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Apify Managed - Facebook Hashtag Scraper

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Apify Managed - Facebook Hashtag Scraper

Apify Managed - Facebook Hashtag Scraper

circ_le/apify-managed---facebook-hashtag-scraper
Try for free

No credit card required

Extract data from hundreds of Facebook posts using one or multiple hashtags. Get post text&URL, time of posting, basic poster info, image&video URLs, OCR text, likes, comments and shares count, and more. Download the data in JSON, CSV, Excel and use it in apps, spreadsheets, and reports

You can access the Apify Managed - Facebook Hashtag 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    "keywordList": ["webscraping"],
10    "resultsLimit": 50,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("circ_le/apify-managed---facebook-hashtag-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

Apify Managed - Facebook Hashtag Scraper API in Python

The Apify API client for Pythonis the official library that allows you to use Apify Managed - Facebook Hashtag 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

  • 1 monthly user

  • 1 star

  • >99% runs succeeded

  • Created in Jun 2024

  • Modified 10 hours ago