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huggingface.co · HTTP 200

Hugging Face Scraper

Spider read huggingface.co in 1.4 s without a browser and returned 206 lines of clean markdown, including sections like "More than 50,000 organizations are using Hugging Face", "AI at Meta" and "Amazon".

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Response huggingface.co/index.md markdown · 206 lines
Deploy on optimized Inference Endpoints or update your Spaces applications to a GPU in a few clicks.## More than 50,000 organizations are using Hugging Face#### Ai2non-profit • 968 models • 6.4k followers](https://huggingface.co/allenai) [#### AI at Metacompany • 2.35k models • 14k followers](https://huggingface.co/facebook) [#### Amazoncompany • 36 models • 4.25k followers](https://huggingface.co/amazon) [#### Googlecompany • 1.13k models • 63.8k followers](https://huggingface.co/google) [#### Intelcompany • 254 models • 4.19k followers](https://huggingface.co/Intel) [#### Microsoftcompany • 534 models • 21.4k followers](https://huggingface.co/microsoft) [#### Grammarlycompany • 11 models • 231 followers](https://huggingface.co/grammarly) [#### Writercompany • 34 models • 402 followers](https://huggingface.co/Writer)## Our Open SourceWe are building the foundation of ML tooling with the community.State-of-the-art AI models for PyTorch](https://huggingface.co/docs/transformers)[####State-of-the-art Diffusion models in PyTorch](https://huggingface.co/docs/diffusers)[####Safe way to store/distribute neural network weights](https://huggingface.co/docs/safetensors)[####Python client to interact with the Hugging Face Hub](https://huggingface.co/docs/huggingface_hub)[####Fast tokenizers optimized for research & production](https://huggingface.co/docs/tokenizers)[####Train transformers LMs with reinforcement learning](https://huggingface.co/docs/trl)[####State-of-the-art ML running directly in your browser](https://huggingface.co/docs/transformers.js)[####Smol library to build great agents in Python](https://huggingface.co/docs/smolagents)[####Parameter-efficient finetuning for large language models](https://huggingface.co/docs/peft)[####Access & share datasets for any ML tasks](https://huggingface.co/docs/datasets)[####
Code · Fields · Cost · Run it keyless, no account

The same call, in code.

The capture above came back as markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on huggingface.co.

huggingface-scraper.ts
import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://huggingface.co/models?sort=trending");

// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();

console.log(data);
await spider.close();
ready to run · spider-browser, no selectors

Ready for volume? Get an API key →

Fields you can pull.

Model nameDownloadsLikesTagsLibraryLicenseAuthorLast updated

Spider names these from the page. The capture above came back as markdown; the same call with return_format: "json" returns them as keys.

What huggingface.co costs to scrape.

The capture above cost $0.000289 to fetch. Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so a page like this one lands at a fraction of a cent. Failed requests are billed at $0.

  • Free balance on signup
  • No card required to test
  • Balance never expires
See the full pricing →

Run it keyless, no account

curl -X POST https://api.spider.cloud/scrape -H "Content-Type: application/json" -d '{"url": "https://huggingface.co/", "return_format": "markdown"}'

More AI & Developer scrapers.

Start scraping huggingface.co.

You already have the call. A key raises the rate limit and turns on browser rendering, proxies, and concurrency. Balance never expires, and top-ups go through secure checkout.