Facebook Share User Data Scraper avatar
Facebook Share User Data Scraper

Pricing

$9.90/month + usage

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Facebook Share User Data Scraper

Facebook Share User Data Scraper

Developed by

Dannyswift.hub

Dannyswift.hub

Maintained by Community

Extract Facebook Share users' data from one or multiple Facebook posts. You can get the user name/user profile links, and avatar. You can download the data with all formats like JSON/Excel/CSV

0.0 (0)

Pricing

$9.90/month + usage

1

Total users

20

Monthly users

7

Runs succeeded

>99%

Last modified

25 days ago

You can access the Facebook Share 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-share-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-start

Facebook share user profile API in Python

The Apify API client for Python is the official library that allows you to use Facebook Share User Data Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: