🏯 Instagram Comments Scraper (Pay Per Result)
Pay $0.50 for 1,000 comments
🏯 Instagram Comments Scraper (Pay Per Result)
Pay $0.50 for 1,000 comments
The Instagram Comments Scraper is the perfect tool for extracting comments from Instagram posts quickly and affordably. Priced at just $0.50 per 1,000 comments, it offers impressive speeds, processing 100 to 200 comments per second!
You can access the 🏯 Instagram Comments Scraper (Pay Per Result) 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": ["https://www.instagram.com/p/DC7Q4z5JPMX/"],
10 "postIds": ["DCKDRSpiy3b"],
11 "maxItems": 1000,
12 "customMapFunction": "(object) => { return {...object} }",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("apidojo/instagram-comments-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🏯 Instagram Comments Scraper (Pay Per Result) API in Python
The Apify API client for Python is the official library that allows you to use 🏯 Instagram Comments Scraper (Pay Per Result) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
API DojoActor Metrics
19 monthly users
-
5 stars
>99% runs succeeded
Created in Nov 2024
Modified 10 hours ago
