Instagram Comment Scraper(by Post URL)

What is Instagram Comments Scraper?

The Instagram Comments Scraper lets you extract structured comment data from public Instagram posts using one or more Post URLs. Just paste the target links, run the scraper, and collect comments, replies, and engagement metrics in a structured format. It is built for user feedback analysis, brand reputation monitoring, competitor research, and comment data collection at scale.

• Scrape comments from multiple posts in one run
• Extract comment text, replies, and engagement fields
• Link commenter data with post-level information
• Well suited for sentiment analysis and audience research
• Export results in CSV or JSON

Compared with manually reading comment threads, this scraper makes it much faster to collect public Instagram comment data at scale and turn it into structured output for analysis, monitoring, and reporting.

Common use cases for the Instagram Comments Scraper

1. Comment sentiment analysis: Collect comment text, likes, and reply data in bulk to identify audience concerns, recurring themes, and sentiment patterns.
2. Brand reputation monitoring: Track comments on brand-owned posts to understand public perception, controversy, and feedback trends.
3. Competitor engagement research: Analyze the tone, structure, and behavior of conversations happening under competitor content.
4. Social listening workflows: Extract comments, nested replies, and interaction metrics to support trend analysis and public opinion monitoring.
5. Comment data archiving: Turn comment threads into structured datasets for cleaning, clustering, search, and database storage.

What data can you extract from Instagram?

How to scrape Instagram data

The Instagram Comments Scraper is designed to be simple to use, so you can start extracting data quickly even without prior scraping experience.

1. Sign up and create your CoreClaw account with your email address.
2. Open the Instagram Comments Scraper (Post URL version).
3. Add one or more Instagram Post URLs.
4. Make sure the links point to publicly accessible post pages.
5. Click Start and wait for the extraction to finish.
6. Review the structured output and download the results as CSV or JSON.

➡️ Input

Enter the Instagram Post URL you want to scrape comments from. Example URL: https://www.instagram.com/reel/DWK3Ku9jDpZ/?igsh=MTl5aTllaXd0ZXZiNQ==

This scraper is best for cases where you already know the exact post you want to analyze and need a fast way to extract comment-thread data, such as user feedback analysis, competitor comment research, or brand reputation monitoring.

Supported input:

• post_url: The Instagram post URL to scrape comments from.

Recommended inputs: Brand post URLs, competitor post URLs, trending content URLs Not recommended: Profile URLs, Reel listing pages, private post links, or invalid redirect URLs

⬅️ Output

When the run is complete, the collected Instagram comment data is organized under the Output tab as a structured dataset. For easier review, results are typically shown in a table-like view and can be downloaded in CSV or JSON format.

Table example

JSON example

[
  {
    "profile_url": "https://www.instagram.com/espn",
    "url": "https://www.instagram.com/p/DOZ-go3DGjh",
    "user_posted": "espn",
    "description": "He caught it while holding his chair ",
    "hashtags": [],
    "num_comments": 184,
    "date_posted": 1757473324,
    "likes": 25291,
    "photos": [
      "https://scontent.cdninstagram.com/v/t51.71878-15/543829556_1310792300435790_1026912828547409527_n.jpg"
    ],
    "videos": [
      "https://instagram.fjrs26-1.fna.fbcdn.net/o1/v/t2/f2/m86/example.mp4"
    ],
    "location": "",
    "latest_comments": [
      {
        "comments": "Yeah I’m in the MLB… kinda.",
        "user_commenting": "lacebeats",
        "likes": null,
        "profile_picture": "https://instagram.fjrs27-1.fna.fbcdn.net/v/t51.2885-19/example.jpg"
      }
    ],
    "post_id": "3718277889151232225",
    "has_handshake": "",
    "shortcode": "DOZ-go3DGjh",
    "content_type": "clips",
    "pk": "3718277889151232225",
    "content_id": "DOZ-go3DGjh",
    "engagement_score_view": "",
    "thumbnail": "https://scontent.cdninstagram.com/v/t51.71878-15/example.jpg",
    "video_view_count": "",
    "product_type": "clips",
    "coauthor_producers": [],
    "tagged_users": [
      {
        "full_name": "SportsCenter",
        "id": "505182045",
        "is_verified": true,
        "profile_pic_url": "https://instagram.fjrs27-1.fna.fbcdn.net/v/t51.2885-19/example.jpg",
        "username": "sportscenter"
      }
    ],
    "video_play_count": "",
    "followers": 28293636,
    "posts_count": 66409,
    "profile_image_link": "https://instagram.fjrs27-1.fna.fbcdn.net/v/t51.2885-19/example.jpg",
    "is_verified": true,
    "is_paid_partnership": false,
    "partnership_details": "",
    "user_posted_id": "1320207",
    "post_content": "",
    "audio": {
      "audio_asset_id": "1121841733227215",
      "original_audio_title": "Original audio",
      "ig_artist_username": "espn",
      "ig_artist_id": "1320207"
    },
    "videos_duration": [
      {
        "video_duration": "PT24.966667S",
        "url": "https://instagram.fjrs26-1.fna.fbcdn.net/o1/v/t2/f2/m86/example.mp4"
      }
    ],
    "images": [],
    "alt_text": "",
    "photos_number": 0,
    "input": {
      "url": "https://www.instagram.com/reel/DOZ-go3DGjh/"
    }
  }
]

FAQ

Is this scraper suitable for sentiment analysis?

Yes. Because it captures comment text, likes, replies, and nested interaction data, it works well for sentiment analysis, complaint detection, keyword clustering, and broader audience feedback research.

Can it extract replies as well as top-level comments?

Yes. The current field set includes both reply counts and reply content, which makes it useful for analyzing deeper discussion threads rather than only surface-level comments.

How is a comments scraper different from a post scraper?

A post scraper focuses on the post itself, such as captions, media, and top-level engagement metrics. A comments scraper is centered on audience feedback, comment content, and reply structure, making it better for conversation-level analysis.

Is it useful for social listening workflows?

Yes. This scraper is a strong fit for social listening because it can extract public comments, nested replies, and interaction signals that support trend analysis and public opinion monitoring.

Can it help identify comments around specific keywords or hashtags?

Yes. Since the output includes comment text and hashtags used in comments, it can support filtering, topic detection, and targeted comment analysis around specific themes.

Which tools work best with the exported data?

CSV is ideal for Excel, Google Sheets, and BI dashboards. JSON is better for databases, scripts, NLP pipelines, and automated analytics workflows.

Is the data returned in real time?

Yes. The current tool description indicates that each request retrieves live public Instagram data rather than relying on cached output.