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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.
Moom
SocialFetch.devMoom is recommended for Mac users who often work with multiple windows and need a better way to organize their desktop space. It's ideal for professionals, productivity enthusiasts, and anyone who values streamlined workflows when managing numerous applications simultaneously.
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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, Moom seems to be more popular. It has been mentiond 67 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 may actually be seeing the moment where Moom[1] is no longer an essential OS X app. It can solve both window tiling and the "maximize problem" on mac and has been my first install for many years. Here's to hoping that Apple can get one basic OS feature right once. [1] https://manytricks.com/moom/. - Source: Hacker News / almost 2 years ago
Moomโฝยนโพ offers the ability to save and restore window layouts, including triggering saved layouts on addition or removal of displays. โฝยนโพhttps://manytricks.com/moom/. - Source: Hacker News / almost 2 years ago
Most of the time, I donโt. It sounds silly but macOS window management works best when you donโt micromanage and just let windows pile up at whichever size fits their content, kind of like papers on a desk. Instead I group windows by virtual desktop (space) on two monitors, switching out virtual desktops to mix and match sets of windows. Individual windows are rarely moved or resized. On the odd occasion I need... - Source: Hacker News / over 2 years ago
I similarly find something like Yabai a bit too heavy-handed for my needs, and instead prefer Moom[0]. I find that only need tiling occasionally, and for that Moom excels since it doesnโt add any new key shortcuts to memorize and is only ever visibly present when hovering your cursor over a windowโs green button. Its Aero Snap equivalent is optional and turned off by default too, which is great for me (I trigger... - Source: Hacker News / over 2 years ago
I ended up using Moom [1] to work around some of the oddities of macOS window management. It's relatively low-feature, mostly for window arrangements and sizing. I use it on a vertical monitor to split window placement horizontally, since macOS can only natively do vertical splits. It has other features too (like saving layouts and keyboard shortcuts), but I don't use them that much. 1. https://manytricks.com/moom/. - Source: Hacker News / about 3 years ago
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