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scrape data from instagram

A ready-to-use boilerplate for building safe, scalable pipelines to scrape data from Instagram with rotating proxies, rate-limit guards, and multi-run orchestration. Perfect for agencies, researchers, and growth teams who need structured exports without the headaches.

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Introduction

A developer-friendly template to collect public Instagram data (profiles, posts, comments, followers) with modular drivers (Playwright/Selenium or headless API wrappers), resilience against blocks, and structured JSON/CSV exports. Built for teams who value compliance-aware, rate-limited scraping.

scrape-data-from-instagram.png

Key Benefits

  1. Saves time and automates setup.
  2. Scalable for multiple use cases.
  3. Safer with anti-detect and proxy logic.

Features must be in table

Feature Description
Configurable Drivers Choose Playwright or Selenium with stealth options.
Proxy & Rotation Supports residential/mobile proxies with per-task rotation.
Rate-Limit Guard Backoff + jitter + human-like delays to reduce blocks.
Data Pipelines Export to JSON/CSV/SQLite; schema-first mapping.
Session Vault Persist cookies/sessions; auto-refresh flows.

Use Cases

  • Competitive research and market analysis
  • Creator/brand discovery and lead enrichment
  • Social listening and hashtag trend tracking
  • Content cataloging and performance benchmarking

FAQs

Q: How do you protect from scraping?
A: This repo includes layered protections: request pacing with randomized backoff, user-agent and viewport variance, proxy rotation per job, and session reuse to lower anomaly spikes. It also supports selective field fetching (only what you need) to minimize request volume and exposure.

Q: Can screen scraping be detected?
A: Yes. Platforms flag patterns like high-frequency requests, identical fingerprints, and repeated navigation flows. Mitigation includes human-like timings, realistic mouse/scroll events (in browser mode), diversified fingerprints, and strict concurrency caps.

Q: What data can you scrape from Instagram?
A: Publicly available items such as profile metadata (bio, external URL, followers/following counts), public posts (captions, media URLs, like/comment counts, timestamps), comments (text, author, time), and hashtag/top-post summaries. Private or gated data is out of scope.


Results


10x faster posting schedules
80% engagement increase on group campaigns
Fully automated lead response system

Performance Metrics


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


Installation

Pre-requisites

  • Node.js or Python
  • Git
  • Docker (optional)

Steps

# Clone the repo
git clone https://github.com/yourusername/scrape-data-from-instagram.git
cd scrape-data-from-instagram

# Install dependencies
npm install
# or
pip install -r requirements.txt

# Setup environment
cp .env.example .env

# Run
npm start
# or
python main.py

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