Instagram Account Scraper

Instagram account scraper - profiles, posts, reels, stories, emails

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A powerful Python tool to scrape Instagram profiles, posts, reels, stories, hashtags, followers, and emails. Export to JSON, CSV, or Excel. Built for data analysts, marketers, and researchers.

Overview

Instagram Account Scraper is a Python library and CLI tool that lets you scrape public Instagram account data programmatically. It retrieves profile information, recent posts, reels, stories, hashtags, follower lists, and even extracts email addresses from bios and captions.

Whether you're doing competitor analysis, lead generation, social media research, or building a marketing pipeline, this tool provides a clean, typed API and a full-featured command line interface.

Why This Scraper?

Feature	This Tool	Manual Instagram Browsing	Other Scrapers
Batch scrape multiple accounts	Yes	No	Limited
Export to JSON / CSV / Excel	Yes	No	Partial
Extract emails from bios & posts	Yes	No	Rare
Scrape reels and stories	Yes	No	Limited
Rate limiting & retry logic	Yes	N/A	Partial
Proxy support	Yes	N/A	Some
Typed data models	Yes	N/A	No
CLI + Python API	Yes	N/A	One or the other
Open source (MIT)	Yes	N/A	Rare

Features

Profile Scraping

Username, full name, bio, external URL
Follower count, following count, post count
Verified badge, business account, business category
Profile picture URL (standard + HD)
Private/public status

Post & Reel Scraping

Recent posts (photos, carousels, videos)
Post captions, hashtags, mentions
Like count, comment count, view count
Post timestamps and locations
Media URLs (images and videos)
Tagged users
Reel-specific data (play count, duration, music info)

Story Scraping (Login Required)

Active stories from any account you follow
Story media URLs and types
Story timestamps and durations

Hashtag Scraping

Top posts for any hashtag
Post count for the hashtag
Recent posts with full metadata

Follower & Following Lists (Login Required)

Get follower usernames
Get following usernames
Batch processing with progress bars

Email Extraction

Scrape emails from profile bios
Scrape emails from post captions
Unique email deduplication

Data Export

JSON (with proper Unicode support)
CSV (Excel-compatible)
Excel (via openpyxl)
Custom field selection

Developer Features

Typed dataclasses for all data models
Built-in rate limiting with random delays
Automatic retry with exponential backoff
Proxy support
Session persistence for login
Progress bars for batch operations
Comprehensive error handling with custom exceptions
Full type hints (Python 3.9+)

Installation

Option 1: pip install (Recommended)

pip install instagram-account-scraper

Option 2: Install from source

git clone https://github.com/data-scrape/instagram-account-scraper.git
cd instagram-account-scraper
pip install -e .

Option 3: Install with optional dependencies

# For Excel export
pip install instagram-account-scraper[excel]

# For development
pip install instagram-account-scraper[dev]

# Install everything
pip install instagram-account-scraper[all]

Prerequisites

Python 3.9 or higher
instaloader (installed automatically as a dependency)
openpyxl (optional, for Excel export)

Verify your installation:

ig-scraper --version

Quick Start

Scrape a Profile (No Login Required)

# Get profile info as JSON
ig-scraper profile nasa

# Save to file
ig-scraper profile nasa --output nasa_profile.json

# Export as CSV
ig-scraper profile nasa --format csv --output nasa.csv

Scrape Recent Posts

# Get 10 recent posts
ig-scraper posts nasa --limit 10 --output nasa_posts.json

# Get only reels
ig-scraper posts nasa --reels --limit 5

Batch Scrape Multiple Accounts

Create a text file accounts.txt:

nasa
natgeo
natgeotravel
discovery

ig-scraper batch accounts.txt --limit 5 --output results.json

Scrape with Login (For Private Data)

ig-scraper --login youruser yourpass posts private_account --limit 20

Extract Emails from a Business Account

ig-scraper emails somebusiness --posts 50 --output emails.json

CLI Usage

Full Command Reference

Command	Description	Login Required
`ig-scraper profile <username>`	Get profile information	No
`ig-scraper posts <username> [--limit N]`	Get recent posts	No
`ig-scraper reels <username> [--limit N]`	Get recent reels	No
`ig-scraper stories <user1> <user2> ...`	Get active stories	Yes
`ig-scraper hashtag <tag> [--limit N]`	Get posts by hashtag	No
`ig-scraper followers <username> [--limit N]`	Get follower list	Yes
`ig-scraper following <username> [--limit N]`	Get following list	Yes
`ig-scraper emails <username> [--posts N]`	Extract email addresses	No
`ig-scraper batch <file> [--limit N]`	Batch scrape from file	No
`ig-scraper all <username> [--posts N]`	Scrape everything for one account	No

Global Options

Option	Description	Default
`--login USERNAME PASSWORD`	Instagram credentials	None
`--session FILE`	Session file path	`~/.ig_scraper_session`
`--proxy URL`	Proxy server	None
`--output FILE`	Output file path	stdout
`--format json\|csv\|excel`	Output format	json
`--delay SECONDS`	Rate limit delay	2.0
`--quiet`	Suppress progress output	False
`--debug`	Enable debug logging	False

CLI Examples

# Scrape profile and save as Excel
ig-scraper profile natgeo --format excel --output natgeo.xlsx

# Scrape 50 posts with 5-second delay
ig-scraper posts nasa --limit 50 --delay 5.0 --output nasa_posts.json

# Use proxy for scraping
ig-scraper --proxy http://user:pass@proxy:8080 profile nasa

# Batch scrape with quiet mode
ig-scraper batch accounts.txt --limit 10 --quiet --output results.json

# Scrape hashtag posts
ig-scraper hashtag travel --limit 30 --output travel_hashtag.json

# Get followers (requires login)
ig-scraper --login user pass followers nasa --limit 500

Python API

Basic Profile Scraping

from ig_scraper import InstagramScraper

# Initialize without login (public data only)
scraper = InstagramScraper()

# Scrape a profile
profile = scraper.get_profile("nasa")

print(f"Name: {profile.full_name}")
print(f"Followers: {profile.followers:,}")
print(f"Following: {profile.following:,}")
print(f"Posts: {profile.posts_count:,}")
print(f"Bio: {profile.biography}")
print(f"Verified: {profile.is_verified}")
print(f"Business: {profile.is_business}")

Scraping Posts

from ig_scraper import InstagramScraper

scraper = InstagramScraper()

# Get 10 most recent posts
posts = scraper.get_posts("nasa", limit=10)

for post in posts:
    print(f"Post {post.shortcode}")
    print(f"  Likes: {post.like_count:,}")
    print(f"  Comments: {post.comment_count:,}")
    print(f"  Type: {post.post_type}")
    print(f"  Hashtags: {', '.join(post.hashtags)}")
    print(f"  URL: {post.post_url}")
    print()

Scraping Reels

scraper = InstagramScraper()

# Get 10 most recent reels
reels = scraper.get_reels("nasa", limit=10)

for reel in reels:
    print(f"Reel {reel.shortcode}")
    print(f"  Views: {reel.view_count:,}")
    print(f"  Likes: {reel.like_count:,}")
    print(f"  Duration: {reel.duration:.1f}s")
    if reel.music_title:
        print(f"  Music: {reel.music_title} - {reel.music_artist}")
    print()

Batch Scraping

scraper = InstagramScraper()

usernames = ["nasa", "natgeo", "natgeotravel", "discovery"]
results = scraper.batch_scrape(usernames, posts_limit=5)

for result in results:
    if result.get("profile"):
        p = result["profile"]
        print(f"@{p.username}: {p.followers:,} followers, {p.posts_count:,} posts")

Email Extraction

scraper = InstagramScraper()
emails = scraper.extract_emails("somebusiness", posts_limit=50)

print(f"Found {len(emails)} emails:")
for email in emails:
    print(f"  {email}")

Hashtag Scraping

scraper = InstagramScraper()
hashtag = scraper.get_hashtag_posts("travel", limit=20)

print(f"#{hashtag.hashtag}: {hashtag.post_count:,} total posts")
for post in hashtag.top_posts:
    print(f"  @{post.owner}: {post.like_count:,} likes")

With Login (Private Data, Stories, Followers)

scraper = InstagramScraper(
    username="your_username",
    password="your_password",
)

# Now you can access private profiles you follow
posts = scraper.get_posts("private_account", limit=20)

# Get active stories
stories = scraper.get_stories(["friend1", "friend2"])
for username, user_stories in stories.items():
    print(f"@{username}: {len(user_stories)} active stories")

# Get followers
followers = scraper.get_followers("your_account", limit=500)
print(f"Found {len(followers)} followers")

Export to Multiple Formats

from ig_scraper import InstagramScraper

scraper = InstagramScraper()
profile = scraper.get_profile("nasa")

# JSON
json_data = profile.to_json()
print(json_data)

# Save to JSON file
scraper.export_profile(profile, format="json", output="nasa.json")

# CSV
scraper.export_profile(profile, format="csv", output="nasa.csv")

# Excel (requires openpyxl)
scraper.export_profile(profile, format="excel", output="nasa.xlsx")

Data Models

Profile

Field	Type	Description
`username`	str	Instagram username
`user_id`	str	Instagram user ID
`full_name`	str	Display name
`biography`	str	Bio text
`external_url`	str	External link in bio
`followers`	int	Follower count
`following`	int	Following count
`posts_count`	int	Total post count
`is_private`	bool	Private account
`is_verified`	bool	Verified badge
`is_business`	bool	Business account
`business_category`	str	Business category
`profile_pic_url`	str	Profile picture URL
`profile_pic_hd_url`	str	HD profile picture URL
`cached_at`	str	ISO timestamp of scrape

Post

Field	Type	Description
`shortcode`	str	Post shortcode (e.g., `CABC123`)
`owner`	str	Owner username
`caption`	str	Post caption text
`post_url`	str	Full post URL
`post_type`	str	GraphImage, GraphVideo, or GraphSidecar
`like_count`	int	Number of likes
`comment_count`	int	Number of comments
`view_count`	int	Video view count
`timestamp`	str	ISO timestamp
`location`	str	Location name
`media_urls`	list	List of media URLs
`tagged_users`	list	Tagged usernames
`hashtags`	list	Hashtags in caption
`mentions`	list	@mentions in caption

Reel

Field	Type	Description
`shortcode`	str	Reel shortcode
`owner`	str	Owner username
`caption`	str	Reel caption
`video_url`	str	Video URL
`thumbnail_url`	str	Thumbnail URL
`view_count`	int	View count
`like_count`	int	Like count
`comment_count`	int	Comment count
`play_count`	int	Play count
`duration`	float	Duration in seconds
`timestamp`	str	ISO timestamp
`music_title`	str	Music track title
`music_artist`	str	Music artist name

Export Formats

JSON Export

{
  "username": "nasa",
  "user_id": "528817151",
  "full_name": "NASA",
  "biography": "There's space for everybody. ✨",
  "followers": 85000000,
  "following": 81,
  "posts_count": 3500,
  "is_private": false,
  "is_verified": true,
  "is_business": true,
  "cached_at": "2026-08-05T14:00:00"
}

CSV Export

Automatically generates Excel-compatible CSV with proper UTF-8 encoding.

Excel Export

Requires openpyxl:

pip install openpyxl

Use Cases

1. Competitor Analysis

scraper = InstagramScraper()

competitors = ["brand1", "brand2", "brand3"]
for username in competitors:
    profile = scraper.get_profile(username)
    print(f"@{username}: {profile.followers:,} followers, "
          f"{profile.posts_count:,} posts")

2. Lead Generation (Email Extraction)

scraper = InstagramScraper()

# Extract emails from business accounts in your niche
accounts = ["business1", "business2", "business3"]
all_emails = []

for account in accounts:
    emails = scraper.extract_emails(account, posts_limit=50)
    all_emails.extend(emails)

print(f"Total unique emails: {len(set(all_emails))}")

3. Hashtag Research

scraper = InstagramScraper()

hashtags = ["travel", "wanderlust", "travelgram"]
for tag in hashtags:
    data = scraper.get_hashtag_posts(tag, limit=20)
    print(f"#{tag}: {data.post_count:,} posts")
    avg_likes = sum(p.like_count for p in data.top_posts) / len(data.top_posts)
    print(f"  Avg likes: {avg_likes:.0f}")

4. Content Audit

scraper = InstagramScraper()
posts = scraper.get_posts("your_brand", limit=50)

total_likes = sum(p.like_count for p in posts)
total_comments = sum(p.comment_count for p in posts)

print(f"Total likes: {total_likes:,}")
print(f"Total comments: {total_comments:,}")
print(f"Engagement rate: {(total_likes + total_comments) / 50:.1f} per post")

5. Follower Analysis (Login Required)

scraper = InstagramScraper(username="user", password="pass")
followers = scraper.get_followers("your_account", limit=1000)

print(f"Retrieved {len(followers)} followers")
# Export for further analysis
import json
with open("followers.json", "w") as f:
    json.dump(followers, f, indent=2)

Configuration

Environment Variables

# Set default session file location
export IG_SCRAPER_SESSION=/path/to/session

# Set default proxy
export IG_SCRAPER_PROXY=http://user:pass@proxy:8080

# Set default rate limit delay
export IG_SCRAPER_DELAY=3.0

Configuration File

Create ~/.ig_scraper_config.json:

{
  "rate_limit_delay": 2.5,
  "max_retries": 3,
  "session_file": "~/.ig_scraper_session",
  "proxy": null,
  "user_agent": "Mozilla/5.0 (compatible; IGScraper/1.0)"
}

Rate Limiting & Best Practices

Instagram enforces rate limits on API access. This tool includes built-in protections:

Built-in Protections

Random delay between requests (1-3 seconds by default)
Exponential backoff on failures (retry up to 3 times)
Session persistence to avoid repeated logins
Progress bars for batch operations

Recommendations

Use session persistence - Login once, save the session, reuse it
Add delays for large batches - Use --delay 5.0 or higher
Use proxies for large-scale scraping - Rotate IPs to avoid blocks
Respect private accounts - Don't attempt to bypass privacy settings
Cache results - Save scraped data to avoid re-scraping

# Good: Cache results and add delays
scraper = InstagramScraper(rate_limit_delay=5.0)

usernames = ["nasa", "natgeo", "natgeotravel"]
for username in usernames:
    profile = scraper.get_profile(username)
    # Save each result immediately
    with open(f"{username}.json", "w") as f:
        f.write(profile.to_json())

Proxy Support

Use a proxy to avoid IP-based rate limiting:

HTTP/HTTPS Proxy

scraper = InstagramScraper(
    proxy="http://user:pass@proxy.example.com:8080"
)

SOCKS5 Proxy

scraper = InstagramScraper(
    proxy="socks5://user:pass@proxy.example.com:1080"
)

Proxy Rotation

For large-scale scraping, use a proxy rotation service:

import random

proxies = [
    "http://proxy1:8080",
    "http://proxy2:8080",
    "http://proxy3:8080",
]

for username in large_username_list:
    proxy = random.choice(proxies)
    scraper = InstagramScraper(proxy=proxy)
    profile = scraper.get_profile(username)

Frequently Asked Questions

Is this tool legal to use?

This tool scrapes publicly available Instagram data. You are responsible for complying with Instagram's Terms of Service, applicable laws, and data protection regulations (GDPR, CCPA) in your jurisdiction. See the Disclaimer section.

Do I need to log in to Instagram?

No. You can scrape public profiles, posts, reels, hashtags, and emails without logging in. However, stories, follower lists, and following lists require authentication.

Will this get my Instagram account banned?

There is always a risk when scraping Instagram. To minimize risk:

Use session persistence instead of repeated logins
Add delays between requests (--delay 5.0)
Use proxies for large-scale scraping
Don't scrape thousands of profiles in one session
Use a dedicated Instagram account (not your personal one)

What data can I scrape without logging in?

Profile information (name, bio, follower count, etc.)
Recent posts (photos, videos, carousels)
Reels
Hashtag posts
Email addresses from bios and captions

What data requires login?

Stories (active stories from accounts you follow)
Follower lists
Following lists
Private profiles (that you follow)

How many profiles can I scrape per day?

This depends on your rate limiting, proxy setup, and Instagram's current rate limits. With proper delays (3-5 seconds between requests) and no proxy, expect ~100-200 profiles per day. With proxy rotation, you can scale higher.

Can I scrape Instagram Stories?

Yes, but you must be logged in and follow the account whose stories you want to scrape.

Does this work with Instagram's Graph API?

No. This tool uses instaloader, which accesses Instagram's web/mobile interface, not the official Graph API. The Graph API requires an approved Facebook App and is limited to business accounts.

Can I export data to Excel?

Yes. Install openpyxl and use --format excel:

pip install openpyxl
ig-scraper profile nasa --format excel --output nasa.xlsx

How do I handle Instagram's 2FA?

If your account has two-factor authentication enabled, the scraper may not be able to log in programmatically. Use a dedicated Instagram account without 2FA, or manually create a session file.

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Development Setup

git clone https://github.com/data-scrape/instagram-account-scraper.git
cd instagram-account-scraper
pip install -e ".[dev]"
pytest

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=ig_scraper

# Run specific test file
pytest tests/test_scraper.py

Changelog

See CHANGELOG.md for version history.

v1.0.0 (2026-08-05)

Initial release
Profile, post, reel, story, hashtag scraping
Follower/following list scraping
Email extraction from bios and captions
CLI tool with 10 subcommands
JSON, CSV, Excel export
Rate limiting, retry logic, proxy support
Batch scraping with progress bars

License

This project is licensed under the MIT License - see LICENSE for details.

Disclaimer

This tool is for educational and research purposes only. Users are responsible for:

Compliance with Instagram's Terms of Service - Automated scraping may violate Instagram's ToS.
Data protection laws - Ensure compliance with GDPR, CCPA, and other applicable data protection regulations.
Ethical use - Do not use scraped data for harassment, spam, or illegal activities.
Rate limiting - Respect Instagram's servers and use appropriate delays.

The authors of this tool are not responsible for any consequences of its use, including account suspension, IP bans, or legal action by Instagram or third parties.

Use at your own risk.

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⭐ Support This Project

If this tool helped you, please consider:

⭐ Star this repository — Click here to star
📧 Share with your network — Help others discover this tool
🐛 Report issues — Open an issue if you find a bug
📚 Contribute — PRs are welcome! See CONTRIBUTING.md

👉 Ready to scrape more platforms?

Check out all our scrapers:

Instagram · Google Maps · Amazon · TikTok · YouTube · LinkedIn · eBay · Reddit · Apify Alternative

Name		Name	Last commit message	Last commit date
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.github/workflows		.github/workflows
docs		docs
examples		examples
src/ig_scraper		src/ig_scraper
tests		tests
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
setup.py		setup.py

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Instagram Account Scraper

💎 Sponsored by CoreClaw

Table of Contents

Overview

Why This Scraper?

Features

Profile Scraping

Post & Reel Scraping

Story Scraping (Login Required)

Hashtag Scraping

Follower & Following Lists (Login Required)

Email Extraction

Data Export

Developer Features

Installation

Option 1: pip install (Recommended)

Option 2: Install from source

Option 3: Install with optional dependencies

Prerequisites

Quick Start

Scrape a Profile (No Login Required)

Scrape Recent Posts

Batch Scrape Multiple Accounts

Scrape with Login (For Private Data)

Extract Emails from a Business Account

CLI Usage

Full Command Reference

Global Options

CLI Examples

Python API

Basic Profile Scraping

Scraping Posts

Scraping Reels

Batch Scraping

Email Extraction

Hashtag Scraping

With Login (Private Data, Stories, Followers)

Export to Multiple Formats

Data Models

Profile

Post

Reel

Export Formats

JSON Export

CSV Export

Excel Export

Use Cases

1. Competitor Analysis

2. Lead Generation (Email Extraction)

3. Hashtag Research

4. Content Audit

5. Follower Analysis (Login Required)

Configuration

Environment Variables

Configuration File

Rate Limiting & Best Practices

Built-in Protections

Recommendations

Proxy Support

HTTP/HTTPS Proxy

SOCKS5 Proxy

Proxy Rotation

Frequently Asked Questions

Is this tool legal to use?

Do I need to log in to Instagram?

Will this get my Instagram account banned?

What data can I scrape without logging in?

What data requires login?

How many profiles can I scrape per day?

Can I scrape Instagram Stories?

Does this work with Instagram's Graph API?

Can I export data to Excel?

How do I handle Instagram's 2FA?

Contributing

Development Setup

Running Tests