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product-hunt-scraper

Scrape Product Hunt trending products using Apify. Use when you need to discover new product launches, track competitors on Product Hunt, or monitor the startup ecosystem for relevant launches.

744estrelas
Atualizado há 4 meses

Ver no GitHub ↗

Como adicionar

/plugin marketplace add gooseworks-ai/goose-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/product-hunt-scraper/svg)](https://www.skillteca.com.br/skills/product-hunt-scraper)

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Ler descrição completa

Product Hunt Scraper

Scrape trending products from Product Hunt using the Apify maximedupre/product-hunt-scraper actor.

Output fields: Each product has name, tagline, description, url (Product Hunt URL), and additional fields depending on the actor's output.

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag).

# Today's top products
python3 skills/product-hunt-scraper/scripts/scrape_producthunt.py \
  --time-period daily --max-products 10 --output summary

# This week's products filtered by keyword
python3 skills/product-hunt-scraper/scripts/scrape_producthunt.py \
  --time-period weekly --keywords "AI,marketing" --output summary

# Monthly top products as JSON
python3 skills/product-hunt-scraper/scripts/scrape_producthunt.py \
  --time-period monthly --max-products 50

CLI Reference

| Flag | Default | Description | |------|---------|-------------| | --time-period | weekly | daily, weekly, or monthly | | --max-products | 50 | Max products to scrape | | --keywords | none | Keywords to filter (comma-separated, OR logic) | | --output | json | Output format: json or summary | | --token | env var | Apify token (prefer APIFY_API_TOKEN env var) | | --timeout | 300 | Max seconds to wait for the Apify run |

Notes

  • Keyword filtering is client-side on product name + tagline + description
  • Results are sorted by upvote count (descending)
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