Social Media Data Feed for Developers
Social Fetch is social media scraper API for every major platform. Fetch profiles, posts, comments, videos, transcripts, metrics, and engagement signa…
In plain English
Social Fetch pulls public profiles, posts, comments and video transcripts from TikTok, Instagram, YouTube, X and other networks. Developers plug it into their own apps and AI tools instead of building scrapers themselves. They pay for access each month. The hard part is keeping up when the big networks change their pages.
~$4,592 MRR; $8,528 verified revenue last 30 days (TrustMRR/Stripe, Oct 29, 2026)
Operator: Luke Askew
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
Anthropic API ↗LLM / agents
Next.js ↗Web app framework
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Ship an API or tool developers and agents call directly.
- Great docs, SDKs and MCP/CLI access.
- Usage-based or tiered pricing.
- Grow via developer communities and integrations.
What's automated vs. the human 15%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
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.
Operator: Luke Askew. Category on TrustMRR: Developer Tools. Founded: 2026-03-31. Website: http://www.socialfetch.dev/
Estimated split: about 85% of the work automated, 15% human.
Realistic income
TrustMRR (checked Oct 29, 2026) shows about $4,592 MRR and $8,528 in Stripe-verified revenue over the last 30 days, $20,582 verified over its tracked history. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live listing — numbers change.
Risks
- Platform dependency on upstream models/tools.
- Support burden from technical users.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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