AI & Developer

Mistral AI Scraper

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

Get Started Documentation

mistral.ai target

99.5% success rate

~4ms latency

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

Structured data endpoint

Extract structured JSON from mistral.ai with a single POST request. AI-configured selectors, cached for fast repeat calls.

POST /fetch/mistral.ai/

Model nameParametersContext windowBenchmark scorePricingAPI endpoint

Try it Fetch API 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