Directories

Redlights.be Homepage Scraper Scraper

Scrapes the Redlights.be homepage to extract category links, popular cities, legal information, and company details. Powered by spider-browser .

Get Started Documentation

redlights.be target

99.9% success rate

~4ms latency

Quick Start

Extract data in minutes

redlights-be-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://www.redlights.be");

const data = await page.extractFields({
  company_info: "footer .row:nth-child(2) .col-12",
  copyright_text: "footer .legal span",
  legal_names: "footer .legal a",
  main_heading: "h1",
  page_title: "head > title",
  popular_cities: "footer .col-md-4:nth-child(2) .text-truncate a",
});

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

✓ ready to run | spider-browser | TypeScript

Fetch API

Structured data endpoint

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

POST /fetch/redlights.be/

Company InfoCopyright TextLegal NamesMain HeadingPage TitlePopular Cities

Try it Fetch API Docs

curl

curl -X POST https://api.spider.cloud/fetch/redlights.be/ \
  -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/redlights.be/",
    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/redlights.be/", {
  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

Data you can extract

Company InfoCopyright TextLegal NamesMain HeadingPage TitlePopular CitiesPopular Cities HeadingRedlights Section HeadingRedlights Section Names Col1Redlights Section Names Col2

Pricing