A high-performance Instagram profile scraper that collects post-level data from public profiles with speed and precision. It helps teams analyze Instagram content, engagement, and media at scale without unnecessary overhead.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts posts from public Instagram profiles and returns clean, structured data for analysis and automation. It solves the challenge of collecting large volumes of Instagram post data quickly while keeping costs predictable. It is built for researchers, marketers, analysts, and developers who need reliable Instagram profile data.
- Collects posts from multiple Instagram profiles in a single run
- Designed for high-throughput data extraction with minimal latency
- Focuses on post-level metrics, captions, and media assets
- Scales efficiently for research, monitoring, and analytics workflows
| Feature | Description |
|---|---|
| Multi-profile scraping | Collect posts from many usernames or profile URLs in one run. |
| High-speed extraction | Optimized to retrieve hundreds of posts per minute. |
| Media collection | Extracts image links, video links, and thumbnails per post. |
| Engagement metrics | Captures likes, comments, and verification status. |
| Configurable limits | Control how many posts are collected per profile. |
| Structured output | Clean JSON-ready data for analytics and storage pipelines. |
| Field Name | Field Description |
|---|---|
| id | Unique identifier of the Instagram post. |
| shortcode | Short Instagram code used in post URLs. |
| posted | Human-readable timestamp of when the post was published. |
| caption | Full caption text of the post. |
| likes | Total number of likes on the post. |
| comments | Total number of comments on the post. |
| video_links | Direct links to associated video media. |
| image_links | Direct links to associated image media. |
| thumbnail | Thumbnail image URL of the post. |
| account_username | Username of the profile that published the post. |
| account_verified | Boolean indicating whether the account is verified. |
| account_profile_picture | Profile picture URL of the account. |
[
{
"id": "1234567890123456789_98765432",
"shortcode": "EXAMP1Ev1D3o",
"posted": "01 Jan 2025, 12:00:00 pm",
"caption": "Sunset vibes with furry friends 🐾🌅",
"thumbnail": "https://instagram.examplecdn.net/v/t51.2885-15/example_thumbnail.jpg",
"video_links": [
"https://instagram.examplecdn.net/o1/v/t16/f2/sample_video.mp4"
],
"image_links": [
"https://instagram.examplecdn.net/v/t51.2885-15/sample_image1.jpg",
"https://instagram.examplecdn.net/v/t51.2885-15/sample_image2.jpg"
],
"likes": 12345,
"comments": 678,
"account_verified": true,
"account_username": "exampleuser",
"account_profile_picture": "https://instagram.examplecdn.net/v/t51.2885-19/sample_profile_pic.jpg"
}
]
instagram-profile-scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── profile_posts.py
│ │ └── media_parser.py
│ ├── utils/
│ │ ├── time_utils.py
│ │ └── validators.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── output.sample.json
├── requirements.txt
└── README.md
- Marketing teams use it to analyze Instagram content trends, so they can optimize posting strategies.
- Influencer analysts use it to track engagement metrics, so they can evaluate creator performance.
- Researchers use it to collect caption and media data, so they can study social media behavior.
- Agencies use it to monitor competitors, so they can benchmark engagement growth.
- Developers use it to feed dashboards and analytics tools, so they can automate insights.
Can I scrape multiple Instagram profiles at once? Yes, the scraper supports multiple usernames or profile URLs in a single run, making bulk collection simple and efficient.
Is there a limit on how many posts I can collect per profile? You can configure a maximum number of posts per profile to control dataset size and cost.
Does it include media files or only text data? The scraper extracts captions, engagement metrics, and direct links to images, videos, and thumbnails.
Is the output suitable for analytics tools? Yes, the structured format is designed for easy integration with databases, dashboards, and data pipelines.
Primary Metric: Average throughput of up to 400 Instagram posts per minute under standard conditions.
Reliability Metric: Consistently high success rate across large profile batches with stable extraction behavior.
Efficiency Metric: Low resource usage due to optimized request handling and minimal overhead.
Quality Metric: High data completeness with accurate captions, engagement metrics, and media links per post.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
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