Deep Email, Phone, & Social Media Scraper
Pay $8.00 for 1,000 emails
Deep Email, Phone, & Social Media Scraper
Pay $8.00 for 1,000 emails
A powerful tool that extracts emails, phone numbers, and social media profiles from any website. It intelligently navigates, prioritizing pages likely to have contact info - even deep in the site. Perfect for lead generation, market research, competitive analysis, and building contact databases.
You can access the Deep Email, Phone, & Social Media Scraper programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "websites": [
12 "https://www.southampton.ac.uk/people"
13 ]
14};
15
16// Run the Actor and wait for it to finish
17const run = await client.actor("peterasorensen/snacci").call(input);
18
19// Fetch and print Actor results from the run's dataset (if any)
20console.log('Results from dataset');
21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
22const { items } = await client.dataset(run.defaultDatasetId).listItems();
23items.forEach((item) => {
24 console.dir(item);
25});
26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsDeep Email, Phone, & Social Media Web Scraper - Lead Finder API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Deep Email, Phone, & Social Media 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:
peterasorensenActor Metrics
94 monthly users
-
7 bookmarks
98% runs succeeded
7.5 days response time
Created in Oct 2024
Modified 21 hours ago
