🔥Apollo Scraper - Scrape upto 50k Leads avatar

🔥Apollo Scraper - Scrape upto 50k Leads

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🔥Apollo Scraper - Scrape upto 50k Leads

🔥Apollo Scraper - Scrape upto 50k Leads

code_crafter/apollo-io-scraper
Try for free

Pay $1.20 for 1,000 leads

Scrape up to 50,000 leads per search URL.

You can access the 🔥Apollo Scraper - Scrape upto 50k Leads 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 = { "url": "https://app.apollo.io/#/people?finderViewId=5b8050d050a3893c382e9360&personLocations[]=Germany&page=1&sortByField=recommendations_score&organizationNumEmployeesRanges[]=5000%2C5200&organizationIndustryTagIds[]=5567e0bf7369641d115f0200&organizationIndustryTagIds[]=5567e3f3736964395d7a0000" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("code_crafter/apollo-io-scraper").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

🔥Apollo Scraper - Scrape upto 50k Leads API in Python

The Apify API client for Python is the official library that allows you to use 🔥Apollo Scraper - Scrape upto 50k Leads 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

  • 2.1k monthly users

  • 112 stars

  • >99% runs succeeded

  • 3.7 hours response time

  • Created in Sep 2024

  • Modified 3 days ago