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.
What's great
For a few of my clients they like us to track their social media metrics. We've used stuff like Social Blade in the past but it kind of gets a bit expensive and messy so we ended up building something in-house. We've been using Social Fetch for a while now and it's been working flawlessly and it definitely resolves the headache of having to manage our own scrapers with other like you'd normally have to do with other providers.
vs Alternatives
ApifyI picked Social Fetch over Apify because it's simpler, they have a TypeScript SDK, and it's a credit-based system so I don't pay for what I don't use.
Ratings
Ease of use
Reliability
Value for money
Customization
Report
35 views
Social Fetch
👋 Hey Product Hunt fam!
I’m Luke, and I’m excited to launch Social Fetch today.
🌐 What’s Social Fetch?
Social Fetch is a single REST API for real-time public social data—profiles, posts, comments, videos, transcripts, and metrics, across TikTok, Instagram, Twitter, and more. You get predictable JSON and one integration path, instead of a pile of one-off scrapers that break every time a layout changes.
💡 Why I built it
Every product that touches social eventually reinvents the same nightmare: bespoke parsers, surprise schema changes, and late-night incidents because a selector moved. I wanted social data to feel boring in the good way—stable fields, documented errors, and a requestId on every call so support can actually help. Your team ships features; the API absorbs the churn.
🚀 Why try it?
⚡ One API for many networks—add coverage without rewriting your stack
🧱 Normalized responses—same concepts across platforms, fewer edge cases in your code
🤖 Built for builders—OpenAPI, official TypeScript SDK, and llms.txt / llms.json so humans and coding agents can integrate fast
🛠️ Fits how you already work—backend services, internal tools, analytics pipelines, creator workflows
🔑 Debuggable by design—when something’s off, you’re not guessing; you have a request ID and a clear error envelope
🙌 Join me
I’d love you to sign up, hit the playground, and tell me what you’re building. Comments, feature ideas, and upvotes all help prioritize what ships next.
Start free on the site, or reach out anytime: 📨 support@socialfetch.dev
@lukem121 Absolutely love this! Launching something soon and this might be the thing I was looking for :')
@lukem121 Looking forward to it
@lukem121 dude build a connector for openclaw and watch usage explode!
RiteKit Company Logo API
This is a solid approach to a real pain point—the fragility of social data pipelines is something we see constantly with teams trying to monitor brand mentions and competitor activity across platforms. The normalized schema idea should save a lot of debugging time, especially when platforms inevitably change their layouts.
Pricing, though, benchmarking wih SocialData and te myriad Chinese solutions that are like $0.0002/call? That's gotta be tough.
@osakasaul it's hard to build a moat by just selling API, you are racing to the bottom for it. This tool is saving mind burden for sure.
One API across six platforms is genuinely hard - the cat-and-mouse on LinkedIn alone usually wrecks people. The 'no rate limits' line is the part that makes me curious. Is that no client-side rate limit (you're absorbing the upstream cost) or are you proxying through a residential pool that quietly degrades at scale? And how do you handle platform-level breakage - when LinkedIn ships a new auth gate next quarter, what's the realistic time-to-fix on your end?
Congrats on the launch, Luke. Japan-based founder here.
One Japan-specific thought: for social data APIs here, the blocker may not be “can I pull social data?” but whether the signal stays useful across Japanese platform behavior: X-heavy communities, creator pseudonyms, Japanese text, mixed JP/EN keywords, and context-heavy replies/comments.
The strongest local angle I’d test first is not just “one API for social data,” but “normalized Japanese social signal without maintaining fragile scrapers.”
That could matter for agencies, indie product teams, and creator-tool builders here who need to track product reactions, creators, and communities across X, YouTube, Instagram, and TikTok.
why am i seeing so many relevant products lately, thank you for building this- i am curious how are you finding your way around these social medias blocking scrappers? are you integrating with other permitted tools? would love to get a take on the consistency of results.
again great product luke
And are LinkedIn posts available as well? Usually no one can extract posts from there, LinkedIn blocks that.
How do you even bypass bot protections in social networks?
The llms.txt / llms.json support is a detail i haven't seen other data APIs do yet. makes sense given how many people are piping social data into agents now. Curious how you handle linkedin — that one always seems to be the flakiest. is coverage there stable or still hit or miss?