url": "https://linkedin.com/in/username"}).json()

print(profile["headline"])
print(profile["experience"])

CLI (recommended)

pip install anysite-cli
anysite api /api/linkedin/user user=username

Sample Response: LinkedIn Profile

{
  "id": "ABC123",
  "name": "Jane Smith",
  "headline": "VP of Engineering at Acme Corp",
  "location": "San Francisco, CA",
  "followers": 12400,
  "experience": [
    {
      "title": "VP of Engineering",
      "company": "Acme Corp",
      "start_date": "2022-03",
      "end_date": null,
      "description": "..."
    }
  ],
  "education": [...],
  "skills": ["Python", "Distributed Systems", "..."],
  "request_id": "req_abc123"
}

What People Actually Build with a Web Data API

Lead Enrichment at Scale

Domain → company LinkedIn URL → employee search → profile enrichment for target titles → email lookup. Each step is one API call. The result is a structured dataset with name, headline, experience timeline, and verified email — ready to import into a CRM or pass to an AI agent for personalized outreach drafts. The LinkedIn scraping API handles the data extraction; the sales team focuses on outreach instead of maintaining parsers.

Competitor Intelligence

Track what a competitor's company page posts, monitor their job listings for signals about roadmap investments, watch for employee movement. LinkedIn company posts, job search by company, and employee growth data are all available endpoints. Running this on a schedule gives a continuous signal feed without maintaining any extraction code.

AI Agent Data Layer

An autonomous agent that researches companies before a meeting needs structured data, not a web browser. The web data API provides the data access layer: LinkedIn profile lookup, company data, recent news via Google search, SEC filings for public companies. The agent makes HTTP calls with known schemas — this is the architectural difference between a reliable agent and a brittle one.

Social Media Data Extraction

An analyst studying market trends needs Reddit discussions, YouTube content, Instagram engagement data, and Twitter activity for a set of topics. With a single API key spanning all platforms, the pipeline is straightforward: parallel requests per platform, all returning consistent JSON, combined into a unified dataset.

Automated Web Data Collection

Product teams monitoring review sites, job boards, or competitor pricing use the AI parser to extract structured data from any URL on a schedule. Point the API at a Glassdoor page, a G2 listing, or a competitor's pricing page — the AI generates the extraction schema automatically. No selectors to write, no maintenance when the page structure changes.

Credit-Based, Plan-Scaled

All plans include REST API access, CLI access, n8n nodes, and the same self-healing infrastructure. The MCP Unlimited plan is separate and covers MCP access only.

Plan Price/mo Credits Rate Limit
Starter $49 15K 60 req/min
Growth $200 100K 90 req/min
Scale $300 190K 150 req/min
Pro $549 425K 200 req/min
Enterprise $1,199+ 1.2M+ 200 req/min

Starter comes with a 7-day free trial and 1,000 credits. No free tier is available (discontinued March 1, 2026). Pay-as-you-go credits are available at $2.90 per 1,000 credits with a $20 minimum. PAYG credits require an active subscription and roll over for 12 months.

What a Credit Gets You

Operation Credits Starter Plan Calls/mo
LinkedIn profile (basic) 1 15,000
LinkedIn profile (full, all fields) 9 1,666
Instagram profile 1 15,000
Reddit search page 1 15,000
Company employee list (100 results) 150 100

For high-volume workflows, the Growth and Scale plans bring per-credit cost down to $1.58–$2.00 per 1,000 requests.

Enterprise

Enterprise ($1,199+/mo) adds custom rate limits beyond 200 req/min and white-glove support. GDPR-aware data handling practices. Contact hello@anysite.io for compliance documentation and volume pricing.

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Four Ways to Access Web Data — One Extraction Engine

The REST API is one of four ways to access the same Anysite extraction engine. Choosing between them is an architectural decision, not a capability tradeoff.

Interface Best For Pricing
MCP ServerExplore data conversationally in Claude, Cursor, ChatGPT$30/mo unlimited
CLIProduction pipelines — YAML, batch, schedule, databaseCredit-based
REST APIDirect HTTP integration into applicationsCredit-based
n8nVisual workflow automation, no codeCredit-based