Email ✉️ & Phone ☎️ Extractor
7 days trial then $30.00/month - No credit card required now
Email ✉️ & Phone ☎️ Extractor
7 days trial then $30.00/month - No credit card required now
Extract emails, phone numbers, and other contact information like Twitter, LinkedIn, Instagram... from websites you provide. Best for lead generation and data enrichment. Export data in structured formats and dominate your outreach game. Capture your leads almost for free, fast, and without limits.
You can access the Email ✉️ & Phone ☎️ Extractor 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 "startUrls": [{ "url": "https://apify.com/contact" }],
10 "maxRequests": 5,
11 "maxDepth": 2,
12 "pseudoUrls": [".*"],
13 "proxyConfig": { "useApifyProxy": True },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("anchor/email-phone-extractor").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startEmail & Phone Extractor API in Python
The Apify API client for Python is the official library that allows you to use Email ✉️ & Phone ☎️ Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
AnchorActor Metrics
185 monthly users
-
54 stars
>99% runs succeeded
1.9 hours response time
Created in Oct 2021
Modified 2 months ago
