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Directories

Trends1st Scraper

Extract business listings, contact info, and directory data from Trends1st. Powered by spider-browser .

Get Started Documentation
trends1st.com target
99.9% success rate
~4ms latency
Quick Start

Extract data in minutes

trends1st-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.trends1st.com", {
  return_format: "json",
});

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

Structured data endpoint

Extract structured JSON from trends1st.com with a single POST request. AI-configured selectors, cached for fast repeat calls.

POST /fetch/trends1st.com/
Business NameAddressPhoneCategoryRating
curl
curl -X POST https://api.spider.cloud/fetch/trends1st.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/trends1st.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/trends1st.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

Business NameAddressPhoneCategoryRating
Pricing

Real-time price data

Monitor product prices, discounts, and availability changes on trends1st.com.

Anti-Bot

Protection bypass

Automated CAPTCHA solving and fingerprint rotation to access product pages reliably.

Scale

Bulk extraction

Process thousands of product pages concurrently with smart retry and browser switching.

Related

More Directories scrapers

Start scraping trends1st.com

Get your API key and start extracting data in minutes.