Yellow Pages US Scraper
1 day trial then $12.00/month - No credit card required now
Yellow Pages US Scraper
1 day trial then $12.00/month - No credit card required now
Search for businesses on the US Yellow Pages. Extract key business information from Yellow Pages US listings, including business names, addresses, phone numbers, categories, website URL, opening hours, ratings, a snippet review... . Export results to 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 "proxyOptions": {
13 "useApifyProxy": True,
14 "apifyProxyGroups": ["BUYPROXIES94952"],
15 },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("karamelo/yellow-pages-us-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24 print(item)
25
26# 📚 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:
karameloActor Metrics
5 monthly users
-
2 stars
>99% runs succeeded
Created in Aug 2024
Modified 2 months ago
