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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.
UpscaleIMG is an AI-powered image upscaler that increases photo resolution up to 4x without losing quality. Unlike traditional resizing tools that simply stretch pixels, UpscaleIMG uses a deep learning model trained on real photographs โ it generates new detail, keeping edges crisp, textures natural, and faces recognizable.
The tool is designed for speed and simplicity: upload an image, choose your output format and dimensions, and get a high-resolution result in seconds. No Photoshop skills required, no manual sharpening layers โ just upload and download.
SocialFetch.dev
UpscaleIMG.appSocialFetch.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.
UpscaleIMG.app's answer:
UpscaleIMG doesn't just resize โ it generates new pixel detail using a deep learning model trained on real photographs. The result is sharper edges, natural textures, and recognizable faces even at 4x. Combined with built-in privacy (no image storage), a REST API, and a native n8n node, it's one of the few upscalers built with both end users and developers in mind.
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.
UpscaleIMG.app's answer:
Most upscalers either produce over-smoothed, mushy results or require expensive desktop software. UpscaleIMG delivers professional-quality upscaling in seconds, directly in the browser, with no account needed to get started. For developers and automation users, the API and n8n integration make it easy to embed upscaling into any workflow โ something most competitors don't offer out of the box.
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.
UpscaleIMG.app's answer:
Three main groups: photographers and designers who need quick, high-quality upscaling without Photoshop; e-commerce sellers who need sharper product images at scale; and developers or automation builders who want to integrate image upscaling into their pipelines via API or n8n.
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.
UpscaleIMG.app's answer:
UpscaleIMG was built by an independent developer who needed a fast, privacy-respecting upscaler that could also be used programmatically. Existing tools were either too expensive, stored user images on their servers, or lacked any API. UpscaleIMG was designed to fill that gap โ simple for casual users, powerful enough for developers.
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.
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