Yellow Pages US Scraper
Pay $0.50 for 1,000 results
Yellow Pages US Scraper
Pay $0.50 for 1,000 results
Extract key business information from Yellow Pages US listings, including business names, addresses, phone numbers, categories, website URL, opening hours, ratings, a snippet review and many more. You can export results in various formats including JSON, XLS, XML, HTML table, CSV, JSONL
You can access the Yellow Pages US 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 "search": "Restaurant",
10 "locality": "New York",
11 "maxPages": 2,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("karamelo/yellow-pages-us-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startYellow Pages US Scraper API in Python
The Apify API client for Python is the official library that allows you to use Yellow Pages US Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
karamelo- 10 monthly users
- 2 stars
- 100.0% runs succeeded
- Created in Aug 2024
- Modified about 1 month ago
