Facebook page posts checker avatar

Facebook page posts checker

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Facebook page posts checker

Facebook page posts checker

apify/facebook-page-posts-checker
Try for free

30 days trial then $39.00/month - No credit card required now

Facebook page checker extracts posts until several years from past, reviews and page details. Groups added as beta, less posts expected but with better details.

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You can access the Facebook page posts checker 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    "pageNames": ["humansofnewyork"],
10    "maxPosts": 3,
11    "groupLimit": 0,
12    "commentsLimit": 0,
13    "resultsLimit": 10,
14    "proxy": {
15        "useApifyProxy": True,
16        "apifyProxyGroups": ["RESIDENTIAL"],
17    },
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("apify/facebook-page-posts-checker").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook page posts checker API in Python

The Apify API client for Python is the official library that allows you to use Facebook page posts checker 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
  • 19 monthly users
  • 12 stars
  • 99.8% runs succeeded
  • 8.8 days response time
  • Created in May 2022
  • Modified 4 months ago