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twitterapi.io
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.

Which is more popular?
Based on our record, Deepgram seems to be more popular. It has been mentioned 34 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | socialfetch.dev | deepgram.com |
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| Platforms | — | |
| Company | Startup from the United Kingdom · 1 - 9 employees · 2024 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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 — headless browsers, rate limits, normalization — so you get...
No description of Deepgram yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Deepgram yet.
Walkthroughs and reviews on video.
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Deepgram CEO Scott Stephenson | Machine Meets World
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing SocialFetch.dev and Deepgram.
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.
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.
Share your experience with using SocialFetch.dev and Deepgram. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of SocialFetch.dev yet. Be the first one to post
If your voice agent relies on precise understanding of customer speech, go for Deepgram. It is a highly reliable option if you are looking for a ready-made customer service agent.
Deepgram, a powerful voice AI platform that has an option for flexible deployment with enterprise-level security. Its models include speech-to-text (STT) , text-to-speech (TTS), and spoken language understanding.
Deepgram is an AI transcript platform that uses machine learning to develop accurate transcripts. This software tool works at an incredibly high speed with real-time enablement available. The system links completed...
Recommendations tracked on public social media and blogs since March 2021.


Tracking SocialFetch.dev since Jun 2026.
Deepgram changed the maths. Their Nova-3 model does real-time streaming transcription fast enough that the text appears as you speak, not after. And the free tier gives you $200 in credit, which is roughly 12,000 minutes of... - Source: dev.to / 6 months ago
Deepgram is a voice AI application creation platform. Developers can use its API to build audio apps with text-to-speech, speech-to-speech, and speech-to-text models. To experience and see how Deepgram works, visit the URL above and try... - Source: dev.to / 8 months ago
Modern ASR systems (such as Whisper, Deepgram, or custom domain-tuned models) are now robust enough to operate in factories, warehouses, and construction sites where noise floors routinely exceed safe listening levels. - Source: dev.to / 10 months ago
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