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Scrape Emails And Social Media Links With Just a Query

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Scrape Emails And Social Media Links With Just a Query

Scrape Emails And Social Media Links With Just a Query

lead.gen.labs/scrape-emails-and-social-media-links-with-just-a-query
Try for free

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

Get Emails And Social Media Links With Just a Query !!!!! The actor will take a query and some parameter as input and scrape contact details with just a query. ACTOR IS FREE FOR LIMITED TIME.

You can access the Scrape Emails And Social Media Links With Just a Query 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    "query": "test",
10    "pattern": [],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("lead.gen.labs/scrape-emails-and-social-media-links-with-just-a-query").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

Scrape Emails And Social Media Links With Just a Query API in Python

The Apify API client for Python is the official library that allows you to use Scrape Emails And Social Media Links With Just a Query 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
  • 18 monthly users
  • 2 stars
  • 98.2% runs succeeded
  • 15 hours response time
  • Created in Apr 2024
  • Modified 2 months ago