This project lets you extract follower data from any public Instagram profile at scale. It’s built for analysts, social marketers, and developers who need fast, structured follower datasets without dealing with rate-limit issues or unstable scraping tools.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Instagram Follower Scraper automates the collection of follower information — usernames, full names, verification status, and profile images — while gracefully handling Instagram’s request throttling. It’s designed for lead gen, audience analysis, or competitive monitoring and outputs clean data ready for dashboards or enrichment pipelines.
- Quickly gather structured follower data from public Instagram profiles
- Avoid manual collection delays and API restrictions
- Build follower intelligence datasets for marketing, sales, or research
- Export results directly into workflows, CRMs, or analytical tools
| Feature | Description |
|---|---|
| Public Profile Scraping | Extracts followers from any accessible Instagram profile. |
| Rich Follower Details | Captures username, full name, verification badge, and profile image. |
| Automatic Rate-Limit Handling | Maintains stable scraping speeds without triggering blocks. |
| Speed Optimized | Can reach up to 1000 followers per minute under ideal conditions. |
| Flexible Export | Download data in JSON, CSV, or Excel formats for downstream use. |
| Field Name | Field Description |
|---|---|
| username | The follower’s Instagram handle. |
| fullName | Display name listed on the follower profile. |
| isVerified | Boolean flag showing if the follower is verified. |
| profilePicture | URL of the profile image. |
| profileUrl | Direct link to the Instagram profile. |
[
{
"username": "creative.studio",
"fullName": "Creative Studio",
"isVerified": false,
"profilePicture": "https://instagram.fra1.cdn/image123.jpg",
"profileUrl": "https://instagram.com/creative.studio"
}
]
Instagram Follower Scraper/
├── src/
│ ├── main.js
│ ├── ig/
│ │ ├── login_handler.js
│ │ ├── follower_scraper.js
│ │ └── paginator.js
│ ├── utils/
│ │ ├── rate_limiter.js
│ │ └── output_formatter.js
│ └── config/
│ └── settings.example.json
├── data/
│ └── sample_output.json
├── package.json
└── README.md
- Marketers extract follower segments for audience research and targeting.
- Lead generators build lists of potential customers who follow competitor brands.
- Influencer agencies evaluate follower quality and authenticity.
- Developers enrich datasets by linking follower profiles to other tools or APIs.
- Researchers study community structure, engagement potential, and audience overlap.
Does it require login?
No — it works with publicly visible profiles. Private profiles cannot be scraped.
Can I limit how many followers to extract?
Yes — you can set a maximum follower count to control runtime and costs.
Will it get blocked by Instagram?
The scraper uses built-in rate-limiting logic to reduce blocking risks, but extremely high-volume runs may still be throttled.
Which export formats are supported?
JSON, CSV, and Excel are available for easy import into any workflow.
Primary Metric:
Scrapes up to ~1000 followers per minute depending on network stability and target profile size.
Reliability Metric:
Consistently maintains progress even under rate-limit conditions using adaptive request pacing.
Efficiency Metric:
Optimized follower pagination reduces redundant calls and lowers processing overhead.
Quality Metric:
Produces clean, deduped follower records with essential metadata suitable for analytics or enrichment.
