Instagram Mentions Scraper avatar

Instagram Mentions Scraper

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Pay $2.30 for 1,000 posts

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Instagram Mentions Scraper

Instagram Mentions Scraper

apify/instagram-tagged-scraper
Try for free

Pay $2.30 for 1,000 posts

Extract data from tagged posts and mentions on Instagram. Just add one or more Instagram usernames and get post text, hashtags, mentions, comments, images, likes, locations, and metadata. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

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You can access the Instagram Mentions 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    "username": ["zelenskyy_official"],
10    "resultsLimit": 30,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("apify/instagram-tagged-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 Mentions and Tagged Posts Scraper API in Python

The Apify API client for Python is the official library that allows you to use Instagram Mentions 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
  • 245 monthly users
  • 11 stars
  • 99.5% runs succeeded
  • 1.8 days response time
  • Created in Nov 2022
  • Modified 1 day ago