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Deep Email, Phone, & Social Media Scraper

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Pay $8.00 for 1,000 emails

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Deep Email, Phone, & Social Media Scraper

Deep Email, Phone, & Social Media Scraper

peterasorensen/snacci
Try for free

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 Python 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.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "websites": ["https://www.southampton.ac.uk/people"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("peterasorensen/snacci").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Deep Email, Phone, & Social Media Web Scraper - Lead Finder API in Python

The Apify API client for Python is the official library that allows you to use Deep Email, Phone, & Social Media Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 95 monthly users

  • 7 bookmarks

  • 98% runs succeeded

  • 7.5 days response time

  • Created in Oct 2024

  • Modified 15 hours ago