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Product Hunt data, ready to use

Product Hunt daily launch scraper for product discovery and launch data

Know what launched before your next product meeting.

Collect today's Product Hunt launches for a product research brief. Run it from your dashboard, download the result, or keep checking with a monitor.

Check in the dashboard →See what you get
No code required CSV & JSON exports Cost shown before running
MONOCRAWL / RESULTSExample
Product Hunt

Launch shortlist

ProductTopic
Example NotesProductivity
Example MetricsAnalytics
Example StudioDesign
Saved resultsCSV / JSON
Illustrative layout and values. Your results depend on the source and settings.
Your data. Ready for the next step.
Run once Work through a list Monitor on a schedule Use through your agent

Built for useful work

Make the data part
of your next decision.

Review new products in your market and decide which launches deserve a closer look. Save a run when preparing a newsletter, or use periodic snapshots to keep your own research record.

01

Prepare a market briefing

Review the day’s product launches and select the ones relevant to your team. Keep links with your notes for a closer look.

02

Build a newsletter shortlist

Start with a saved set of launches, then add your own testing and editorial judgement before publishing a roundup.

From source to working data

A result you can
actually work with.

Extract today’s featured products with names, descriptions, topics, votes, comment counts and product links.

  • Open your saved run in the dashboard
  • Download CSV for a spreadsheet
  • Export JSON for your own workflow
Explore the output fields
A simple path to your results
Product HuntYour selected source
MonocrawlCollect · save · export
SpreadsheetCSV download
Your workflowJSON export

How it works

Choose the source.
Leave with the data.

Your setup stays in Monocrawl. Start with one run and review the result before doing more.

01

Choose what to collect

Open the template and complete Maximum results. The form shows the supported settings.

02

Review the cost and run

Check the credit quote, then approve the request. A single run gives you a result to inspect before using a larger list.

03

Put the result to work

Return to the saved run, download your data, and bring it into the spreadsheet or workflow you already use.

One template. Three ways to use it.

Start small. Keep going when it’s useful.

Get data once

Run a single request for today’s research, a quick comparison or a one-off export.

Open this scraper

Keep checking

Create a monitor with a schedule and monthly credit cap. Choose email, Slack, Discord or webhook receipts.

Create a monitor

Work through a list

Have several inputs? Run a batch and review its combined quote before approving the work.

Run a list

Scheduled checks use the same collection scope. Change detection is available where the endpoint supports it.

Know the cost before you start

A clear quote.
Data you can come back to.

Review the cost in your dashboard before running. For monitors, you also choose how often to check and how much to spend each month.

Email Slack Discord Webhook

Optional monitor receipts. Connect and select the destinations you want during setup.

A few useful details

Before your first run.

Check the inputs and collection scope, then try a request with the settings that match your task.

Read the endpoint reference
What do I need to enter?
Maximum results required

The first page may contain fewer results than this limit.

Choose a whole number from 1 to 50. Default: 20.

What does this template collect?

Launch records include names, descriptions, topics, votes, comment counts, links, promotion markers and page positions.

Page position is not organic rank. There is no historical date selector, and votes can change during the day.

Reads today’s homepage launch list, including promoted entries. Position means page order, not organic rank. No historical date filter or automatic pagination.

Can I run this as a monitor?

Yes. Choose Create a monitor to repeat the same request on a schedule. Review the creation fee, estimated check cost, delivery options and monthly credit cap before approving. Scheduling does not add automatic pagination or AI analysis.

Where are my results saved?

Dashboard scraper results are retained for 30 days within your 50 MB / 1,000-run allowance. Each saved result has a 2 MB compressed limit. Check its storage status and download data you need to keep longer.

Can I use this through an AI agent?

Yes. Connect your agent to Monocrawl through Integrations. Ask it to use the corresponding scraper, explain the settings and show the cost before running.

Your next step

Put Product Hunt data
to work.

Collect today's Product Hunt launches for a product research brief. Your template is ready in the dashboard.

Check in the dashboard →Choose your inputs. Review the quote. Run.

Keep building your workflow.

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