Facebook Posts Search Scraper
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Facebook Posts Search Scraper
1 day trial then $19.99/month - No credit card required now
Effortlessly extract posts from Facebook search results. This actor automates the collection of posts based on custom queries, providing detailed information such as post content, engagement metrics, and author details. Ideal for social media monitoring, market research, and trend analysis.
You can access the Facebook Posts Search 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
10# Run the Actor and wait for it to finish
11run = client.actor("easyapi/facebook-posts-search-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Facebook Posts Search Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Posts Search Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
- 17 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in Oct 2024
- Modified 4 days ago