Mistral AI Scraper

Extract model cards, API documentation, benchmark results, and deployment guides from the Mistral AI platform. Built on spider-browser .

Get started Docs

target
mistral.ai: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

mistral-ai-scraper.ts

import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://docs.mistral.ai/getting-started/models/models_overview/");
await page.content(10000);

const data = await page.evaluate(`(() => {
  const title = document.querySelector("h1")?.textContent?.trim();
  const models = [];
  document.querySelectorAll("table tr").forEach(el => {
    const cells = [...el.querySelectorAll("td")].map(td => td.textContent?.trim());
    if (cells.length > 2) models.push({ name: cells[0], params: cells[1], context: cells[2], description: cells[3] });
  });
  const sections = [];
  document.querySelectorAll("article h2").forEach(h => {
    sections.push({ heading: h.textContent?.trim(), content: h.nextElementSibling?.textContent?.trim()?.slice(0, 300) });
  });
  return JSON.stringify({ title, models: models.slice(0, 10), sections: sections.slice(0, 8) });
})()`);

console.log(JSON.parse(data));
await spider.close();

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for mistral.ai.

Structured JSON from mistral.ai with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/mistral.ai/

Model nameParametersContext windowBenchmark scorePricingAPI endpoint

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/mistral.ai/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

Python

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/mistral.ai/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

Node.js

const resp = await fetch("https://api.spider.cloud/fetch/mistral.ai/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);

Extraction

Fields you can pull.

Model nameParametersContext windowBenchmark scorePricingAPI endpointDescriptionLicense

Rendering

React SPA handling

Full browser rendering for streaming content and dynamic React UI.

Content

Structured parsing

Extract code blocks, documentation, repository data, and metadata.

Waiting

Load completion

Smart network idle detection waits for dynamically loaded content to finish.

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Start

Start scraping mistral.ai.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.

Get started free All scrapers