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Directories & Listings
Verified

Foursquare Scraper

Extract venue listings, user tips, ratings, check-in counts, and location categories from Foursquare city guides. Built on spider-browser .

Get started Docs
target
foursquare.com
success rate
99.9%
latency
~4ms
Quick start

Extract data in minutes.

foursquare-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://foursquare.com/explore?near=San+Francisco&q=coffee");
await page.content();

const data = await page.evaluate(`(() => {
  const venues = [];
  document.querySelectorAll(".venue, .venueCard").forEach(el => {
    const name = el.querySelector(".venueName h2, .venueTitle")?.textContent?.trim();
    const category = el.querySelector(".categoryName, .venueCategory")?.textContent?.trim();
    const rating = el.querySelector(".venueScore, .rating")?.textContent?.trim();
    const address = el.querySelector(".venueAddress, .address")?.textContent?.trim();
    if (name) venues.push({ name, category, rating, address });
  });
  return JSON.stringify({ total: venues.length, venues: venues.slice(0, 15) });
})()`);

console.log(JSON.parse(data));
await spider.close();
ready to run · spider-browser · TypeScript
Fetch API

One endpoint for foursquare.com.

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

POST /fetch/foursquare.com/
Venue nameCategoryRatingTips countAddressPrice level
cURL
curl -X POST https://api.spider.cloud/fetch/foursquare.com/ \
  -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/foursquare.com/",
    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/foursquare.com/", {
  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.

Venue nameCategoryRatingTips countAddressPrice levelHoursPhotos count
Data

Business intelligence

Extract company profiles, contacts, and industry data from foursquare.com.

Pagination

Directory crawling

Navigate category trees and paginated business directories automatically.

Scale

Bulk enrichment

Process thousands of business profiles for lead generation datasets.

Related

More Directories & Listings scrapers.

Start

Start scraping foursquare.com.

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