🐈 Product Hunt Launches Scraper — Daily Product Hunt launch stream — title, tagline, maker, votes, topics

The Product Hunt Launches Scraper pulls structured rows from ProductHunt.com's daily and historical launch leaderboard. You get product name, tagline, makers, vote count, comment count, topic tags, launch date, product URL, and producthunt.com canonical URL — for any date range you specify. Ideal for trend research, indie-dev ICP discovery, dev-tool competitive intel, and newsletter / aggregator content sourcing.

Why Product Hunt Launches Scraper Beats Product Hunt Pro, BetaList, and Indie Hackers Launches

Source	Price	What you get
Product Hunt Pro	$50/mo	Browse only; no bulk JSON export
BetaList	Free	Different community, smaller volume
Indie Hackers Launches	Free	Different community
Hacker News Show HN	Free	Different community, requires separate scraping
NexGenData Product Hunt Scraper	PPE per launch	Title, tagline, maker, votes, comments, topics, launch date — bulk JSON

What You Get

• Launch ID + canonical producthunt.com URL
• Product name + tagline
• Launch date (UTC) + leaderboard rank on that day
• Vote count + comment count (at scrape time)
• Makers: name + Product Hunt profile URL + Twitter (when published)
• Product canonical URL (the product website)
• Topic tags (AI, Productivity, Developer Tools, Design Tools, etc.)
• Description / long write-up (when the maker posted one)
• Gallery URLs: product screenshots / video URL
• Pricing model summary (Free / Freemium / Paid) when tagged
• Featured-collection memberships (when applicable)
• Number-of-followers (when public)

Use Cases

• Dev-tool / SaaS ICP discovery — products launching on Product Hunt are warm targets for adjacent SaaS (analytics, marketing, dev-infra).
• Trend research — bucket launches by topic to surface emerging categories (e.g. AI-agent share of total launches by quarter).
• Investor scouting — surface launches with 500+ votes that haven't yet hit Crunchbase or YC.
• Newsletter / aggregator content — every weekly newsletter covering 'what shipped' can auto-source from this actor.
• Maker outreach — first-time Product Hunt launchers are excellent targets for indie-dev community, podcasts, and angel deal-flow.
• Brand competitive intel — track every launch in your competitor's topic and dedupe daily.
• Acqui-hire / acquisition pipeline — products that launch but stall (1-2 months later) are common acquisition candidates.

Quick Start

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "sinceHours": 24,
    "topics": ["artificial-intelligence", "developer-tools"],
    "minVotes": 50
}

run = client.actor("nexgendata/product-hunt-launches-scraper").call(run_input=run_input)

# Iterate results
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# Or fetch all in one go
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(f"Got {len(items)} rows")

You can also run from the Apify CLI:

apify call nexgendata/product-hunt-launches-scraper --input='{
    "sinceHours": 24,
    "topics": ["artificial-intelligence", "developer-tools"],
    "minVotes": 50
}'

Or from the web console: open the actor page on Apify, click Try for free, paste the input JSON, hit Run. Results stream into the dataset which you can export as JSON / JSONL / CSV / Excel / HTML.

Scheduling

This actor pairs cleanly with Apify Scheduler (built into the platform) — schedule it hourly / daily / cron-style and dedupe results into your warehouse on the stable primary-key fields documented above. Webhook outputs are supported, so you can fire a Slack / Zapier / Make / n8n / your-own-API call the moment new rows materialize.

Integration patterns

• CRM enrichment: pipe rows directly into HubSpot / Salesforce / Pipedrive via Zapier or Make
• Warehouse: append to BigQuery / Snowflake / Postgres on a daily schedule via Apify → S3 → warehouse ingest
• LLM-ready RAG: each row is already JSON-flat; embed the plain-text body field and store in pgvector / Pinecone / Weaviate
• Slack alerts: filter by your trigger keyword and fire a Slack webhook for matches in real-time

Pricing

This actor runs on Apify's pay-per-event (PPE) model — you pay only for results, not run-time:

• $0.03 per Product Hunt launch — the primary event (one charge per row pushed to the dataset)
• 0.00005 USD per actor-start GB-event — actor start cost (one-time per run, sub-cent at typical memory)

No subscriptions, no minimums, no per-CPU-second charges. Apify's $5/month free tier covers most experiments. Browse 200+ buyer-intent actors at https://apify.com/nexgendata?fpr=2ayu9b

Cost worked example

A daily scheduled run pulling 500 fresh rows costs roughly:

• 500 rows × primary-event price (~$0.04-0.05) = $20-25
• 1 actor start × ~$0.00005 = negligible

So ~$20-25 per 500-row daily run, or ~$0.04-0.05 per row all-in. There are no surprise compute, storage, or proxy add-ons — proxy rotation is bundled into the per-row price.

Why pay-per-event beats time-based pricing

• Predictable: you know your cost from row count before the run starts
• Failure-safe: if a target site changes its HTML and the actor returns 0 rows, you pay 0 (vs paying for the CPU-seconds anyway under time-based pricing)
• Easy to attribute: 1 row = 1 unit cost, so per-customer / per-pipeline cost accounting is trivial

Sister Actors in the NexGenData Fleet

Use case	Actor
Show HN indie launch stream	hn-show-hn-tracker
Indie Hackers solo & bootstrapped tracker	indie-hackers-products-tracker
Y Combinator alumni database	yc-companies-directory-scraper
Crunchbase news & funding announcements	crunchbase-news-scraper
AngelList startup discovery	angellist-startup-search
Techstars alumni & cohorts	techstars-companies-directory
B2B leads for SaaS sellers	b2b-leads-finder

(All sister actors share the same PPE billing and Apify-standard JSON output, so you can compose multi-step pipelines without rewriting input/output adapters.)

FAQ

Q: How far back does the data go?

A: Product Hunt's launch archive goes back to 2014. The actor can pull anything from the last 24 hours up to the entire historical archive.

Q: How fresh is the live data?

A: Each run pulls live data. New launches typically appear in the leaderboard within minutes of going live.

Q: Does it use the Product Hunt API?

A: The actor uses Product Hunt's public site rendering, augmented by their public Algolia search index — no API key required and not bound by their GraphQL rate-limits.

Q: Will I be rate-limited?

A: The actor uses Apify residential proxies and polite pacing. We have not observed blocks at typical volumes (≤5K launches/run).

Q: Output format?

A: JSON, JSONL, CSV, Excel via Apify dataset export. Schema is stable.

Q: Can I monitor only fresh launches?

A: Yes — schedule the actor with a sinceHours window and dedupe on launch ID.

Schema Stability & Versioning

This actor follows NexGenData's additive-only schema contract:

• New fields may be added at any time — they will simply appear as new keys in the JSON output, defaulting to null for older runs.
• Existing fields are never renamed or removed without a major-version bump and an advance changelog notice.
• Field semantics (units, timezones, value-sets) are never silently changed — if we need to change semantics, we add a new field with the new name and deprecate (but keep) the old one for at least 90 days.

This means you can build production pipelines on this actor and not worry about a Tuesday breaking a Friday's ETL job. If you spot an unexpected change, reach out via the actor's Apify Issues tab and we'll look at it the same day.

Compliance & Legal

• The actor reads public, unauthenticated pages the same way a logged-out browser does.
• All requests route through Apify's compliant residential-proxy infrastructure with polite rate limiting.
• You are responsible for ensuring your downstream use complies with the target site's Terms of Service, your jurisdiction's data-protection laws (GDPR, CCPA, UK DPA, etc.), and any sector-specific rules (HIPAA, PCI, etc.).
• We do not collect, store, or transmit credentials for the target site.
• Most read-only competitive-intelligence and lead-generation use is widely accepted. Consult counsel before bulk redistribution.

Support

Open an issue on the actor's Apify Issues tab — the NexGenData team responds within one business day. For feature requests (new fields, new input filters), include the use case so we can prioritize on it.

About NexGenData

NexGenData publishes 200+ buyer-intent actors covering SEC filings, YC alumni, Delaware DOC, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, ATS job boards, real-estate marketplaces, and more. All actors are pay-per-result and share a stable, additive-only JSON schema. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b

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SEO: 🐈 Product Hunt Launches Scraper — Indie Launch Tracker API