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Directories Verified

Ndcimgs Scraper

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

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

Extract data in minutes

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

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

Structured data endpoint

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

POST /fetch/ndcimgs.com/
Business NameAddressPhoneCategoryRatingWebsite
curl
curl -X POST https://api.spider.cloud/fetch/ndcimgs.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/ndcimgs.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/ndcimgs.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 NameAddressPhoneCategoryRatingWebsite
Pricing

Real-time price data

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

Get your API key and start extracting data in minutes.