Facebook Like User Data Scraper
Pricing
$9.90/month + usage
Facebook Like User Data Scraper
Extract Facebook like users' data from one or multiple Facebook posts. You can get the user name/like type(like, love, care, sad, wow), user profile links, and avatar. You can download the datas with all formats like Json/excel/CSV
0.0 (0)
Pricing
$9.90/month + usage
1
Total users
36
Monthly users
6
Runs succeeded
>99%
Issues response
7.6 hours
Last modified
2 months ago
You can access the Facebook Like User Data Scraper 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 "cookies": "[]",10 "postUrls": [{ "url": "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl" }],11 "amount": 10,12 "proxy": { "useApifyProxy": False },13}14
15# Run the Actor and wait for it to finish16run = client.actor("danny.hub/facebook-like-user-data-scraper").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])20for item in client.dataset(run["defaultDatasetId"]).iterate_items():21 print(item)22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startFacebook Like User Data Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Like User Data Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
