A modern automation toolkit that allows you to extract data, posts, followers, reels, and insights from Instagram safely and efficiently.
For discussion, queries, and freelance work — reach out 👆
instagram-scraperhelps you gather public Instagram data — including posts, reels, followers, captions, and analytics — without relying on official APIs.
It’s built for marketers, analysts, and developers who want to automate Instagram data workflows at scale.
- Extracts reels, posts, and profile data efficiently.
- Works with rotating proxies for safer scraping.
- Supports CSV/JSON export for analytics.
- Handles bulk accounts and hashtag scraping.
- Fully scriptable and extendable.
| Feature | Description |
|---|---|
| Reel & Post Scraping | Extract reels, captions, hashtags, and likes. |
| Profile Scraping | Get bios, followers, and engagement rates. |
| Hashtag Explorer | Automate hashtag-based discovery. |
| Proxy Rotation | Stay undetected with residential/mobile proxies. |
| Export Options | Save results in CSV, JSON, or database. |
- Social media analytics
- Influencer tracking
- Market research and competitor monitoring
- Content automation pipelines
Q: Can you boost a reel on Instagram?
A: Yes. You can boost a reel directly from your Instagram app if it’s posted from a professional or business account. Tap on your reel, select “Boost post,” choose your audience, budget, and duration, then launch the promotion. This converts your reel into an ad visible to more users — ideal for increasing reach, followers, or sales conversions.
10x faster data collection
Real-time insight tracking
API-less automation
Average Benchmarks:
- Speed: 2x faster than manual extraction
- Stability: 99% uptime
- Ban Rate: <0.5% with proxy rotation
- Throughput: 10K+ records/day
Contact Us
- Python 3.9+
- Git
- Docker (optional)
# Clone the repo
git clone https://github.com/yourusername/instagram-scraper.git
cd instagram-scraper
# Install dependencies
pip install -r requirements.txt
# Setup environment
cp .env.example .env
# Run
python main.py