Instagram Hash Tag Data Scraper collects complete post and user details from Instagram using any public hashtag. It helps marketers, analysts, and researchers gather real-time Instagram hashtag data efficiently and securely for analysis and reporting.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts Instagram posts associated with a specific hashtag and delivers structured, export-ready data. It solves the challenge of collecting large-scale Instagram hashtag insights without manual effort. It is designed for growth marketers, data analysts, and automation professionals.
- Scrapes all posts linked to a given hashtag
- Captures both post-level and user-level metadata
- Uses authenticated session cookies for stability
- Optimized for high-speed, real-time extraction
| Feature | Description |
|---|---|
| Hashtag Search | Scrape all Instagram posts related to any hashtag. |
| Post Metadata | Collect captions, shortcodes, URLs, timestamps, likes, and comments. |
| User Details | Extract Instagram user ID and username for each post. |
| Secure Session | Uses cookie-based authentication to reduce blocking risk. |
| High-Speed Extraction | Processes large volumes of posts with rapid throughput. |
| Multiple Export Formats | Supports Excel, CSV, and text-based outputs. |
| Field Name | Field Description |
|---|---|
| id | Unique Instagram post ID. |
| post_url | Direct URL of the Instagram post. |
| shortcode | Instagram post shortcode identifier. |
| caption | Full caption text of the post. |
| user_id | Unique Instagram user ID. |
| user_name | Instagram username of the post owner. |
| like_count | Total number of likes on the post. |
| comment_count | Total number of comments on the post. |
| timestamp | Unix timestamp of when the post was published. |
| image_url | Direct URL of the post image. |
[
{
"id": "3615622202814936204",
"post_url": "https://www.instagram.com/p/DItRTywzLSM/",
"shortcode": "DItRTywzLSM",
"caption": "@min & @69.xxvuir_ #awexz #bot #imgx",
"user_id": "56191104144",
"user_name": "fak_bot780",
"like_count": 1,
"comment_count": 1,
"timestamp": 1745235775,
"image_url": "https://scontent-iad3-2.cdninstagram.com/example.jpg"
}
]
Instagram Hash Tag Data Scraper/
├── src/
│ ├── main.py
│ ├── hashtag_runner.py
│ ├── extractors/
│ │ ├── post_extractor.py
│ │ └── user_extractor.py
│ ├── auth/
│ │ └── cookie_loader.py
│ ├── exporters/
│ │ ├── csv_exporter.py
│ │ └── excel_exporter.py
│ └── utils/
│ └── time_utils.py
├── data/
│ ├── sample_output.json
│ └── inputs.example.txt
├── requirements.txt
└── README.md
- Digital marketers use it to analyze trending hashtags, so they can optimize campaign targeting.
- Social media analysts use it to monitor engagement metrics, so they can measure hashtag performance.
- Growth hackers use it to collect influencer data, so they can identify outreach opportunities.
- Researchers use it to study content patterns, so they can understand audience behavior.
How does this scraper avoid Instagram blocks? It relies on authenticated session cookies and controlled request timing to reduce detection and blocking risks.
Do I need technical knowledge to use it? Basic understanding of configuration and running scripts is sufficient for most users.
Can it handle large hashtags with thousands of posts? Yes, it is optimized for high-volume hashtags with efficient pagination and processing.
What export formats are supported? The scraper supports Excel, CSV, and plain text outputs for easy integration.
Primary Metric: Processes up to 100 posts per second under stable network conditions.
Reliability Metric: Maintains a high success rate when valid session cookies are provided.
Efficiency Metric: Optimized request handling minimizes resource usage during large runs.
Quality Metric: Captures complete post and user metadata with consistent field accuracy.
