
ente
PhotoPrism.app
Google Photos
Immich
Piwigo.org
Nextcloud
Aves
Flickr
SocialFetch.dev
API Direct
Apify Python SDK
Simple Scraper
TranscriptAPI.com
SocialHunt.co
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.
I have always been worried abou the fact that my photos were not stored on the cloud privately. Meaning anyone with the access to the server could see my photos. I am glad that I found ente. It's end to end encrypted
Based on our record, ente seems to be more popular. It has been mentiond 87 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.
You can use https://ente.com/ (it's open-source). It also makes the seemingly much better decision of storing photos in S3. - Source: Hacker News / about 1 month ago
Perhaps try https://ente.com/, as they offer a paid plan. - Source: Hacker News / about 2 months ago
> None of the self hosted apps are designed with e2e encryption in mind https://ente.com is open source, and self hosted, and end to end encrypted. - Source: Hacker News / 4 months ago
^ is what I used to import ~300gb of photos from Google Photos to Immich. Not sure how well it works for iCloud. There is also https://ente.io/ which is a private & secure photo backup app that you don't need to self-host. - Source: Hacker News / 11 months ago
You may want to take a look at Ente for photos, too :) https://ente.io/ I am a happy self-hosting user. - Source: Hacker News / 11 months ago
PhotoPrism.app - PhotoPrismยฎ is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.
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.
Google Photos - All your photos are backed up safely, organized and labeled automatically, so you can find them fast, and share them how you like.
Apify Python SDK - Build and manage web scraping Actors in the cloud.
Immich - immich Self-hosted photo and video backup solution directly from your mobile phone
Simple Scraper - Extract data from any website in seconds โ download instantly, scrape in the cloud, or create an API.