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Instagram Like & Comments Scraper

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Instagram Like & Comments Scraper

Instagram Like & Comments Scraper

saswave/instagram-like-comments-scraper
Try for free

2 hours trial then $25.00/month - No credit card required now

List all your followers likes and comments on your posts for data analysis. You can also list likes from a posts you are not the owner, instagram limit of 100 likers per post You can narrow down, who is engaging and who might be a bot, dragging down your reach/engagement. Boost your instagram posts

You can access the Instagram Like & Comments 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 = { "urls": [
9        "https://www.instagram.com/p/C7xBALsvCAi/",
10        "https://www.instagram.com/p/C7xBALsvCAi/",
11    ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("saswave/instagram-like-comments-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

Instagram Like & Comments Scraper API in Python

The Apify API client for Python is the official library that allows you to use Instagram Like & Comments 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 Community

Actor Metrics

  • 22 monthly users

  • 10 stars

  • 72% runs succeeded

  • 9.4 hours response time

  • Created in Nov 2023

  • Modified 9 days ago