Alternatives to Social Fetch
Stop scraping social data manually and use Social Fetch to get profiles, posts, and metrics from 17 platforms with one reliable API.
20 alternatives found
Nevisible
Nevisible is an AI-sourced pipeline platform that makes suppliers readable to AI, uncovers AI-sourced buyers and tracks AI answers for manufacturers.
Angry Dance Filter
Upload one photo and get a 15-second angry dance video. Free watermarked preview, then optional one-time video packs.
LevCharity
Fundraising platform for nonprofits combining donations, campaigns, donor CRM, events, communications, and reporting.
Kovnerov
Personal site of Vlad Kovnerov: analytics dashboards, web development, Telegram bots and browser tools for sellers and subscription tracking.
BuildingNow Podcast
BuildingNow shares founder conversations and practical lessons on building products, finding customers, and growing a business.
Context Board
Context Board brings your numbers, docs, clients, content and day into one workspace that Claude and Codex can read and update.
XAutoDM
XAutoDM turns X (Twitter) DMs into booked calls: find leads, send personalized DMs, and auto follow-ups that stop on reply.
ChatterAPI
One API key and one credit balance for Reddit and X data. REST endpoints and a hosted MCP server, so your code and your agents call the same tools.
BacklinkBot
AI SEO agent that finds pages ranking for your keywords, pitches the people behind them from your inbox, and follows up. You approve every send.
HearBuyers
AI social listening agent: finds people on Reddit and X describing your problem, scores buying intent and drafts a reply you approve.
SaaSHunter
Compare social media scheduling, content creation and monetization tools with verified pricing and side-by-side comparisons.
Maeve Social
Plan, approve, publish, and analyze social content with an AI assistant and API, CLI, and MCP automation.
Leadeon
AI growth tool for X and LinkedIn: write posts in your voice, schedule at your best times, find leads on X and see what works.
Ecommerce Data API
Amazon research data APIs for developers, sellers and AI agents. Integrate product, keyword and market research through REST APIs and MCP.
SightRadar
Face recognition API, a drop-in replacement for AWS Rekognition. Index, search, compare and detect faces, billed per photo with no subscription.
Orlyn
Privacy-first, cookieless web analytics that ties your traffic and marketing channels to real Stripe revenue.
BillionVerify
BillionVerify is a professional email verification service built to solve one problem: bad email data costs businesses money.
About Social Fetch Alternatives
When developers first encounter Social Fetch, they discover a purpose-built social media scraper API that consolidates access to TikTok, Instagram, YouTube, X, LinkedIn, and over 20 additional platforms through a single REST interface and uniform JSON schema. It belongs to the Analytics & Data and Social Media API categories, designed to deliver structured public data like profiles, posts, comments, transcripts, and engagement metrics without relying on fragile HTML parsers or proxy farms. Users commonly begin searching for alternatives when their project requirements shift—perhaps they need broader platform coverage, more predictable pricing models, or features like hosted MCP server support for AI agent workflows. Others seek alternatives because marketplace scrapers change pricing overnight, impose sudden rate limits, or lack the normalized field names and cursor pagination that make integration scalable. When evaluating an alternative to Social Fetch, prioritize solutions that offer explicit lookupStatus outcomes, documented error codes, and credit-based billing without subscription lock-in. Look for an API that provides an OpenAPI specification, a TypeScript SDK, and quickstart guides to cut integration time from weeks to hours. The ideal alternative should maintain high uptime, support cursor pagination for large data sets, and deliver typed JSON responses for profiles, posts, comments, and transcripts. Most importantly, ensure the platform is purpose-built for social networks rather than a generic web scraping tool, as normalized field names and platform-specific reliability are critical for production-grade AI workflows and data pipelines.
FAQs about Social Fetch Alternatives
What is Social Fetch?
Social Fetch is a social media scraper API built for developers who need structured public data from platforms like TikTok, Instagram, YouTube, X, and LinkedIn, plus 15+ more networks. It provides a single REST API with uniform JSON schema, cursor pagination, and explicit lookupStatus outcomes, eliminating the need for fragile HTML parsers or proxy farms. The API supports scraping profiles, posts, comments, transcripts, and engagement metrics, and includes an OpenAPI spec, TypeScript SDK, and hosted MCP server for AI workflows.
Who is Social Fetch for?
Social Fetch is designed for developers and production teams who need reliable, structured social media data for analytics, AI agent workflows, or data pipelines. It is ideal for engineers building applications that require profiles, posts, comments, or transcripts from multiple social platforms without managing separate scrapers or proxies. The API also serves teams using AI coding assistants like Cursor and Claude, thanks to its hosted MCP server that delivers structured outputs from live social data.
Is Social Fetch free?
Social Fetch offers a free tier starting with 100 credits, allowing developers to test the API without immediate payment. After that, billing is credit-based at $2.65 per 1,000 requests, with no subscription lock-in—users only pay for what they consume. The service maintains a 99.8% measured uptime, making it a cost-effective choice for scaling from small experiments to production workloads.
What are the main features of Social Fetch?
Social Fetch provides a unified API for scraping social media profiles (bios, avatars, follower counts, verification), posts and reels (captions, media URLs, likes, comment counts), comments and threads, engagement metrics, video transcripts, and hashtag or keyword search results. It includes an OpenAPI specification, a TypeScript SDK, and quickstart guides to accelerate integration. For AI workflows, a hosted MCP server allows agents in Cursor and Claude to query live social data with structured outputs.