Point2homes Scraper
Pay $35.00 for 1,000 results
Point2homes Scraper
Pay $35.00 for 1,000 results
The Point2Homes Scraper is a web crawler that extracts real estate listings from Point2Homes. It gathers key details like price, location, size, bedrooms, bathrooms, and listing status. The scraper handles pagination and dynamic content, providing up-to-date, accurate insights.
You can access the Point2homes Scraper programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "urls": [
12 "https://www.point2homes.com/US/Apartment-Buildings/CA/Pasadena/City-Place-1-0.html"
13 ],
14 "proxyConfiguration": {
15 "useApifyProxy": true
16 }
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("getdataforme/point2homes-scraper").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27 console.dir(item);
28});
29
30// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsPoint2homes Scraper API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Point2homes Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
GetDataForMeActor Metrics
2 monthly users
-
0 No bookmarks yet
>99% runs succeeded
Created in Feb 2025
Modified 2 days ago
