Quick Answer: The fastest way to export Product Hunt comments is with the Comment Exporter Chrome extension. Navigate to any Product Hunt launch page, click the extension, and download comments as CSV or JSON -- including commenter names, dates, upvotes, and full reply threads. No coding, no API keys, no OAuth setup.
Why Product Hunt Data Matters
Product Hunt is where early adopters discover and discuss new products. Every day, dozens of products launch on the platform -- and the comment threads that follow are filled with unfiltered feedback from people who actually try things.
Those comments contain data you cannot get anywhere else. Users post feature requests, pricing reactions, competitive comparisons, and detailed first impressions -- all within hours of a product going live. That is real-time market research, sitting in plain text.
Three groups benefit the most from this data:
- ✓Founders doing competitive research: Before building a feature, check how users reacted when a competitor launched something similar. Product Hunt comments tell you what worked, what fell flat, and what people wished existed instead.
- ✓VCs evaluating products: Comment sentiment on launch day is a leading indicator. A product with 200 upvotes but skeptical comments is a different signal than one with 80 upvotes and enthusiastic feedback. The numbers alone do not tell the full story -- the comments do.
- ✓Marketers tracking launches: Product Hunt discussions reveal how audiences talk about categories, what messaging resonates, and which product angles generate the most engagement. That is positioning data you can use directly.
The problem is that Product Hunt does not offer any built-in export. You can scroll through comments on the page. That is it. No CSV download, no bulk export, no structured data output.
What Data Can You Extract from Product Hunt?
Product Hunt comments and launch pages carry more structured data than most people realize. Here is what is available:
| Field | Description | Why It Matters |
|---|
| Comment text | The full written comment or reply | Primary source of qualitative feedback on the product |
| Commenter name | The Product Hunt username of the commenter | Identifies who is giving feedback -- makers, hunters, or regular users |
| Date | Timestamp of when the comment was posted | Shows how discussion evolved over the launch day and beyond |
| Upvotes | Number of upvotes on the comment | Surfaces the comments the community agrees with most |
| Reply threads | Nested responses under parent comments | Captures back-and-forth between makers and users -- where the best insights live |
| Product details | Product name, tagline, and description | Provides context for the comments and enables cross-product analysis |
The reply threads are where the real value sits. Makers often respond to feature requests and pricing questions directly in the comments. Those maker-to-user exchanges contain product strategy signals that do not exist anywhere else in public.
Method 1: Chrome Extension (Comment Exporter)
The Comment Exporter Chrome extension supports Product Hunt alongside 10 other platforms -- including Reddit, YouTube, Amazon, Steam, Facebook, and more. It works directly in your browser. No coding, no API credentials, no OAuth tokens.
Product Hunt is included in the All Access plan at $49.99/month or $299/year.
Step-by-Step Walkthrough
- ✓Install the extension: Visit the Comment Exporter page on the Chrome Web Store and click "Add to Chrome." Installation takes about 10 seconds.
- ✓Navigate to a Product Hunt launch page: Open the Product Hunt product page you want to analyze. This is the page with the discussion thread -- for example,
producthunt.com/posts/product-name. Make sure the comment section is visible.
- ✓Open the extension and start scraping: Click the Comment Exporter icon in your browser toolbar. The extension detects the Product Hunt page and begins collecting comments -- loading reply threads and scrolling through the full discussion automatically.
- ✓Choose your format and download: Once scraping is complete, select CSV or JSON and save the file. Open the CSV in Excel, Google Sheets, or any data tool. Every field from the table above is included as a column.
Most Product Hunt launches have between 20 and 300 comments. The extension captures them in under a minute. High-profile launches with 500+ comments take slightly longer, but the process is the same -- one click, then wait for the download.
Pros
- ✓No coding or technical setup required
- ✓No API key or OAuth credentials needed
- ✓Captures all metadata -- commenter names, dates, upvotes, reply threads
- ✓One-click export to CSV or JSON
- ✓Works on any Product Hunt product page with a discussion thread
- ✓Also works on 10 other platforms with the same extension
Cons
- ✓Requires the Chrome browser (not available on Firefox or Safari)
- ✓Product Hunt scraping requires the All Access plan ($49.99/mo)
Best for: Founders, marketers, and analysts who need structured comment data from Product Hunt launches without writing code or dealing with API authentication.
Method 2: Product Hunt API (GraphQL)
Product Hunt provides an official API built on GraphQL. It gives you programmatic access to posts, comments, votes, and user profiles. But it comes with setup overhead that goes beyond what most non-developers want to deal with.
What You Need to Get Started
- ✓
Register an application: Go to api.producthunt.com/v2/docs and create a developer application. You will receive a client ID and client secret.
- ✓
Authenticate via OAuth: Product Hunt uses OAuth 2.0. You need to exchange your credentials for an access token before making any API calls. This involves sending a POST request to the token endpoint with your client ID, client secret, and grant type.
- ✓
Write a GraphQL query: Unlike REST APIs, Product Hunt uses GraphQL -- which means you write queries that specify exactly what fields you want. Here is a sample query that fetches comments for a specific post:
{
post(slug: "product-name") {
name
tagline
votesCount
comments(first: 50) {
edges {
node {
body
createdAt
votesCount
user {
name
username
}
replies(first: 20) {
edges {
node {
body
createdAt
user {
name
}
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
}
- ✓
Handle pagination: The API returns comments in pages. Use the endCursor from pageInfo to fetch the next batch. You need to loop through pages until hasNextPage is false.
- ✓
Convert to CSV: The API returns JSON. You need to write code to flatten the nested comment and reply structure into rows and columns, then write to a CSV file.
Pros
- ✓Free to use with no per-request charges
- ✓Fully programmable -- automate daily exports or feed into databases
- ✓Access to data beyond comments: votes, user profiles, collections, topics
- ✓GraphQL lets you request only the fields you need
Cons
- ✓Requires coding knowledge (Python, JavaScript, or similar)
- ✓OAuth 2.0 setup adds 15-30 minutes before you can make your first API call
- ✓GraphQL has a learning curve if you are used to REST APIs
- ✓Rate limits apply -- the API throttles requests if you exceed the allowed volume
- ✓No built-in CSV output -- you must write the conversion yourself
- ✓Nested reply threads require recursive queries, adding complexity to your script
Best for: Developers building automated pipelines who need to pull Product Hunt data on a schedule or integrate it into internal tools.
Method 3: Manual Copy-Paste
The most basic approach -- open a Product Hunt discussion, select comments, and paste them into a spreadsheet. No tools, no code, no cost.
How It Works
- ✓Open the Product Hunt page: Navigate to the product launch page with the comments you want.
- ✓Expand all replies: Click through "Show replies" links to reveal nested threads. Product Hunt collapses replies by default, so you need to manually expand each one.
- ✓Select and copy: Highlight the comment text, commenter name, and any other visible metadata. Paste into a Google Sheet or Excel file.
- ✓Repeat for each comment: Go through the thread one comment at a time.
Pros
- ✓Free -- no tools, no subscriptions
- ✓No technical knowledge required
- ✓Works right now with no setup
Cons
- ✓Does not scale -- a launch with 100+ comments takes over an hour to copy manually
- ✓No structured data -- you lose metadata like upvote counts, timestamps, and user profile links
- ✓Nested replies are difficult to capture in the correct thread order
- ✓Formatting breaks when pasting into spreadsheets
- ✓Prone to human error -- missed comments, duplicated rows, inconsistent formatting
Best for: One-off tasks where you need 5-10 specific comments from a single launch thread and do not need structured metadata.
Comparison Table
| Feature | Chrome Extension | Product Hunt API | Manual Copy-Paste |
|---|
| Setup time | 1 minute | 30-60 minutes | None |
| Coding required | No | Yes (GraphQL + OAuth) | No |
| Comments captured | All visible on page | All (via pagination) | As many as you copy |
| Metadata included | Yes (full) | Yes (full) | Limited (manual entry) |
| Export format | CSV, JSON | JSON (needs conversion) | Unstructured text |
| Reply threads | Captured automatically | Requires recursive queries | Must expand and copy manually |
| Maintenance | None (handled by extension) | Low (API versioning) | None |
| Cost | $49.99/mo (All Access) | Free | Free |
| Best for | Most users | Developers | One-off tasks |
Use Cases for Product Hunt Comment Data
Once you have comments in a structured format, here is what you can do with them.
Competitive Intelligence
Export comments from a competitor's Product Hunt launch. Look for what users praised, what they criticized, and what features they asked for. If 15 out of 80 comments mention a missing integration -- that is a gap you can fill in your own product.
This works best when you export comments from 3-5 competing products in the same category. Patterns emerge quickly. Common complaints across multiple launches point to industry-wide problems worth solving.
Product Validation
Before building a new feature or product, check how the Product Hunt community reacted when someone else launched something similar. A launch with 300 upvotes but comments filled with "I already use X for this" tells you something different than one with 50 upvotes and comments like "I have been waiting for exactly this."
Comment sentiment is a better validation signal than upvote count alone. Export the comments, read through them, and gauge whether the audience is excited or skeptical.
Market Research
Track Product Hunt launches across a specific category -- say, AI writing tools or developer productivity apps. Export comments from 10-20 launches over a quarter. You will see which features users mention most, which pricing models generate pushback, and which product angles get the warmest reception.
This is trend data that market research firms charge thousands of dollars for. On Product Hunt, it is sitting in public comment threads.
Content Strategy
Product Hunt comments reveal what topics early adopters care about in their own words. Export comments from launches in your niche, and look for recurring questions and concerns. Those are blog post topics, landing page angles, and ad copy themes -- sourced directly from your target audience.
If users keep asking "does this work with Notion?" in AI tool launches, that tells you what integration content to write about. If pricing objections dominate comments, that tells you what landing page section needs the most attention.
Frequently Asked Questions
Does Comment Exporter work on Product Hunt?
Yes. Comment Exporter supports Product Hunt as one of its 11 platforms. Navigate to any Product Hunt product or launch page, click the extension, and export comments to CSV or JSON. Product Hunt is included in the All Access plan at $49.99/month or $299/year.
What data is included in a Product Hunt export?
Each export includes the comment text, commenter name, comment date, upvote count, reply threads (nested responses), and product details such as the product name and tagline. All fields export as columns in CSV or as structured keys in JSON.
Can I export from any Product Hunt page?
The extension works on Product Hunt product pages and launch discussion pages where comments are visible. Navigate to the product page with the discussion thread you want to capture, and the extension will detect and collect the comments displayed on that page.
Is the Product Hunt API free?
The Product Hunt API is free to use, but it requires OAuth 2.0 authentication and uses GraphQL. There are rate limits, and you need to register a developer application to get API credentials. Building a working export script requires coding knowledge and familiarity with GraphQL queries.
How many comments can I export from a Product Hunt launch?
With Comment Exporter, you can export all comments visible on the Product Hunt discussion page. Most launches have between 20 and 300 comments. High-profile launches can exceed 500 comments. The extension captures them all, including nested reply threads.
About the author
Daniel is the founder of Adlicio. He builds the scrapers behind it and uses them daily to turn customer comments and reviews into ad angles.