Business Contact Enrichment — Instantly Get Name, Title, Email, Phone & LinkedIn Profile
Back to Blog

10 Best Instagram Scraper Tools for Data Extraction in 2026

Compare 10 Instagram scraper tools for extracting public profiles, posts, Reels, comments, hashtags, engagement data, and structured exports.

Last Updated · 2026-07-28 · Lena Kovalenko

10 Best Instagram Scraper Tools for Data Extraction in 2026

An Instagram Scraper converts publicly accessible profile, post, Reel, comment, hashtag, and engagement information into structured data. Marketing teams use these datasets for influencer discovery, competitor research, campaign analysis, trend monitoring, and audience research.

The tools below serve different needs. Some provide ready-made no-code workflows, while others focus on APIs, browser automation, managed infrastructure, or AI-assisted extraction. Teams that need profiles, posts, Reels, and comments can explore CoreClaw’s Instagram Scraper tools, which provide purpose-built Workers for different public Instagram data types.

What Data Can an Instagram Scraper Extract?

A capable Instagram Scraper may collect:

  • Profile names, usernames, biographies, IDs, categories, and websites
  • Follower, following, and post counts
  • Post captions, hashtags, dates, likes, and comment counts
  • Reel views, audio details, engagement, and media links
  • Comment text, replies, timestamps, and commenter information
  • Source URLs, collection dates, and extraction status

Not every tool supports every field. Teams should choose a scraper designed for the required page type instead of assuming that one general tool can retrieve complete profiles, posts, Reels, and comment threads.

For influencer discovery and account research, the Instagram Profile Scraper can collect public usernames, biographies, websites, profile categories, follower counts, following counts, and post totals from known profile URLs.

Which Instagram Scraper Tools Are Best in 2026?

Tool

Best For

Main Interface

CoreClaw

Clean no-code exports

Ready-made Workers and API

Bright Data

Enterprise data pipelines

Dedicated scraping APIs

Apify

Flexible cloud automation

Actors and API

Lobstr

Detailed no-code datasets

Cloud scrapers

Data365

Social-data applications

API

PhantomBuster

Prospecting workflows

Cloud automations

Decodo

Managed social scraping

API

ScrapeGraphAI

Prompt-based extraction

AI API

ScrapingBee

Custom developer workflows

Web scraping API

Zyte

Managed enterprise projects

API and data services

What Are the 10 Best Instagram Scraper Tools?

1. CoreClaw

10 Best Instagram Scraper Tools for Data Extraction in 2026

CoreClaw provides separate ready-made Workers for public Instagram profiles, posts, Reels, and comments. Users can submit URLs, run tasks without coding, filter structured results, and export data in CSV, JSON, JSONL, Excel, XML, HTML, or RSS.

Best for: Business users, agencies, researchers, and developers that want ready-to-use Instagram data without maintaining scraping infrastructure.

Key advantage: Separate Workers make it easier to collect only the data required for a project.

2. Bright Data

10 Best Instagram Scraper Tools for Data Extraction in 2026

Bright Data provides dedicated Instagram endpoints for profiles, posts, Reels, comments, hashtags, followers, and images. It supports bulk requests, structured outputs, and managed proxy, parsing, and access infrastructure.

Best for: Enterprise teams building high-volume social-media data pipelines.

Consideration: Its technical infrastructure may be more extensive than a small spreadsheet project needs.

3. Apify

10 Best Instagram Scraper Tools for Data Extraction in 2026

Apify’s Instagram Actors can process profiles, posts, comments, hashtags, locations, mentions, photos, and Reels. Users can run Actors through a browser interface, API, schedules, webhooks, and external workflow integrations.

Best for: Technical teams that need configurable cloud automation.

Consideration: Data schemas, maintenance, and pricing can differ between marketplace Actors.

4. Lobstr

10 Best Instagram Scraper Tools for Data Extraction in 2026

Lobstr offers dedicated tools for Instagram profiles, posts, Reels, and comments. It supports no-code runs, scheduling, APIs, and delivery to CSV, JSON, Google Sheets, cloud storage, or email.

Best for: Analysts who want detailed exports without creating a custom scraper.

Consideration: Teams should test field and comment coverage on representative URLs.

5. Data365

10 Best Instagram Scraper Tools for Data Extraction in 2026

Data365 provides API-based access to public profiles, posts, comments, hashtags, locations, and engagement metrics. It is designed for social monitoring, analytics platforms, and structured data applications.

Best for: Developers creating social-listening or audience-analysis products.

Consideration: Non-technical users may require development support.

6. PhantomBuster

10 Best Instagram Scraper Tools for Data Extraction in 2026

PhantomBuster provides individual automations for profiles, posts, commenters, tagged content, and likers. These automations can be combined with spreadsheets and prospecting workflows.

Best for: Influencer prospecting, sales research, and multi-step growth automation.

Consideration: Some workflows may require an authenticated Instagram session.

7. Decodo

10 Best Instagram Scraper Tools for Data Extraction in 2026

Decodo offers a Social Media Scraping API for public Instagram and other platform data. It manages proxies, browser fingerprints, access challenges, and parsing before returning structured output.

Best for: API-first teams that do not want to maintain scraping infrastructure.

Consideration: Cleaning, qualification, and reporting remain part of the user’s downstream workflow.

8. ScrapeGraphAI

10 Best Instagram Scraper Tools for Data Extraction in 2026

ScrapeGraphAI uses natural-language instructions to identify and extract selected fields from public pages. It can support flexible profile and engagement-data workflows without manually defining every selector.

Best for: Developers testing prompt-based or AI-assisted extraction.

Consideration: Flexible extraction should be validated carefully when page layouts or output requirements are complex.

9. ScrapingBee

10 Best Instagram Scraper Tools for Data Extraction in 2026

ScrapingBee provides a general web scraping API with JavaScript rendering, proxy rotation, browser actions, geotargeting, and AI extraction capabilities.

Best for: Developers building custom Instagram extraction and processing logic.

Consideration: Users must define, validate, and maintain the required output schema.

10. Zyte

10 Best Instagram Scraper Tools for Data Extraction in 2026

Zyte provides APIs and managed data-extraction services for public web and social-media projects. It is designed for organizations that need standardized delivery, technical support, and recurring collection.

Best for: Enterprise teams outsourcing complex data pipelines.

Consideration: It may be excessive for one-time exports or small creator-research projects.

Which Instagram Scraper Is Best for Your Use Case?

Choose CoreClaw when the team wants a direct no-code path to specialized profile, post, Reel, or comment datasets with structured exports.

Bright Data and Zyte are more suitable for enterprise infrastructure. Apify provides strong customization and integrations, while Lobstr emphasizes accessible cloud-based exports. Data365 fits applications that require structured social data, and PhantomBuster works well for prospecting sequences.

For short-form video research, the Instagram Reels Scraper can collect public creator information, hashtags, engagement metrics, comments, media details, and source data from known Reel URLs.

ScrapeGraphAI, ScrapingBee, and Decodo are more suitable when developers need control over extraction logic, schemas, and downstream processing.

How Can You Export Cleaner Instagram Data?

Begin with a limited group of representative URLs. Confirm that the selected Instagram Scraper returns the required IDs, timestamps, media information, engagement metrics, and source URLs before expanding the project.

Keep raw and cleaned datasets separate. Standardize usernames, timestamps, URLs, hashtags, and numerical engagement fields. Remove duplicates using profile, post, Reel, or comment IDs rather than captions or usernames alone.

Use the Instagram Post Scraper when a project starts with known post URLs and requires captions, author information, engagement metrics, hashtags, media details, and structured exports.

For sentiment analysis, community research, and campaign reporting, the Instagram Comment Scraper collects publicly visible comments and replies from Instagram posts and Reels.

Important datasets should still be sample-checked. Public counts and content may change, and extraction success does not guarantee that every record is complete or suitable for a business decision.

Is It Safe to Use an Instagram Scraper?

Instagram restricts unauthorized automated access and data collection. Teams should review the platform’s current terms, provider policies, privacy requirements, and applicable laws before starting a project.

Collect only necessary public information. Avoid private or login-restricted content, sensitive profiling, harassment, unwanted mass outreach, or attempts to identify private individuals.

Businesses should also preserve source URLs and collection dates so records can be reviewed, updated, or removed when necessary.

Final Thoughts

The best Instagram Scraper depends on whether the project needs a spreadsheet, a configurable automation, or a production API.

CoreClaw provides a practical option for teams that prefer purpose-built Workers instead of one generic scraper. Public profiles, posts, Reels, and comments can be collected as cleaned and filtered structured data, then exported to CSV, Excel, or JSON for influencer discovery, campaign analysis, competitor monitoring, and internal research.

Frequently Asked Questions

Lena Kovalenko

Lena Kovalenko

Content Writer @CoreClaw · Last Updated 2026-07-28

Lena Kovalenko researches how modern software systems expose and organize information online. Her writing focuses on the interaction between APIs, web platforms, and automated data workflows. When exploring a topic she typically compares multiple tools to understand their design assumptions. These comparisons often lead to articles that help readers see how different technical approaches influence reliability and efficiency.

View Author Profile →

Disclaimer: All information on the CoreClaw Blog is provided “as is” and for informational purposes only. CoreClaw makes no representations and assumes no liability for any consequences arising from your use of information published on the CoreClaw Blog or on any third-party websites linked from it. Before any scraping activity, consult legal counsel, review the target website’s terms of service, and obtain permission where required.

Related Articles