SocialFetch.dev
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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.
SocialFetch.devi3wm is recommended for advanced users, developers, and anyone who prefers a keyboard-centric interface. It is ideal for users who like to customize their environment extensively and are comfortable with configuring software via text files. New users with a willingness to learn may also find it rewarding.
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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, i3 seems to be more popular. It has been mentiond 92 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.
I've been using Omarchy as my main setup since June 26, 2025, the day DHH released the first version. Before that I had my own custom Opinionated Linux, mclovin-ARCHived: an Arch + i3wm installer set up exactly the way I liked. It was total control over the OS: me deciding what goes in, keeping every piece (i3wm, polybar, picom, kitty, dotfiles) up to date and making sure they all talked to each other for the... - Source: dev.to / 3 months ago
Then few years back, in 2015, I got shown i3wm and used it on my ubuntu-netinstall until 2020, then I switched to Budgie and my personal laptop has been using that ever since. - Source: dev.to / 7 months ago
I switched to the i3 tiling based window manager. Because it's a whole different environment and thinking, it was very different from what I was used to. The volume buttons were working on my keyboard, but I didn't get any visual feedback. Furthermore, the volume percentage could go down below zero and increase up to more than hundread percent. There were times when I was confused why the keys stopped working, but... - Source: dev.to / about 2 years ago
This is partially why I use tools like i3 (/ sway). I like the tool; it works extremely well for me; the design has stayed the same for 20 years; there's no profit motive to come along and fuck everything up. It just works. It is boring in the best way possible. Source: over 2 years ago
I use MacBook Pro (Retina, 15-inch, Mid-2014) with Manjaro as OS using i3 as a window manager. It isn't perfect, but I'm thrilled with it. I have been a Mac OS user for the last 15 years and wouldn't change what I have now for a Mac OS because I don't need more than what I'm using for development. Source: about 3 years ago
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