Social Fetch is social media scraper API for every major platform. Fetch profiles, posts, comments, videos, transcripts, metrics, and engagement signals from TikTok, Instagram, YouTube, X, LinkedIn, Facebook, Reddit, and more without maintaining scrapers yourself.
Built for founders and engineering teams shipping social analytics, creator tools, enrichment workflows, monitoring dashboards, and AI agents. Live data, pay-as-you-go credits and no subscription.
This is the 2nd launch from Social Fetch. View more
Social Fetch
Launched this week
Social media scraping API for public profiles, posts, comments, videos, transcripts, and metrics from TikTok, Instagram, YouTube, X, LinkedIn, and more. Pay-as-you-go credits, 100 free to start.
Free Options
Launch Team / Built With
How fresh is the data on those metrics — are we talking real-time pulls or is there some delay before posts and engagement stats update after going live?
How does the pay-as-you-go credit system actually work in practice, like how many requests do typical profile fetches cost and is there a way to estimate usage before running a large batch?
How does the pay-as-you-go pricing actually work in practice, like is it one credit per profile fetch or does it scale with the depth of data you pull back?
How does the pay-as-you-go pricing actually work in practice, like is it per profile fetched, per post returned, or something else? Trying to figure out if it stays cost-effective for monitoring a lot of accounts at once.
How do you prevent missing posts during platform updates. A clear retry process would build stronger trust with developers.
How do you handle rate limiting and terms of service compliance across all these platforms, especially with pay-as-you-go credits and no subscription?
How do you ensure developers can build production applications without worrying about scraper failures or schema changes?