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SocialCrawl

Paid
★ 36 • Updated Sep 7, 2026, 09:13 AM

SocialCrawl is a commercial social media data API designed to provide access to public data from 64 different platforms through one unified interface.

Use Cases ▼
01

Scrape TikTok profiles, videos, and engagement metrics at scale

02

Monitor Instagram influencers and audience engagement

03

Analyze YouTube channel performance and video statistics

04

Collect Reddit discussions and public sentiment for research

05

Track product listings and reviews from e-commerce platforms

06

Aggregate social media data into AI/ML training pipelines

07

Build market research and brand monitoring dashboards

08

Enrich CRM or analytics tools with social media profile data

What Problem It Solves ▼

SocialCrawl solves the complexity of collecting and normalizing data from dozens of social media and e-commerce platforms. Instead of building separate scrapers or integrating with many different APIs, developers can use one API with a unified schema and a single token to retrieve profiles, posts, videos, engagement metrics, and other public data across 64 supported sources.

Key Features ▼
✓

Covers 64 platforms through a single API

✓

Unified schema simplifies parsing and integration

✓

557 endpoints provide broad data access

✓

No compute units or subscription commitment; credit-based pricing

✓

100 free starter credits with no credit card required

Overview

SocialCrawl is a commercial social media data API designed to provide access to public data from 64 different platforms through one unified interface. The API includes over 557 endpoints and uses a single authentication token with a consistent response schema, covering social networks, e-commerce platforms, forums, and link-in-bio services. Supported sources include TikTok, Instagram, YouTube, Reddit, X, LinkedIn, Threads, Pinterest, Facebook, GitHub, Snapchat, Twitch, Truth Social, Kick, Amazon, Polymarket, Tavily, Hacker News, Perplexity, Google Search, Linktree, and many others.

Full Description ▼

SocialCrawl is described as MCP-ready and is marketed as a developer-friendly tool for AI agents and data pipelines. It includes an AI assistant that helps users explore endpoints, understand pricing, and generate copy-paste integration examples in Python, TypeScript, or cURL. The company also highlights a feature called Prism that consolidates multiple related API calls into a single request.

Pricing is based on a credit system rather than compute units or subscriptions, and new users receive 100 free credits without needing a credit card. The service is positioned as an alternative to building and maintaining custom scrapers or managing multiple platform-specific APIs.

Pros & Cons

Pros

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Covers 64 platforms through a single API

+

Unified schema simplifies parsing and integration

+

557 endpoints provide broad data access

+

No compute units or subscription commitment; credit-based pricing

+

100 free starter credits with no credit card required

Cons

−

Free tier is limited to 100 credits

−

Paid service with no self-hosted or open-source option

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Credit-based costs may increase with high-volume usage

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Full endpoint details and platform coverage may require reading documentation

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Scraping data may be subject to terms and rate limits of source platforms

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