Social Fetch API (Social Media Scraper)

Social Fetch API is a social media monitoring API and brand safety API built for teams that need live public evidence, not cached snapshots that miss renamed impersonator accounts. This social media scraper API lets you scrape social media profiles, post history, engagement metrics, and search results across TikTok, Instagram, YouTube, X, Facebook, LinkedIn, Reddit, and Threads through a single scraper API integration. The core value proposition is simple: you get structured JSON feeds that power rules engines and review queues, with fields like usernames, bios, follower counts, verification flags, media metadata, and comment threads. Every API call includes a requestId for audit trails, and explicit lookupStatus values clarify missing handles versus empty results. Social Fetch is designed for brand protection, scam detection, impersonation monitoring, and trust-and-safety automation. The platform eliminates the need for maintaining fragile per-platform scrapers, handling all the proxy rotation, rate limiting, and data parsing behind the scenes. With over 3.6 million lookups in the last 30 days and 3,200+ developers using the service, Social Fetch has proven itself as the go-to solution for teams running monitoring, research, and enrichment pipelines. The API operates on public data only, and you remain responsible for compliant use under your policies and applicable law. Social Fetch is built for investigators, not HTML archaeologists.

Live Data on Every Request

Every API call returns live, real-time data directly from the social media platform. Unlike other services that serve cached or stale data, Social Fetch ensures you always see the current state of profiles, posts, and engagement metrics. This is critical for detecting renamed impersonator accounts, tracking rapid changes in follower counts, and catching content that gets posted and deleted quickly. The live data guarantee means your monitoring pipelines never miss a beat.

17 Platforms Through One Integration

Social Fetch supports TikTok, Instagram, YouTube, X, Facebook, LinkedIn, Reddit, and Threads, plus seven additional platforms, all through a single API endpoint. You no longer need to maintain separate scrapers for each platform, each with its own authentication, rate limits, and parsing logic. One header, one API key, and you get structured data back from every major social network. This unified approach dramatically reduces engineering overhead and maintenance costs.

Explicit Lookup Status Values

The API returns clear lookupStatus fields that distinguish between missing handles, empty results, and successful lookups. This eliminates ambiguity in your data pipelines and rules engines. When a profile doesn't exist, you know it. When a handle has no posts, you know that too. This explicit status system prevents false negatives and ensures your trust-and-safety automation makes decisions based on accurate information, not guesswork.

Audit Trail with Request IDs

Every API call includes a unique requestId in the response, enabling full audit trails for compliance and investigation purposes. You can trace every data point back to the exact API request that produced it, which is essential for legal proceedings, internal reviews, and debugging production issues. The request IDs integrate seamlessly with your logging and monitoring systems, giving you complete visibility into your data sourcing.

Brand Protection and Impersonation Monitoring

Brand protection teams use Social Fetch to continuously monitor social media platforms for impersonator accounts, fake profiles, and unauthorized brand usage. The live data capability means you catch renamed accounts the moment they change their handle, not hours or days later when cached data finally refreshes. You can set up automated workflows that flag suspicious profiles based on follower counts, verification status, bio keywords, or profile image analysis, enabling rapid takedown requests.

Scam Detection and Fraud Prevention

Trust and safety teams integrate Social Fetch into their rules engines to detect and block scam accounts in real time. The API provides structured data on follower counts, following ratios, account age, and engagement metrics that help identify bot networks and fraudulent profiles. By feeding this data into automated review queues, teams can flag high-risk accounts before they interact with legitimate users, reducing the impact of phishing campaigns and financial fraud.

Competitive Intelligence and Market Research

Research teams use Social Fetch to gather public data on competitors, industry trends, and influencer audiences across multiple platforms. The API delivers consistent fields for profiles, posts, and engagement metrics, making it easy to build dashboards and reports that compare performance across brands and time periods. The live data ensures you always have the latest information on product launches, marketing campaigns, and audience growth.

Content Moderation and Compliance Automation

Platforms and content moderation teams leverage Social Fetch to automatically review public posts and comments for policy violations. The API returns comment threads, media metadata, and user profiles, enabling automated checks against community guidelines. The explicit lookup status values ensure that moderation pipelines handle edge cases correctly, and the request IDs provide a complete audit trail for appeals and compliance reporting.

What platforms does Social Fetch API support?

Social Fetch supports TikTok, Instagram, YouTube, X (formerly Twitter), Facebook, LinkedIn, Reddit, and Threads, plus seven additional platforms for a total of 17. The full list is available in the documentation, and the team regularly adds new platforms based on user demand. All platforms return consistent fields through the same API structure.

How does Social Fetch handle rate limits and scraping infrastructure?

Social Fetch manages all proxy rotation, rate limiting, and infrastructure behind the scenes. You never need to worry about IP bans, CAPTCHAs, or platform-specific rate limits. The API is designed for parallel social media scraping without rate caps, meaning you can burst requests as needed without negotiating with individual platforms.

Is the data returned by Social Fetch real-time or cached?

Every request to Social Fetch returns live, real-time data directly from the social media platform. There is no caching layer that could serve stale information. This is a core differentiator from other social media APIs that rely on cached snapshots, which can miss renamed accounts, deleted posts, or rapid changes in engagement metrics.

What is included in the 100 free credits?

The 100 free credits give you 100 API requests to test any endpoint across any supported platform. No credit card is required to start, and you can use the free credits to evaluate the data quality, response times, and integration complexity before committing to a paid plan. The free credits never expire, so you can take your time building and testing.

Social Fetch offers transparent per-request pricing starting at $1.65 per 1,000 requests at scale. You get 100 free credits to start with no credit card required. The platform uses pay-as-you-go billing with credits that never expire, so you never face spending-limit failures in production. There are no monthly commitments, no minimums, and no hidden fees. For high-volume needs, the team offers custom pricing and dedicated support. The pricing model is designed to scale from individual developers to enterprise teams running millions of requests per month.