SocialFetch.dev
API Direct
Apify Python SDK
Simple Scraper
TranscriptAPI.com
SocialHunt.co
Macarons
Donut Slack Bot
Coffee Chat Slack
Catchup Rocks
Snack Slack Bot
Coworker Coffee
Suptask
RandomCoffee
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.
Meet random people from your organization for a coffee with macarons or for a quick video call. ย Get to know your colleagues better and maybe even make new (work) friends.
๐ง Quick and Easy
Just add the Macarons app to a Slack channel and it will automatically pair off random members for (virtual) coffees.
๐ฐ Control the Odds
For each channel you can control how often and when chat lotteries happen, as well as how many people should be matched together.
๐ง Ice Breakers
Let Macarons get conversations started with predefined ice breakers or set your own custom topics for each round.
๐ Take a skip day
Independent of a channels meeting interval, each user can always individually pause their participation or decide to only take part every other time.
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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, Macarons seems to be more popular. It has been mentiond 1 time 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.
It took us a few months (I think it was 4) but now we released Macarons. After adding Macarons to the workspace you have to invite it to a channel and then can configure how often people of that channel are matched. Additionally you can specify how big the match groups should be and everyone participating can adjust their participation rate. That's basically it. Since Macarons is not over-boarded with features we... Source: about 4 years ago
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.
Donut Slack Bot - Get matched with a new coffee buddy each week in Slack
Apify Python SDK - Build and manage web scraping Actors in the cloud.
Coffee Chat Slack - Schedule random coffee chats for your team in Slack. Start connecting your team in just a couple of clicks with templates designed just for the needs of remote and hybrid teams.
Simple Scraper - Extract data from any website in seconds โ download instantly, scrape in the cloud, or create an API.
Catchup Rocks - Virtual coffee / watercooler chats for Slack.
