Scraper

Scraper

Your shortcut to web data

mholdb
@mholdb
Published on May 13, 2026
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Details

Follow on
X@MQuy90
Pricing
Freemium
Platforms
WebAPIMCPCLI

About Scraper

Scraper is a web data API. Send a URL, get structured JSON back. It covers 17+ platforms: Twitter/X, Reddit, TikTok, YouTube, Hacker News, Instagram, Threads, Facebook, LinkedIn, Indeed, Glassdoor, G2, Trustpilot, Tripadvisor, Yelp, Booking.com, and Google Maps. One request returns everything: the post, all comments, all replies, engagement metrics. No pagination. No follow-up requests. You don't manage proxies, browsers, or retries. That's all handled. You just send a URL. What people use it for Track brand mentions across Twitter and Reddit. Pull G2 ratings for competitors. Aggregate Trustpilot reviews. Grab YouTube comments. Scrape Indeed listings by role and location. Get full Hacker News threads for research. Works with AI assistants Scraper is available as an MCP server. Add it to Claude Code, Cursor, VS Code, or Windsurf and use all 20+ tools in natural language. No API key needed, OAuth handles auth. Pricing - Free plan: 10 requests/month, no credit card required. - Pro: $19/month (launch offer, normally $35) for 19,000 requests, 120 req/min, 5 concurrent. 1 credit = 1 request. Each request returns all data in one shot.

Product Insights

Scraper is a web data API and MCP server that converts URLs from over 17 platforms into structured JSON without requiring proxy management. It provides a credit-based system where a single request returns complete datasets including engagement metrics and nested comments.

  • Supports 17+ major platforms including LinkedIn, YouTube, and Google Maps.
  • Eliminates pagination by returning full threads and comments in a single request.
  • Integrated MCP server support for use within AI assistants like Claude and Cursor.
  • Managed infrastructure handles all proxies, browser automation, and retries automatically.

Ideal for: Developers, data scientists, and growth hackers who need to automate web scraping and data analysis across social media and job boards.

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