Social Fetch

Product Introduction

1. Definition: Social Fetch is a unified social media scraping API (Application Programming Interface) designed for developers and SaaS teams. It is a technical infrastructure product that programmatically extracts structured, normalized JSON data from public profiles, posts, comments, videos, and metrics across 13+ major social platforms including TikTok, Instagram, YouTube, X (Twitter), LinkedIn, Facebook, and Reddit.
2. Core Value Proposition: It exists to eliminate the maintenance burden and technical complexity of building and managing in-house web scrapers for social media data. Its primary value is providing a single, reliable API endpoint with a consistent data schema, allowing product teams to ship features faster without dealing with proxy rotation, DOM changes, anti-bot detection, or platform-specific parsing logic.

Main Features

1. Unified API for 13+ Platforms: A single REST API (api.socialfetch.dev/v1/) provides access to over 150 endpoints across TikTok, Instagram, YouTube, X, LinkedIn, Facebook, Reddit, Threads, Rumble, Telegram, Spotify, and GitHub. The technical implementation involves maintaining dedicated, live upstream scrapers for each platform, handling authentication, session management, and HTML parsing internally. The API returns data in a normalized JSON shape, meaning field names like followers, verified, and avatarUrl are consistent regardless of the source platform.
2. Pay-As-You-Go Credit System with No Expiry: The pricing model is based on consumable credits, not mandatory subscriptions. Users purchase credit packs (starting with 100 free credits) that are deducted per successful API call. A key technical and commercial advantage is that these pay-as-you-go (PAYG) credits never expire, allowing for burst usage patterns without monthly commitments. Subscription plans (Starter, Growth, Scale) offer monthly included credits at a lower effective rate.
3. Live Data Fetch with No Intermediate Cache: Unlike some data providers that serve cached or batched data, Social Fetch performs a fresh fetch from the target social platform on each API request. This ensures real-time data accuracy (e.g., current follower counts, latest posts) but results in a higher average response time (~3.2 seconds). The system is engineered for reliability, offering 99.8% uptime and not charging users for infrastructure failures (lookup_failed status).
4. Comprehensive Data Capabilities: The API is organized into four core capability families: Profiles & Accounts (bios, metrics, verification), Posts & Media (videos, captions, engagement, video transcripts), Search & Discovery (keyword and hashtag search with cursor pagination), and Engagement & Threads (full comment/reply trees). This structure provides depth for complex use cases like sentiment analysis or competitive monitoring.
5. Developer-First Integrations: Beyond standard REST calls, Social Fetch provides a native TypeScript SDK with full type safety, an MCP (Model Context Protocol) Server for AI agents in Cursor/Claude, and pre-built nodes for n8n and Apify. This multi-modal integration approach reduces implementation time from days to hours.

Problems Solved

1. Pain Point: The high maintenance cost and instability of DIY social media scrapers. Developers waste significant engineering resources constantly updating CSS selectors, managing proxy pools, and circumventing platform anti-bot measures whenever a social network changes its layout or API.
2. Target Audience: SaaS Developers & Product Teams building social media monitoring, influencer marketing, creator intelligence, or brand analytics tools. Data Scientists & Researchers needing clean, structured social data for analysis. Agencies & Marketers requiring automated reporting and client dashboards. AI/ML Engineers building agents that need real-time social context or video transcripts for RAG (Retrieval-Augmented Generation).
3. Use Cases: Influencer Vetting & Campaign Management: Hydrating creator profiles with standardized metrics from multiple platforms. Brand Monitoring & Crisis Detection: Setting up automated cron jobs to search for brand mentions and alert on spikes. AI Agent Tooling: Providing LLMs with structured, typed social data via MCP instead of unreliable web browsing. Content Repurposing & Analysis: Pulling video transcripts from YouTube/TikTok for summarization or content ideation. Competitive & Market Research: Scraping public Reddit discussions or Facebook group posts for product feedback and trends.

Unique Advantages

1. Differentiation vs. Alternatives: Compared to DIY scraping, it offers reliability and zero maintenance. Compared to general scraping APIs/Apify Actors, it provides social-native endpoints (e.g., /v1/instagram/profiles/{handle}) with immediate JSON responses, avoiding the job queue and dataset download workflow. Compared to data marketplace APIs, it is a first-party service with one key for all platforms, no per-route upsells, and a transparent credit system without mandatory subscriptions.
2. Key Innovation: The combination of a normalized JSON schema across all platforms and a credit system with no expiry. This reduces cognitive and technical load for developers (one parser for all data) and financial overhead for businesses (credits as a durable resource, not a perishable subscription). The explicit lookupStatus field (found, not_found, lookup_failed) in every response envelope provides clear error handling semantics.

Frequently Asked Questions (FAQ)

1. Is Social Fetch data real-time and accurate? Yes. Social Fetch performs a live fetch from the source platform on each API request, ensuring you receive the most current publicly available data (e.g., live follower counts, latest posts). There is no caching layer that serves stale or historical snapshots, which is why average response times are ~3.2 seconds.
2. Do Social Fetch credits expire or roll over? Pay-as-you-go (PAYG) credit packs never expire; you can buy them once and use them over years. Credits included with a monthly Starter, Growth, or Scale subscription reset each billing cycle and do not roll over. This hybrid model offers flexibility for both sporadic and steady-volume users.
3. What happens if a profile is not found or the scraper fails? The API response always includes a meta.lookupStatus field. A status of not_found (e.g., wrong username) is a completed lookup and costs credits. A status of lookup_failed or a 503 temporarily_unavailable error indicates an infrastructure issue on Social Fetch's side, and you are not charged credits for that request.
4. Are there rate limits on the Social Fetch API? There are no strict per-minute rate limits or RPS (requests per second) caps on paid API routes. Your limit is your available credit balance. For optimal reliability, they recommend staying under ~500 concurrent requests. Free tier endpoints like balance checks have limits.
5. Can I use Social Fetch for influencer scoring or audience valuation? Social Fetch is designed as the reliable data-fetching layer. It provides the clean, normalized public data (follower counts, engagement rates, post history, demographics). You would apply your own proprietary scoring, valuation, or fraud detection algorithms on top of this data within your application.