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.
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Pulled a few TikTok profiles and the transcripts came back cleaner than expected, which saved me a ton of cleanup time. Pay-as-you-go pricing is a nice change from the usual monthly minimums.
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I enjoy the broad platform support because maintaining scrapers takes real efforts. how do you verify that profile metrics stay accurate over time. Regular validation against public data could improve confidence for analytics products.
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How does the pay-as-you-go credit pricing work in practice, like do different platforms or data types cost different amounts per call?
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Finally tried it out last night and was surprised how clean the transcript endpoint returned for a messy TikTok I tested. Wish more APIs worked that smoothly without a monthly commitment.
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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?
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Spent a few minutes pulling TikTok profile data and the response time was way faster than the DIY scraper setup I was running before. Clean docs too.
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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?
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Finally tried this after maintaining my own scrapers for months, and getting TikTok transcripts through the API saved me a whole weekend of work. Clean docs too.
maintaining scrapers across multiple platforms is a nightmare, every API change breaks something. having one unified layer for this makes a lot of sense
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This is one of those unglamorous pieces that decides whether an AI/social product is reliable. The API surface matters, but freshness, rate-limit behavior, and clear failure states are what keep teams from turning every launch into scraper maintenance.
Replies
Pulled a few TikTok profiles and the transcripts came back cleaner than expected, which saved me a ton of cleanup time. Pay-as-you-go pricing is a nice change from the usual monthly minimums.
I enjoy the broad platform support because maintaining scrapers takes real efforts. how do you verify that profile metrics stay accurate over time. Regular validation against public data could improve confidence for analytics products.
How does the pay-as-you-go credit pricing work in practice, like do different platforms or data types cost different amounts per call?
Finally tried it out last night and was surprised how clean the transcript endpoint returned for a messy TikTok I tested. Wish more APIs worked that smoothly without a monthly commitment.
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?
Spent a few minutes pulling TikTok profile data and the response time was way faster than the DIY scraper setup I was running before. Clean docs too.
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?
Finally tried this after maintaining my own scrapers for months, and getting TikTok transcripts through the API saved me a whole weekend of work. Clean docs too.
BetterClaw
maintaining scrapers across multiple platforms is a nightmare, every API change breaks something. having one unified layer for this makes a lot of sense
This is one of those unglamorous pieces that decides whether an AI/social product is reliable. The API surface matters, but freshness, rate-limit behavior, and clear failure states are what keep teams from turning every launch into scraper maintenance.