Instagram comments can reveal far more than likes or view counts. They show what users think about a product, what questions they repeatedly ask, how they respond to campaigns, and which topics generate real discussion.
However, manually reviewing comments becomes inefficient when a project involves multiple posts, Reels, creators, or competitor accounts. An Instagram comment scraper helps collect publicly available comments and organize them into structured data for research and analysis.
Depending on the tool, users may collect:
- Comment text
- Usernames
- Comment dates
- Likes and replies
- Post or Reel URLs
- Comment IDs
- Public profile information
Below are some of the best tools for scraping Instagram comments in 2026.
1. CoreClaw
Best for no-code Instagram comment scraping
CoreClaw is designed for users who want to collect Instagram comments without developing or maintaining their own scraper.
To Scrape Instagram Comments, users can add public Instagram post or Reel URLs, set the desired number of results, and run the task. The collected data can then be reviewed or exported in a structured format.
The workflow is straightforward and does not require coding, proxy configuration, or browser automation setup. This makes it suitable for marketing teams, researchers, agencies, and analysts who mainly want usable comment data rather than a complex scraping infrastructure.
Advantages
- No coding required
- Supports public posts and Reels
- Collects comments and replies
- Suitable for batch URL processing
- Offers structured export options
- Can support recurring workflows through API access
Limitation
Users generally need to know which posts or Reels they want to analyze. Teams that first need to discover large numbers of relevant posts may require another research tool.
Best for: Non-technical teams, agencies, researchers, and marketers.
2. Apify
Best for customizable scraping and automation
Apify provides ready-made cloud scrapers known as Actors. Its Instagram comment tools can collect comments from public post and Reel URLs and return structured results.
The main advantage of Apify is flexibility. Users can run tasks manually, schedule them, connect them through APIs, or include comment extraction in a larger workflow.
For example, a team could first collect Instagram posts, send the URLs into a comment scraper, save the results in a database, and then use another system to classify sentiment or identify recurring topics.
Advantages
- Scheduling and API support
- Multiple export formats
- Suitable for automated workflows
- Can connect with other scraping tasks
- Useful for developers and non-developers
Limitation
Apify offers tools from multiple developers, so pricing, output fields, reliability, and maintenance quality may vary.
Best for: Automation specialists, analysts, developers, and teams with customized workflows.
3. PhantomBuster
Best for spreadsheet-based social media workflows
PhantomBuster provides browser-based automations for collecting and organizing social media data.
Its Instagram comment automation can process lists of post URLs and export the results into formats such as CSV or JSON. It can also work with Google Sheets, making it useful for teams already managing influencer campaigns, content lists, or competitor research in spreadsheets.
PhantomBuster is especially useful when comment extraction is connected to additional social media or sales automation tasks.
Advantages
- Works well with Google Sheets
- Supports lists of post URLs
- Can connect with other automations
- Suitable for recurring marketing workflows
- Accessible to users without advanced coding skills
Limitation
Users may need to connect an Instagram session, and automation volume must be managed carefully.
Best for: Agencies, influencer teams, recruiters, and spreadsheet-focused marketers.
4. Bright Data
Best for enterprise and high-volume projects
Bright Data provides managed scraping infrastructure for organizations that need to collect larger volumes of social media data.
Its Instagram scraping services can support comments, posts, Reels, and profile data. The platform manages many technical challenges, including proxies, request handling, and structured data delivery.
Bright Data is more suitable for businesses building social-listening platforms, market-research systems, or recurring data pipelines than for users who only need a small one-time export.
Advantages
- Suitable for large-scale collection
- API and structured data delivery
- Managed scraping infrastructure
- Supports recurring production workflows
- Covers multiple Instagram data types
Limitation
The platform may be more complex and expensive than necessary for smaller teams.
Best for: Enterprises, SaaS platforms, data teams, and high-volume research projects.
5. ScrapeCreators
Best for developers building social data products
ScrapeCreators provides API-based access to data from Instagram and other major social networks.
Developers can use it to collect structured profile, post, Reel, comment, and engagement data without maintaining their own browser automation or proxy infrastructure.
Its multi-platform approach is useful for teams building analytics dashboards, social-listening products, or internal research tools.
Advantages
- Developer-friendly API
- Supports several social platforms
- Suitable for applications and dashboards
- No scraper infrastructure to maintain
- Useful for real-time workflows
Limitation
It is mainly designed for technical users. Non-developers may prefer a visual tool such as CoreClaw.
Best for: Developers, startups, SaaS companies, and technical marketing teams.
6. Instagram Graph API
Best for managing comments on owned content
The official Instagram Graph API is suitable for eligible businesses and creators that need to access or manage comments on their own authorized Instagram content.
It can support tasks such as retrieving comments, replying to users, moderating discussions, and connecting comment activity with customer-support systems.
However, it is not designed as a general tool for collecting comments from any public Instagram account.
Advantages
- Official Meta solution
- Suitable for owned Instagram accounts
- Supports replies and moderation
- Useful for customer service workflows
- Appropriate for approved business applications
Limitation
Access is limited to authorized accounts and media, making it unsuitable for broad competitor or market research.
Best for: Brands and developers managing their own professional Instagram accounts.
How Businesses Use Instagram Comment Data
Comment data can support several practical business activities.
Sentiment analysis
Teams can group comments into positive, negative, neutral, or mixed categories to understand audience response to campaigns, products, or announcements.
Campaign evaluation
Comments can show whether users understood the message, which product features attracted attention, and what concerns appeared after a campaign launched.
Competitor research
Analyzing public competitor comments may reveal recurring complaints, customer expectations, product gaps, and reactions to new launches.
Influencer analysis
Meaningful discussions can provide a stronger signal of audience quality than follower counts alone. Comment data helps teams evaluate whether engagement is relevant, repetitive, or potentially automated.
Cross-platform research
Instagram comments can also be combined with public information from other platforms. For example, a team may use a facebook profile scraper for an approved Facebook research workflow while separately analyzing Instagram discussions around the same market or audience.
Final Thoughts
Instagram comment scrapers can turn large public discussions into structured data for sentiment analysis, campaign research, competitor monitoring, and audience insights.
For most non-technical users, CoreClaw offers the simplest starting point. Apify and PhantomBuster provide greater automation flexibility, while Bright Data and ScrapeCreators are better suited to technical or large-scale projects.
The best choice depends on the number of posts being analyzed, the required data fields, technical resources, and how the results will be used.
I am Amelia 35-year-old expert blogger and SEO specialist with a passion for crafting engaging, high-quality content. With years of experience in digital marketing and writing, I blend creativity with strategy to help websites grow. My work reflects insight, authenticity, and a love for connecting ideas through words.
