Instagram is one of the most data-rich social platforms, making it a valuable source for analytics, research, and automation. Because of this, many developers explore building an instagram scraper to collect structured information such as followers, posts, comments, and profile details.
In this blog, we break down an open-source Instagram scraper GitHub repository
https://github.com/wurstframarl97k2/instagram-scraper
and explain how Instagram scraping works, what type of data can be collected, and how developers typically use scrapers responsibly.
What This Repository Does
The Instagram Scraper repository
https://github.com/wurstframarl97k2/instagram-scraper
is a script-based project designed to extract publicly available data from Instagram accounts.
At a high level, this repository allows developers to:
- Scrape Instagram profiles
- Extract followers and following data
- Build an instagram data scraper
- Experiment with instagram web scraper logic
It acts as a foundation for tools such as:
- Instagram follower scraper
- Instagram profile scraper
- Instagram post scraper
- Instagram account scraper
Key Features
This repository provides essential scraping capabilities, including:
- Script-based instagram scraper
- Support for scrape Instagram followers
- Profile and post data extraction
- Extendable scraping logic
- Open-source and customisable code
With additional development, it can be adapted for:
- Instagram comment scraper
- Instagram email scraper
- Instagram scraper API
- Instagram scraper tool workflows
Project Structure Overview
The repository follows a clean, modular structure:
- Scraping scripts
- Data parsing logic
- Output handling (CSV / JSON)
- Configuration files
This layout supports advanced use cases such as:
- Instagram scraper python
- Instagram scraper GitHub projects
- Instagram-scraper style automation tools
How Instagram Scraping Works (Step-by-Step)
A typical instagram scraper built from this repository
https://github.com/wurstframarl97k2/instagram-scraper
follows this process:
Target Definition
Profiles, posts, or hashtags are selected.Session or Request Setup
The scraper prepares requests or browser sessions.Data Extraction
HTML or API responses are parsed to extract data.Data Structuring
Scraped Instagram data is cleaned and formatted.Output Storage
Data is saved for analysis or automation.
This same flow is used to:
- Scrape Instagram posts
- Scrape Instagram comments
- Scrape Instagram followers
- Scrape Instagram data at scale
Installation & Setup
To run this Instagram scraper GitHub project locally:
git clone https://github.com/wurstframarl97k2/instagram-scraper
cd instagram-scraper
pip install -r requirements.txt
python main.py
Before running:
- Start with public accounts
- Keep scraping volumes low
- Monitor request behaviour
All setup details are available in the repository
https://github.com/wurstframarl97k2/instagram-scraper
Common Instagram Scraping Use Cases
Developers commonly use scrapers like this to:
- Scrape Instagram followers
- Scrape Instagram posts
- Scrape Instagram comments
- Scrape Instagram photos
- Build free Instagram scraper prototypes
- Analyse Instagram scraped data
This repository is also useful for learning:
- How to scrape Instagram
- How to scrape Instagram data
- How to scrape data from Instagram
- How to scrape Instagram followers safely
About Emails & Sensitive Data
Many searches involve:
- Scrape emails from Instagram
- Instagram email scraper
It’s important to note:
- Email data is often private or restricted
- Scraping sensitive data can violate platform rules
- This repository demonstrates scraping patterns, not privacy bypassing
Limitations & Things to Know
Important limitations of this repository:
- Dependent on Instagram’s page structure
- May break if Instagram updates its UI
- No built-in proxy or rotation
- Intended for educational and research use
This is not a commercial best Instagram scraper, but a development foundation.
Who Should Use This Repo?
This repository is suitable for:
- Developers learning instagram scraper python
- Engineers building internal research tools
- Analysts exploring instagram scrape workflows
- Teams experimenting with instagram scraper tool logic
You can explore the full project here
https://github.com/wurstframarl97k2/instagram-scraper
Conclusion
This Instagram Scraper GitHub repository provides a solid foundation for understanding how Instagram scraping works at a technical level. While scraping must always be done responsibly and within platform limits, projects like this help developers learn how to extract, structure, and analyse public Instagram data.
If you’re researching how to scrape Instagram data, building an Instagram follower scraper, or experimenting with Instagram scraper Python workflows, this repository
https://github.com/wurstframarl97k2/instagram-scraper
is a strong educational starting point.
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