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.

ScreenRun's answer:

ScreenRun is used by product teams and designers that want to share engaging videos of their apps or screens to colleagues, followers or clients.

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.

ScreenRun's answer:

Many screen recording apps are either too simple (just record your screen) or complex, and none of them offered a way to quickly create engaging screen recordings by placing a few points over images or video clips to zoom and engage the person watching.

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.

ScreenRun's answer:

Everything is web-based using modern browser APIs for video encoding and decoding. ScreenRun also uses AI from OpenAI to create automatic transcripts from your audio and video assets. But everything runs in your browser, no cloud involved for total privacy.

SocialFetch.dev's answer

Social Fetch provides a unified REST API that lets developers collect public data from 20+ social platforms — TikTok, Instagram, YouTube, X, LinkedIn, Reddit, Facebook, Threads, and more — 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.

ScreenRun's answer:

Entirely web-based video creation too with zooms, webcam and automatic captions. And unlike many web-based products, ScreenRun runs entirely inside your web browser without sending any data to a server. This aspect is critical for total privacy in work contexts.

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.

ScreenRun's answer:

ScreenRun is so simple to use! And because it's web-based, you can access it from anywhere, including iPhone or Android.

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.