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See alternative ActorsProduct Hunt Launch Scraper
Scrapes the PH launches of any day and returns the name, tagline, domain, image, ID, categories, detail page link of all launches.
ProductHunt Launch Scraper
This scraper accepts any date as an input and scrapes the list of launches for that day.
Use Cases
This is a fantastic tool to be able to track launches. Use the dataset to identify trands around comments and upvotes as well as the most successful product categories.
Schedule the tool to run multiple times daily to access the distribution of launch times, impact of launch time on number of upvotes, and and track changes to upvotes during the day.
You can also use the 'scrape landing pages' feature to get a list of domains for the launches which can be enriched with contact data for cold email & outreach.
Output
It will return:
- Product name
- Product tagline
- Upvote count
- Link to Product Hunt detail page
- Comment count
- Category / Tags
- Product ID
- Full resolution product image
- Landing Page URL
- Landing Page Domain (use this for email/contact enrichment)
Pricing
I'm currently operating on a basis on monthly rental as I expect most people to schedule the scraper to run regularly. If you wish to scrape large historic datasets, you are welcome to do so.
I've enabled a trial to allow you to pull a small initial dataset to get a flavor for the scrapers current availability.
If you have questions or suggestions around pricing, please let me know.
Tips
If you're looking to scrape launches from today, I recommend scheduling for just after 11pm Pacific (San Fransisco) Time. As Product Hunt resets at midnight Pacific each day, this allows you to scrape the most possible results for each day. Alternatively, you can scrape the results from any previous day, using the date selectors.
If you don't need the landing page URL/domain, leave the 'Scrape Landers' option unchecked. This will speed up your crawl.
Changelog
v0.4.2
- Fix infinite scrolling bug on today's launches
v0.4
- Add 'scrapeFeatured' option to allow scraping of features or all product launches.
- Implement infinite scrolling to ensure all results are captured
- Improve memory efficiency
Features in progress (coming soon)
- Maker social links
- Scrape PH user profiles
Elliot Padfield
