Product Hunt Products Scraper

Extract complete Product Hunt product data across categories in a fast, reliable, automated workflow. Collect core product details, review metrics, category labels, tags, launch metadata, and profile links in structured output. Ideal for market intelligence, product research, monitoring, and analytics pipelines.

Features

• Rich Product Profiles — Capture IDs, slugs, names, taglines, images, and product URLs
• Review And Popularity Metrics — Collect ratings, review counts, detailed reviews, and follower signals
• Category And Tag Coverage — Export category names, category slugs, and topic tags for segmentation
• Launch Metadata — Include launch post ID and launch schedule timestamps
• Fast Multi-Page Collection — Gather results from multiple category pages with configurable limits
• Clean Output Structure — Get analysis-ready JSON records for BI tools, spreadsheets, and automations

Use Cases

Market Intelligence

Track which products gain traction in specific Product Hunt categories. Compare popularity, reviews, and engagement metrics to identify emerging opportunities.

Competitor Monitoring

Build competitor watchlists and monitor growth signals over time. Use ratings, followers, and launch activity to spot momentum changes quickly.

Startup Discovery

Find promising startups by category and tag clusters. Prioritize products with strong social proof for outreach, partnerships, or investment research.

Content And Newsletter Research

Source trending tools and launches for editorial calendars. Use categories and tags to curate focused lists for niche audiences.

Product Database Enrichment

Populate internal product directories with consistent structured records. Sync output into Airtable, Sheets, warehouses, or internal dashboards.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Custom Product Hunt topic/listing URL. If set, it overrides category.
category	String	No	"productivity"	Product Hunt category slug used to build the start listing URL.
results_wanted	Integer	No	20	Maximum number of products to return (1+).
max_pages	Integer	No	0	Optional safety cap. Set 0 for automatic pagination until target/end.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional proxy configuration for reliability.

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Output Data

Each dataset item contains:

Field	Type	Description
id	String	Unique Product Hunt product ID
slug	String	Product slug
name	String	Product name
description	String	Product tagline/summary
tagline	String	Product tagline
url	String	Product Hunt product URL
image_url	String	Product image URL
logo_uuid	String	Product logo UUID
upvotes	Number	Product popularity score
rating	Number	Average review rating
reviews	Number	Review count
reviews_count	Number	Review count alias
detailed_reviews_count	Number	Count of detailed reviews
founder_reviews_count	Number	Founder review count
founder_shoutouts	Number	Founder shoutout count
followers_count	Number	Follower count
posts_count	Number	Launch/post count
launch_post_id	String	Latest launch post ID
launch_scheduled_at	String	Latest launch scheduled timestamp
is_top_product	Boolean	Whether listed as top product
is_subscribed	Boolean	Viewer subscription state
is_no_longer_online	Boolean	Whether product is flagged offline
categories	Array	Category names
category	Array	Category names alias
category_slugs	Array	Category slugs
tags	Array	Product tags
scraped_at	String	ISO timestamp of extraction

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Usage Examples

Basic Category Collection

Collect products from the default category with automatic pagination:

{
  "category": "productivity",
  "results_wanted": 20
}

High-Volume Category Run

Collect a larger dataset for analytics or enrichment:

{
  "category": "artificial-intelligence",
  "results_wanted": 100
}

Custom Topic URL

Run directly from a specific Product Hunt listing URL:

{
  "startUrl": "https://www.producthunt.com/topics/developer-tools",
  "results_wanted": 50
}

Proxy Configuration

Use proxy configuration for improved reliability:

{
  "category": "saas",
  "results_wanted": 60,
  "max_pages": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

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Sample Output

{
  "id": "109920",
  "slug": "figma",
  "name": "Figma",
  "description": "The collaborative interface design tool",
  "tagline": "The collaborative interface design tool",
  "url": "https://www.producthunt.com/products/figma",
  "image_url": "https://ph-files.imgix.net/db00a7a1-6778-4e51-a953-de5a9a339bc9.jpeg?auto=format&fit=crop",
  "logo_uuid": "db00a7a1-6778-4e51-a953-de5a9a339bc9.jpeg",
  "upvotes": 10010,
  "rating": 4.92,
  "reviews": 1364,
  "reviews_count": 1364,
  "detailed_reviews_count": 721,
  "founder_reviews_count": 0,
  "founder_shoutouts": 0,
  "followers_count": 10010,
  "posts_count": 18,
  "launch_post_id": "1000100",
  "launch_scheduled_at": "2025-09-20T00:01:00-07:00",
  "is_top_product": true,
  "is_subscribed": false,
  "is_no_longer_online": false,
  "categories": ["Team collaboration software", "Design tools"],
  "category": ["Team collaboration software", "Design tools"],
  "category_slugs": ["team-collaboration", "design-tools"],
  "tags": ["vector editing", "prototyping", "design systems"],
  "scraped_at": "2026-02-14T00:00:00.000Z"
}

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Tips for Best Results

Start With Focused Categories

• Use specific category slugs for higher relevance
• Run separate tasks for each category to keep datasets clean
• Compare results across categories for trend mapping

Balance Volume And Runtime

• Start with 20-50 results for testing
• Increase to 100 when your pipeline is validated
• Keep max_pages as 0 for auto mode unless you want a hard safety cap

Build Better Segmentation

• Use categories, category_slugs, and tags together
• Combine rating and review metrics for quality scoring
• Use launch_scheduled_at for time-based trend analysis

Reliability At Scale

• Enable proxy settings for long or frequent runs
• Schedule regular runs for consistent monitoring
• Store results in downstream tools for historical analysis

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Integrations

Connect your data with:

• Google Sheets — Build shareable product tracking sheets
• Airtable — Create searchable product research databases
• BigQuery — Analyze large product datasets with SQL
• Make — Automate enrichment and alert workflows
• Zapier — Trigger follow-up actions from new records
• Webhooks — Stream output to your internal services

Export Formats

• JSON — Developer workflows and APIs
• CSV — Spreadsheet analysis
• Excel — Business reporting
• XML — Legacy system integrations

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Frequently Asked Questions

How many products can I collect per run?

You can request any positive number using results_wanted; the actor keeps paging until target or no new products.

Can I run multiple categories?

Yes. Run separate tasks per category slug or custom topic URL for cleaner segmentation.

Why might some fields be empty?

Some products may not expose all metadata. The actor still returns the rest of the available structured fields.

Is pagination automatic?

Yes. The actor automatically scans additional listing pages until it reaches your target or page limit.

Can I use a custom Product Hunt URL?

Yes. Use startUrl to target a specific topic/listing URL directly.

Is this suitable for scheduled monitoring?

Yes. The output structure is stable and works well for recurring runs and trend monitoring.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is intended for legitimate data collection use cases. You are responsible for complying with Product Hunt terms and all applicable laws in your jurisdiction.