ScrapeAtlas

ScrapeAtlas is a social media data API built by the team behind GenViral. It turns public data from social networks, video platforms, forums, ad libraries, marketplaces, link-in-bio pages and event communities into structured JSON for apps, research tools and AI agents.

What It Is

ScrapeAtlas is a unified scraping API. You send a URL, handle, ID or search query, and it handles the platform-specific retrieval and returns JSON. The site lists 45 platform integrations and more than 340 endpoints, covering platforms such as Instagram, TikTok, X, YouTube, Reddit, LinkedIn, Pinterest, Amazon, Etsy, GitHub and the Meta and LinkedIn ad libraries.

How It Works

Requests go to the REST API at api.scrapeatlas.com and are authenticated with an x-api-key header. Responses include a status of success, partial, failed or challenged, plus coverage information, so applications can handle incomplete results explicitly. Endpoint pages show request examples in cURL, JavaScript, TypeScript, Python, Go and Java, and a browser playground lets users run requests before writing code.

Use Cases and Data Types

The documentation describes profiles, posts, comments, videos, transcripts, ad creatives, creator links and marketplace listings. Suggested uses include social listening, creator discovery, video and content research, competitive ad research and commerce research.

Agent and Terminal Access

An npm-installed CLI (@scrapeatlas/cli, requires Node.js 22+) lets users list endpoints and export JSON from the terminal. A hosted MCP server at api.scrapeatlas.com/mcp connects to ChatGPT or Claude through OAuth. llms.txt and an OpenAPI 3.1 specification are also published, and an n8n guide is included in the docs.