Facebook Likes Scraper (Fast & Cheap) 👍 🌟
Pricing
$15.99/month + usage
Facebook Likes Scraper (Fast & Cheap) 👍 🌟
Collect Facebook likes data 📊 from posts. Retrieve the URL, name 📝, ID 🆔, and profile photo 📸 of users who liked 👍, with the option to set a maximum number of results to scrape 🔢. Download data in JSON, CSV, or Excel formats 📥 for use in apps, reports, spreadsheets, or analytics 📈.
5.0 (2)
Pricing
$15.99/month + usage
4
Total users
63
Monthly users
20
Runs succeeded
88%
Issue response
2.3 hours
Last modified
8 days ago
You can access the Facebook Likes Scraper (Fast & Cheap) 👍 🌟 programmatically from your own 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "post_url": "https://www.facebook.com/photo/?fbid=1074759220685453&set=pcb.1074759247352117",10 "maxresults": 30,11}12
13# Run the Actor and wait for it to finish14run = 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("💾 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# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startFacebook Likes Scraper (Fast & Cheap) 👍 🌟 API in Python
The Apify API client for Python is the official library that allows you to use Facebook Likes Scraper (Fast & Cheap) 👍 🌟 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
