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Facebook Photos Scraper

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Facebook Photos Scraper

Facebook Photos Scraper

apify/facebook-photos-scraper
Try for free

7 days trial then $20.00/month - No credit card required now

Extract data from one or multiple Facebook images. Get image ID, Facebook photo URL, image URL, OCR text, and more. Download the data in JSON, CSV, and Excel and use it in apps, spreadsheets, and reports.

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You can access the Facebook Photos Scraper 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, 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    "startUrls": [{ "url": "https://www.facebook.com/humansofnewyork" }],
10    "resultsLimit": 10,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("apify/facebook-photos-scraper").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-start

📸 Facebook Photos Scraper API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Apify
Actor metrics
  • 62 monthly users
  • 8 stars
  • 100.0% runs succeeded
  • 3.6 days response time
  • Created in Nov 2022
  • Modified 6 days ago