Extract, analyze, and automate Instagram data collection for business and marketing growth.
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A complete automation tool to scrape posts, followers, hashtags, and engagement data from Instagram for research, analytics, and marketing growth.
- Fast, structured data collection
- Compatible with API and browser scraping
- Scalable across accounts with proxy support
- Real-time analytics for business intelligence
- No-code or low-code configuration options
| Feature | Description |
|---|---|
| Post Scraper | Extract post data including captions, likes, comments, and hashtags |
| Profile Scraper | Fetch user bio, followers, following count, and engagement metrics |
| Hashtag Scraper | Monitor popular hashtags and trend performance |
| Comment Scraper | Collect user comments for sentiment and feedback analysis |
| Proxy Support | Avoid rate limits and detection during scraping |
- Competitor analysis for marketing agencies
- Influencer identification and engagement tracking
- Content performance benchmarking
- Lead generation and audience segmentation
- Market research and growth analytics
Q: What are the best tools for Instagram scraping?
A: Some of the most effective tools include InstaScraper, Apify, Octoparse, Phantombuster, and Bright Data. For developers, frameworks like Playwright or Selenium with Python or Node.js provide flexibility and full control.
Q: Can scraping Instagram help with business growth?
A: Yes. Scraping Instagram allows businesses to collect valuable data such as audience demographics, engagement metrics, trending hashtags, and competitor activity — all of which can inform smarter content strategies and better marketing ROI.
10x faster data collection
80% accuracy improvement in analytics
Real-time competitor intelligence
Average Performance Benchmarks:
- Speed: 2x faster than manual extraction
- Stability: 99.4% uptime
- Ban Rate: <0.3% with proxy rotation
- Throughput: 5k+ profiles/hour
Contact Us
- Node.js or Python
- Git
- Docker (optional)
# Clone the repo
git clone https://github.com/yourusername/instagram-scrape.git
cd instagram-scrape
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Setup environment
cp .env.example .env
# Run
npm start
# or
python main.pyScraping user: @influencer_name
Followers: 12,034
Average Likes: 2,143
Top Hashtags: #marketing #socialmedia #growthMIT License