This scraper pulls Instagram post details and all related comments in a single streamlined run. It helps you gather captions, likes, timestamps, and every comment with user info, making large-scale Instagram analysis surprisingly manageable. Whether you're studying audience behavior or collecting content for research, this tool keeps the process smooth and reliable.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts both Instagram posts and comments in one go. It solves the challenge of gathering scattered post data and nested comment threads while keeping everything organized in a combined dataset. It's built for researchers, analysts, marketers, and anyone who needs structured Instagram data without juggling multiple tools.
- Captures detailed post information alongside every related comment.
- Handles multiple Instagram profiles at once.
- Supports exporting results in several formats.
- Includes full metadata for richer analysis.
- Produces clean, uniform output ready for automation or integration.
| Feature | Description |
|---|---|
| Unified scraping workflow | Collects posts and comments in a single run, reducing overhead. |
| Rich post metadata capture | Extracts captions, timestamps, likes, media info, and tagged users. |
| Full comment extraction | Pulls commenter data, comment text, profile pictures, and more. |
| Multi-profile input | Add one or many profiles at once for batch scraping. |
| Flexible output formats | Export data as JSON, CSV, Excel, XML, or via API. |
| Automation-ready | Supports scheduled runs and programmatic execution. |
| Field Name | Field Description |
|---|---|
| commentText | The text content of the comment. |
| commentatorUserName | Username of the person who posted the comment. |
| commentatorProfilePicUrl | URL of the commenter’s profile image. |
| postInfo.inputUrl | The profile URL used as input. |
| postInfo.id | Unique ID of the Instagram post. |
| postInfo.type | Specifies whether the post is an image, video, etc. |
| postInfo.shortCode | Post shortcode used for direct post linking. |
| postInfo.caption | Main caption text of the post. |
| postInfo.hashtags | List of hashtags used in the caption. |
| postInfo.mentions | List of mentioned usernames. |
| postInfo.url | Direct URL to the post. |
| postInfo.dimensionsHeight | Height of the post media. |
| postInfo.dimensionsWidth | Width of the post media. |
| postInfo.displayUrl | URL for displaying the main media. |
| postInfo.likesCount | Number of likes on the post. |
| postInfo.timestamp | ISO timestamp of when the post was created. |
| postInfo.ownerFullName | Full name of the post owner. |
| postInfo.ownerUsername | Username of the post owner. |
| postInfo.taggedUsers | List of tagged users with metadata. |
[
{
"commentText": "@maddyfulmino STANDING BY THIS TBH",
"commentatorUserName": "_mimimann",
"commentatorProfilePicUrl": "https://scontent-atl3-2.cdninstagram.com/v/...",
"postInfo": {
"inputUrl": "https://www.instagram.com/eltonjohn",
"id": "879248723928966527",
"type": "Image",
"shortCode": "wzuA5TAGV_",
"caption": "Please join us this Sunday ...",
"hashtags": ["ShareTheLove", "EltonJohn", "DavidFurnish"],
"mentions": ["DavidFurnish"],
"url": "https://www.instagram.com/p/wzuA5TAGV_/",
"dimensionsHeight": 640,
"dimensionsWidth": 640,
"displayUrl": "https://instagram.flko7-2.fna.fbcdn.net/...",
"likesCount": 4218,
"timestamp": "2014-12-20T00:17:17.000Z",
"ownerFullName": "Elton John",
"ownerUsername": "eltonjohn",
"taggedUsers": [
{
"full_name": "Elton John",
"id": "1604340024",
"is_verified": true,
"profile_pic_url": "https://instagram.flko7-4.fna.fbcdn.net/...",
"username": "eltonjohn"
}
]
}
}
]
Export Instagram Comments and Posts/
├── src/
│ ├── main.js
│ ├── utils/
│ │ ├── instagram_client.js
│ │ ├── data_cleaner.js
│ │ └── validator.js
│ ├── extractors/
│ │ ├── posts_extractor.js
│ │ └── comments_extractor.js
│ ├── outputs/
│ │ └── formatter.js
│ └── config/
│ └── input.schema.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── tests/
│ ├── posts.test.js
│ └── comments.test.js
├── package.json
├── .gitignore
└── README.md
- Researchers use it to collect structured Instagram interaction data, so they can analyze social behavior trends.
- Marketing teams use it to evaluate audience responses, helping them refine campaign strategies.
- Influencer managers use it to archive comment sentiment, allowing them to track engagement quality.
- Journalists use it to gather historical post and comment data for reporting or investigation.
- Developers integrate it into automation pipelines to keep content datasets refreshed.
Does this scraper require login? It runs without login for public profiles. Private profiles require proper authorization, and the tool won't bypass any access restrictions.
Can it handle very large profiles? Yes. It processes high-volume profiles by batching posts and comments, keeping memory usage predictable.
What output formats are supported? You can export data as JSON, CSV, Excel, XML, or fetch it programmatically through an API.
Is scraping Instagram allowed? Use it responsibly and ensure compliance with Instagram’s terms and relevant data regulations.
Primary Metric: On average, the scraper processes 50–80 posts per minute, including all associated comments, depending on media size and network conditions.
Reliability Metric: Steady completion rate above 98 percent during long batch runs due to internal retry logic.
Efficiency Metric: Optimized request sequencing keeps resource usage low while maintaining consistent throughput.
Quality Metric: Data completeness typically exceeds 95 percent, capturing nearly every visible comment and post detail without duplication.
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