Pricing

from $1.00 / 1,000 results

Product Hunt – Products, Launches, Makers & Reviews

Extract producthunt.com data including products, launches, keyword search results, maker profiles, reviews, categories, media, social links, product websites, and optional public contact emails.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

Abot API

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Lead generation

E-commerce

Automation

Input mode

mode

Optional

Select URL list for fixed Product Hunt pages or Keyword search for generated search pages.

Type:string

Default:keyword

Options:

urlkeyword

Product Hunt URLs

startUrls

Optional

Paste Product Hunt homepage, search, leaderboard, topic, collection, product, or maker profile URLs. Listing pages expand into product records.

Type:array

Keyword search terms

searchTerms

Optional

Product Hunt keywords to search. Each term is converted to a Product Hunt search URL and expanded into product rows.

Type:array

Keyword search sort

searchSort

Optional

Sort applied to generated keyword search URLs.

Type:string

Default:relevance

Options:

relevancepopularnewest

Keyword categories

searchCategories

Optional

Restrict generated keyword searches to one or more common Product Hunt categories. Leave empty to search all categories.

Type:string[]

Default:

[]

Custom keyword category slugs

searchCategorySlugs

Optional

Advanced: Product Hunt category slugs not listed above, for example ai-engineer. Combined with Keyword categories.

Type:array

Find contact emails on product websites

enrichEmails

Optional

When enabled, the Actor checks each product website for public contact emails. Disable for faster Product Hunt-only metadata.

Type:boolean

Default:true

Include product reviews

includeReviews

Optional

Include review summaries that are publicly present on Product Hunt product pages.

Type:boolean

Default:true

Output reviews as separate rows

outputReviewsAsRows

Optional

When enabled, each extracted review is also saved as its own dataset row after the product row.

Type:boolean

Default:false

Max reviews per product

maxReviewsPerProduct

Optional

Maximum embedded or separate review rows per product. Leave empty for a compact default; set 0 to omit review details while keeping review counts.

Type:integer

Minimum:0

Maximum:100

Max items

maxItems

Optional

Hard cap on total dataset rows. This is the only finite default cap.

Type:integer

Minimum:1

Maximum:100000

Default:20

Max search candidates per keyword

maxSearchResultsPerTerm

Optional

Maximum search candidates scanned per keyword before record-level filters are applied. Leave empty to scan enough candidates to satisfy Max items.

Type:integer

Minimum:1

Maximum:100000

Minimum reviews

minReviewsCount

Optional

Only keep product rows with at least this many Product Hunt reviews. Leave empty for no review-count filter.

Type:integer

Minimum:0

Minimum followers

minFollowersCount

Optional

Only keep product rows with at least this many Product Hunt followers. Leave empty for no follower-count filter.

Type:integer

Minimum:0

Require product website

websiteRequired

Optional

Only keep products that expose an external website URL.

Type:boolean

Default:false

Require social or source link

socialLinkRequired

Optional

Only keep products that expose at least one external social or source-code link.

Type:boolean

Default:false

Proxy configuration

proxy

Optional

Apify Proxy is optional for light runs. If Product Hunt rate-limits your run, enable proxy or choose Residential.

Type:object

Pipe results into your apps (optional)

mcpConnectors

Optional

Optionally send the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize a connector once under Apify → Settings → Integrations, then select it here. The connector receives a condensed, human-readable summary per item (title + key fields), not the full JSON; the complete record stays in the dataset. Leave empty to skip. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com).

Type:array

Notion parent page (Notion connector only)

notionParentPageUrl

Optional

URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors.

Type:string

Max items to export per connector

maxNotifyListings

Optional

Cap on items written to each connector per run. Does not affect the dataset.

Type:integer

Minimum:1

Maximum:1000

Default:50

Product Hunt Scraper

pear_fight/producthunt-scraper

Scrape products and launches from Product Hunt

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Product Hunt Scraper — Products, Launches, Votes & Makers

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Product Hunt Scraper — Launches, Makers & Leads

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Scrape Product Hunt launches with full data: votes, comments, ranks, topics, website, socials, funding, reviews and makers. Optionally extract maker contact emails for lead generation. Scrape by date range, topic or URL, with monitoring mode for new launches. Export JSON, CSV, Excel.

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Product Hunt Scraper (/w EMAILS)

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Maxime Dupré

458

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Get the top Product Hunt launches by date, name, tagline, votes, comments, makers, topics, and website links

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Product Hunt Scraper

glassventures/product-hunt-scraper

Scrape Product Hunt launches and products. Extract names, taglines, votes, comments, makers, topics, ratings. Export to JSON, CSV, Excel.

Glass Ventures

Product Hunt Scraper — Launches, Upvotes & Makers

embyrs/producthunt-scraper

Scrape Product Hunt launches, upvotes, makers, topics, and launch dates. Search by keyword and get structured data from the world's largest product discovery platform.

Chris Drake

Product Hunt Launch & Maker Lead Scraper

runtime/producthunt-scraper

Extract Product Hunt launches, makers, hunters, comments, reviews, upvotes, and startup signals for market research, lead generation, and competitive monitoring.