Facebook Page Search Results Scraper
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Facebook Page Search Results Scraper
2 hours trial then $25.00/month - No credit card required now
Scrape facebook pages from search results and get important details such as page name, description, photo url, is verified, tag or category, reviews, price range, location, hours open, number of followers and page link.
You can access the Facebook Page Search Results 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 "startUrls": ["https://www.facebook.com/search/pages/?q=medical"],
10 "cookies": [],
11 "proxyConfiguration": { "useApifyProxy": True },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("memo23/apify-facebook-page-search-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-startFacebook Page Search Results Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Page Search Results Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Muhamed Didovic- 11 monthly users
- 0 stars
- 98.2% runs succeeded
- Created in Feb 2024
- Modified 19 days ago
