Facebook Likes Scraper (Fast & Cheap) π π
2 hours trial then $15.99/month - No credit card required now
Facebook Likes Scraper (Fast & Cheap) π π
2 hours trial then $15.99/month - No credit card required now
Collect Facebook likes data π from posts. Retrieve the URL, name π, ID π, and profile photo πΈ of users who liked π, with the option to set a maximum number of results to scrape π’. Download data in JSON, CSV, or Excel formats π₯ for use in apps, reports, spreadsheets, or analytics π.
You can access the Facebook Likes Scraper (Fast & Cheap) π π 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, youβll 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 "post_url": "https://www.facebook.com/photo/?fbid=595171549729705&set=a.163045716275626",
10 "maxresults": 30,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("scrapestorm/facebook-likes-scraper-fast-cheap").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startFacebook Likes Scraper (Fast & Cheap) π π API in Python
The Apify API client for Python is the official library that allows you to use Facebook Likes Scraper (Fast & Cheap) π π API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Storm_ScraperActor Metrics
10 monthly users
-
2 stars
92% runs succeeded
Created in Dec 2024
Modified 2 days ago
