Expert Tutorial

How to Use Instagram Comments Scraper to Extract Data (2026 Guide)

A step-by-step guide on how to use Instagram Comments Scraper to extract data and export it to Excel or CSV without coding.

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What is Instagram Comments Scraper?

Extract Instagram post and reel comments with text, usernames, replies, and engagement data. Perfect for sentiment analysis and audience research.

The Instagram Comments Scraper pulls the conversation under any post or reel: comment text, usernames, timestamps, like counts, reply threads, and tagged mentions. Marketers use it for sentiment reads on launches, influencer comment-quality checks, giveaway entry collection, and FAQ mining from real audience questions. It expands paginated comment threads automatically on Apify's cloud, capturing thousands of comments per post including nested replies. Export to Excel or CSV to run sentiment analysis, shortlist engaged followers for outreach, and document social proof for campaign reports. Export author lists to seed custom audiences and lookalikes for paid campaigns.

Key Features

  • Extract all comments from posts/reels
  • Get nested replies and threads
  • Download commenter profiles
  • Filter by date range
  • Bulk extraction from multiple posts

How to Extract Data (Step by Step)

Extracting data using the Instagram Comments Scraper is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

  1. Sign up for free: Create a free ParseFlow account to access professional extraction tools.
  2. Set your parameters: Paste the target URLs into the Instagram Comments Scraper configuration.
  3. Download your data: Click Start, wait a few minutes, and download your dataset as Excel or JSON.
Instagram Comments Scraper

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What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

[
  {
    "url": "https://example.com/data",
    "title": "Sample Extracted Record",
    "extracted_at": "2026-05-20T14:30:00Z"
  }
]