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Social & Email Scraper

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Social & Email Scraper

Social & Email Scraper

lead.gen.labs/social-email-scraper
Try for free

3 days trial then $20.00/month - No credit card required now

Empower your data quest! The Social & Email Scraper Apify Actor: your precision-driven solution for effortlessly extracting vital contact details from any webpage. Elevate outreach strategies with ease and conquer web data intricacies.

You can access the Social & Email 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 = {
9    "urls": "https://generalsf.com/ https://edenavowconstruction.com/, https://prosperdevelopment.com/, missionhomeremodeling.com https://www.leefamilycorp.com/",
10    "pattern": [],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("lead.gen.labs/social-email-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Social & Email Scraper API in Python

The Apify API client for Python is the official library that allows you to use Social & Email 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
  • 64 monthly users
  • 21 stars
  • 96.4% runs succeeded
  • 3.4 hours response time
  • Created in Dec 2023
  • Modified about 1 month ago