Apollo Scraper : Extract Leads, Emails & Phone Numbers
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Apollo Scraper : Extract Leads, Emails & Phone Numbers
1 day trial then $20.00/month - No credit card required now
Break through Apollo.io's export limitations while leveraging your full 10,000 monthly email credits. Extract comprehensive lead data regardless of your subscription plan, converting search results into actionable sales opportunities.
You can access the Apollo Scraper : Extract Leads, Emails & Phone Numbers 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 "startPage": 1,
10 "count": 25,
11 "maxDelay": 10,
12 "proxy": {
13 "useApifyProxy": True,
14 "apifyProxyGroups": ["RESIDENTIAL"],
15 "apifyProxyCountry": "US",
16 },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("datavoyantlab/apollo-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25 print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Apollo Scraper: unlimited Leads, Emails, phone numbers API in Python
The Apify API client for Python is the official library that allows you to use Apollo Scraper : Extract Leads, Emails & Phone Numbers API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Actor Metrics
109 monthly users
-
6 stars
92% runs succeeded
7.2 hours response time
Created in Oct 2024
Modified 8 days ago