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Stripe-club Scraper

Extract travel listings, prices, and destination data from Stripe-club. Powered by spider-browser .

Get Started Documentation
stripe-club.com target
99.9% success rate
~4ms latency
Quick Start

Extract data in minutes

stripe-club-com-scraper.ts
import Spider from "@niceperson/spider-client";

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

const result = await spider.scrapeUrl("https://www.stripe-club.com", {
  return_format: "json",
});

console.log(result);
✓ ready to run | spider-browser | TypeScript
Fetch API

Structured data endpoint

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

POST /fetch/stripe-club.com/
DestinationPriceRatingDescriptionImage
curl
curl -X POST https://api.spider.cloud/fetch/stripe-club.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/stripe-club.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/stripe-club.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

Data you can extract

DestinationPriceRatingDescriptionImage
Pricing

Dynamic rate capture

Session-aware scraping captures pricing on stripe-club.com that changes per visitor.

Rendering

Complex SPA handling

Full browser rendering for React/Next.js booking interfaces and search results.

Scale

Destination coverage

Scrape listings across thousands of destinations and date ranges concurrently.

Related

More Travel scrapers

Start scraping stripe-club.com

Get your API key and start extracting data in minutes.