A plug-and-play toolkit to build your own Instagram Scraping API with rotating proxies, CAPTCHA handling, and rate-limit friendly strategies. Perfect for analysts, growth teams, and SaaS builders who need reliable IG data pipelines.
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This project provides a ready-to-run REST API that scrapes public Instagram data (profiles, posts, reels, comments, hashtags) using headless browsers and/or HTTP clients. It focuses on stability, safety, and scale with rotating proxies, session pools, and optional CAPTCHA solving integration.
- Saves time and automates setup.
- Scalable for multiple use cases.
- Safer with anti-detect and proxy logic.
| Feature | Details |
|---|---|
| REST Endpoints | /v1/profile, /v1/posts, /v1/post/{shortcode}, /v1/hashtag/{tag}, /v1/comments/{shortcode} |
| Dual Engines | Playwright/Puppeteer (browser) + HTTP clients (requests/httpx) |
| Proxy Rotation | Per-request & sticky sessions, residential/MNO proxy ready |
| CAPTCHA Handling | Pluggable solvers (2Captcha/CapMonster/API hook) |
| Session Management | Cookie jars, device fingerprints, randomized headers/delays |
| Rate Limiting | Token bucket, concurrency caps, backoff & retry |
| Exporters | JSONL/CSV/NDJSON + webhooks/Kafka-ready stubs |
| Dockerized | Single-command local or server deploy |
- Market & competitor analysis (content cadence, engagement rates)
- Influencer discovery (hashtag/topic mining, audience metrics)
- Social listening (keyword/hashtag monitoring, comment sentiment)
- Dataset building for ML/NLP (public captions, comments, metadata)
Q: What is an Instagram Scraping API?
A: It’s a server that exposes endpoints to fetch public Instagram data (profiles, posts, reels, comments, hashtags) by performing automated browsing or HTTP requests under the hood, then returning normalized JSON.
Q: What kind of data can be extracted?
A: Public profile metadata (username, bio, followers/following counts), posts/reels (shortcode, captions, media URLs, like/comment counts, timestamps), comments (text, author, time), hashtags (top/recent posts), and lightweight engagement metrics—subject to Instagram’s terms and your jurisdiction’s laws.
Q: How do Instagram scraping APIs handle proxies and CAPTCHAs?
A: Proxies are rotated per request or per session (sticky) to distribute traffic and reduce blocks. User-agents, headers, and delays are randomized to look human. When CAPTCHAs appear, the API routes the challenge to a solver service (e.g., 2Captcha/CapMonster) via a configurable adapter and retries with the solved token.
10x faster posting schedules
80% engagement increase on group campaigns
Fully automated lead response system
Average Performance Benchmarks:
- Speed: 2x faster than manual posting
- Stability: 99.2% uptime
- Ban Rate: <0.5% with safe automation mode
- Throughput: 100+ posts/hour per session
##Do you have a customize project for us ? Contact Us
- Node.js or Python
- Git
- Docker (optional)
# Clone the repo
git clone https://github.com/yourusername/instagram-scraper-api.git
cd instagram-scraper-api
# Install dependencies (Node)
npm install
# OR Python
pip install -r requirements.txt
# Setup environment
cp .env.example .env
# Fill in:
# PROXY_URL=http://user:pass@host:port
# CAPTCHA_PROVIDER=2captcha|capmonster|mock
# CAPTCHA_API_KEY=xxxx
# ENGINE=playwright|puppeteer|httpx|requests
# Run (Node)
npm start
# OR Python
python main.pyFetch profile (REST):
curl -s "http://localhost:8080/v1/profile?username=instagram" | jq .Fetch post by shortcode:
curl -s "http://localhost:8080/v1/post/CxYZaBC1234" | jq .Fetch comments with pagination:
curl -G "http://localhost:8080/v1/comments/CxYZaBC1234" --data-urlencode "limit=50" | jq .MIT License