Snipd
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Audioread (formerly Audiblogs)
SocialFetch.dev
API Direct
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Social Fetch is the social media data API for teams that need to ship features, not maintain scrapers.
Every major platform changes its DOM, blocks proxies, and breaks homegrown integrations. Social Fetch handles that infrastructure โ headless browsers, rate limits, normalization โ so you get clean, live JSON back on every request. No stale cache. No per-platform parsers in your codebase.
What you can fetch: profiles and follower data, posts and reels, comments and threads, video transcripts, hashtag/keyword search, ad library intelligence, and engagement metrics โ across TikTok, Instagram, YouTube, X, LinkedIn, Facebook, Reddit, Threads, GitHub, Spotify, and more.
Built for: creator tools, marketing analytics, brand safety and impersonation detection, competitive intelligence, enrichment pipelines, monitoring dashboards, and AI agent workflows. Integrate with cURL, Python, Node, our official TypeScript SDK, or our MCP server for Cursor and Claude.
Pricing: pay-as-you-go credits that never expire. No monthly subscription. Start with 100 free credits โ no credit card required.
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SocialFetch.dev's answer:
Social Fetch provides a unified REST API that lets developers collect public data from 20+ social platforms โ TikTok, Instagram, YouTube, X, LinkedIn, Reddit, Facebook, Threads, and more โ using a single consistent JSON schema. There is no need to learn or maintain separate APIs for each network. Credits never expire, and you only pay for what you use, making it ideal for both prototyping and production-scale data pipelines.
SocialFetch.dev's answer:
Unlike solutions that require you to set up and maintain separate API integrations for each platform, Social Fetch gives you one API key and one consistent schema across all supported networks. You get the same response structure whether you are fetching TikTok videos, Instagram posts, or YouTube channels. The pay-as-you-go model means no wasted monthly spend on idle subscriptions, and credits never expire so there is no pressure to use them up.
SocialFetch.dev's answer:
Social Fetch is primarily used by developers, data engineers, and growth marketers who need programmatic access to social media data without building and maintaining individual platform integrations. Common use cases include social analytics tools, influencer research platforms, content aggregation pipelines, brand monitoring dashboards, and AI training datasets that require large-scale social content.
SocialFetch.dev's answer:
Social Fetch was founded by Luke Askew, a developer who repeatedly ran into the same problem while building social analytics tools: every platform had a different API, different authentication flows, different rate limits, and different response shapes. Building and maintaining integrations for even a handful of platforms was a significant ongoing burden. Social Fetch was created to solve this by acting as a single abstraction layer, so developers can focus on what they are building rather than on the plumbing beneath it.
SocialFetch.dev's answer:
Social Fetch is built on Next.js and TypeScript, deployed on Vercel. The API layer is serverless and runs on edge infrastructure for low latency globally. Data is processed and stored using cloud-native services, and the platform uses tRPC for type-safe internal APIs. The codebase is a TypeScript monorepo, enabling shared types between the API, frontend, and internal tooling.
SocialFetch.dev's answer:
Social Fetch is currently used by early-stage startups, independent developers, and small analytics teams. As a newer product launched in 2024, we are still growing our customer base. If you are interested in using Social Fetch or would like to be featured here, please reach out at hello@socialfetch.dev.
Based on our record, Snipd seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We are currently exploring the idea of building an integration from Snipd (AI podcast player that transcribes episodes & allows you to capture/bookmark moments in a podcast) to Evernote. Source: almost 4 years ago
I've already requested that the Snipd team add highlighting and notetaking on audiobooks to their roadmap. Any chance Audible and Snipd will team up? Source: almost 4 years ago
We are building Snipd, a podcast player which recommends you the best moments in podcast episodes and lets you save any moment you would like to remember by tapping your headphones. Source: almost 4 years ago
You can listen to them here: "What is the meaning of life?" A Lex Fridman Podcast Collection created with the Snipd podcast highlighter app. Source: about 4 years ago
With the Snipd app, you can listen, highlight and take notes on podcast learnings. Snipd will sync your bookmarked moments (snips) directly to Readwise or Notion, or export to your notetaking app of choice. Source: about 4 years ago
Podwise - With Podwise, you can learn from structured knowledge and selectively listen to chapters that pique your interest. This feature enables you to optimize your learning experience and focus on the content that matters most to you.
API Direct - A pay-as-you-go social media API. Search real-time data across multiple social platforms through one standardized API. No monthly fees or commitments โ just pay per request.
Poddy - Social Podcasting App
Apify Python SDK - Build and manage web scraping Actors in the cloud.
AIPodNav - The ultimate AI-powered podcast app: Effortlessly find topics, selectively listen to parts that interest you, and learn at your own pace.
Simple Scraper - Extract data from any website in seconds โ download instantly, scrape in the cloud, or create an API.