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Product Hunt Scraper

Pricing

from $0.80 / 1,000 launch records

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Product Hunt Scraper

Product Hunt Scraper

Product Hunt scraper and launch monitor for startup research. Collect launches, ranks, upvotes, comments, makers, topics, media and links; optionally enrich public product pages with social, follower, review, funding. From $1 per 1,000 launches, platform usage included.

Pricing

from $0.80 / 1,000 launch records

Rating

0.0

(0)

Developer

Rosario Vitale

Rosario Vitale

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

15 days ago

Last modified

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Why use this Actor?

Product Hunt scraper and launch monitor for startup research. Collect launches, ranks, upvotes, comments, makers, topics, media and links; optionally enrich public product pages with social, follower, review, funding. From $1 per 1,000 launches, platform usage included.

Features

  • Maximum launches — Maximum launches. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Include keywords — Keep launches whose title/content/external links contain at least one keyword.
  • Exclude keywords — Exclude keywords. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Only launches from last N hours (0 = off) — Only launches from last N hours (0 = off). Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Launch monitor name — Reuse on schedules to mark previously seen launches.
  • Emit only unseen launches — Emit only unseen launches. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Include raw feed HTML — Include raw feed HTML. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Request timeout — Request timeout. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Retries — Retries. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Enrich public product pages — Fetch a bounded set of public Product Hunt product pages and extract metadata such as tagline, image and public vote/comment counts when exposed.
  • Maximum enriched launches — Cap public product-page enrichment requests.
  • Enrichment concurrency — Parallel Product Hunt product-page enrichment requests.

Use cases

  • Startup discovery.
  • Competitor launch tracking.
  • Vc and market research.
  • Daily product monitoring.

Example input

{
"maxItems": 50,
"sinceHours": 0,
"onlyNew": false,
"includeContentHtml": false,
"requestTimeoutSecs": 25,
"retries": 2
}

Pricing & cost control

The primary event costs $0.001000 per Launch record (about $1.00 per 1,000 successful primary events). Only successful primary events are intentionally billed by this Actor; summary/status rows add context without adding primary-event charges.

Use the bounded input limits and filters to keep both event charges and platform usage predictable.

FAQ

What is this Actor for?
It is designed for startup discovery, competitor launch tracking, VC and market research.

Can I run it on a schedule?
Yes. You can schedule Actor runs on Apify and send the resulting dataset into automations, webhooks, storage, or downstream APIs.

How do I control cost and run size?
Use the input limits and filters shown in the Actor input form. The Actor applies bounded defaults and hard caps so large jobs remain predictable.

Pricing at a glance

Price per 1,000 launch records
This Actor$1.00
Median of 8 comparable Apify Store Actors (October 2026)$1.57

That is about 37% below the median per-result price for this task in Apify Store.

Subscriber discounts: on a paid Apify plan you pay even less per result — Bronze −10%, Silver −15%, Gold and higher −20% ($0.80 per 1,000 launch records on Gold).

Apify platform usage (compute, storage, data transfer) is included — you pay only the result price plus a small run start fee ($0.0001 per GB of run memory). No surprise compute bill, even on long runs.

Use the run's maximum charge setting to cap spending — the Actor stops cleanly when the limit is reached.

Use it from AI agents (MCP) and code

AI agents — Claude, ChatGPT, Cursor, VS Code, n8n AI agents and any MCP client can run this Actor through the official Apify MCP server: add https://mcp.apify.com?tools=zenomastro/product-hunt-launch-monitor to your client. Then just ask, for example:

"List today's Product Hunt launches with votes, makers and topics, and tell me which AI tools launched."

The agent fills the input from the field descriptions and receives clean JSON it can reason over.

API — one HTTP call runs the Actor and returns the results directly:

curl -X POST "https://api.apify.com/v2/acts/zenomastro~product-hunt-launch-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"maxItems": 5, "includeKeywords": [], "onlyNew": false}'

The same works from the Apify Python/JavaScript clients, Make, n8n, Zapier, LangChain and LlamaIndex integrations, or on a schedule.

Turn Product Hunt's public Atom launch feed into a clean, low-cost monitoring dataset for startup discovery, VC deal flow, competitor tracking, newsletters and market research.

Unlike leaderboard scrapers that require brittle page parsing, this Actor uses the public Product Hunt feed directly. It does not require a Product Hunt login, browser, cookie or developer token. That makes it especially suitable for frequent scheduled runs.

Example

{
"maxItems": 50,
"includeKeywords": ["AI", "developer"],
"monitorName": "daily-ai-products",
"onlyNew": true
}

A launch row is ready for JSON, CSV, spreadsheets, a CRM or an LLM pipeline. External links discovered inside the public feed entry are preserved separately so downstream systems do not need to parse HTML again.

Monitoring strategy

Schedule the Actor every hour or every day with the same monitorName. The Actor keeps a bounded persistent set of launch IDs and can return only entries it has not seen before. This avoids repeatedly billing and processing the same launch in downstream workflows.

Scope

This product intentionally focuses on the reliable public launch feed rather than claiming historical leaderboard coverage that depends on Product Hunt's changing web application. Use a leaderboard-specific Actor when historical ranking is the requirement; use this Actor when fresh launches, monitoring reliability and low execution cost matter most.

Use public Product Hunt data responsibly and comply with applicable Product Hunt terms and privacy requirements.

Extended capabilities

  • Combine the live Product Hunt feed with optional product, topic, category, or leaderboard source pages.
  • Extract makers, topics, media URLs, engagement counts, rank when exposed, website metadata, and launch details.
  • Monitor new launches with persistent state and source-page diagnostics.