Facebook Like User Data Scraper
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Facebook Like User Data Scraper
1 day trial then $9.90/month - No credit card required now
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
Dannyswift.hubActor Metrics
11 monthly users
No reviews yet
1 bookmark
>99% runs succeeded
Created in Dec 2024
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 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 "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 finish
16run = 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:
