TailScale
ZeroTier
ngrok
Netmaker
OpenVPN
WireGuard
NetBird
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SocialFetch.dev
API Direct
Apify Python SDK
Simple Scraper
TranscriptAPI.com
SocialHunt.co
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.
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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.
They make the already great wireguard even better! Installation and configuration is a breeze, can easily connect to machines behind firewall(s) without altering anything.
Definitely made life easier.
Based on our record, TailScale seems to be more popular. It has been mentiond 544 times 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.
Tailscale gives you a private VPN to access your homelab from anywhere - no port forwarding, no dynamic DNS headaches. - Source: dev.to / 3 days ago
Tailscale + exit node for clean IP rotation. - Source: dev.to / about 1 month ago
Tailscale is how every machine in the stack is reachable from outside the local network. All four machines are on the same Tailnet, which means I can reach any service from anywhere without opening ports or maintaining a VPN server. - Source: dev.to / about 1 month ago
Still the most reliable setup, honestly. SSH into your machine over Tailscale (or Mosh if your connection is rubbish), reattach your tmux session, carry on. Free, works everywhere, been around forever. The downside is it's all terminal and you need to know your way around. Not exactly mobile-friendly either. Typing SSH commands on a phone keyboard is proper painful. - Source: dev.to / 3 months ago
The entire system runs on three machines connected via Tailscale mesh VPN:. - Source: dev.to / 4 months ago
ZeroTier - Extremely simple P2P Encrypted VPN
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.
ngrok - ngrok enables secure introspectable tunnels to localhost webhook development tool and debugging tool.
Apify Python SDK - Build and manage web scraping Actors in the cloud.
Netmaker - Netmaker automates mesh VPN's and software-defined networks using WireGuard.
Simple Scraper - Extract data from any website in seconds โ download instantly, scrape in the cloud, or create an API.