Llns Scraper

Extract business listings, contact info, and directory data from Llns. Built on spider-browser .

Get started Docs

target
llns.net: success rate
99.9%: latency
~4ms

POST /fetch/llns.net/

return_format

curl -X POST https://api.spider.cloud/fetch/llns.net/ \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

200 OK · cache hit · response shape

{
  "url": "https://llns.net/",
  "status": 200,
  "data": {
    "business_name": "string",
    "address": "string",
    "phone": "string",
    "category": "string"
  }
}

# Llns Scraper

**Business Name**: string
**Address**: string
**Phone**: string
**Category**: string

Quick start

Extract data in minutes.

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

llns-net-scraper.ts

import { Spider } from "@spider-cloud/spider-client";

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

const result = await spider.scrapeUrl("https://www.llns.net", {
  return_format: "markdown",
});

console.log(result);

curl -X POST https://api.spider.cloud/fetch/llns.net/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/llns.net/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

const resp = await fetch("https://api.spider.cloud/fetch/llns.net/", {
  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);