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Startup Fast Scraper: Launch Intelligence

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from $0.66 / 1,000 startup records

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Startup Fast Scraper: Launch Intelligence

Startup Fast Scraper: Launch Intelligence

Extract startup and product launches from Startup Fast by category. Get websites, descriptions, upvotes, launch dates, tech stacks, platforms, pricing types, categories, and social links without a login.

Pricing

from $0.66 / 1,000 startup records

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GetAScraper

GetAScraper

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1

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4 days ago

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๐Ÿš€ Startup Fast Scraper: launch intelligence

Start collecting fresh Startup Fast launches, websites, stacks, and market signals in under 60 seconds.
Choose a category or exact Startup Fast pages and receive clean records ready for research, monitoring, or your next spreadsheet.
๐ŸŒ Product websites
Go from a launch listing to the product's own site.
๐Ÿ“ˆ Market signals
Compare upvotes, comments, dates, categories, and pricing.
๐Ÿงฐ Technology data
See declared stacks and supported platforms in separate columns.
๐Ÿ”„ New launch feed
Schedule incremental runs that return newly discovered projects.

Startup Fast is a public directory for startup and product launches. This Actor turns its listings into structured data without requiring an account.

Startup Fast launch dataset

๐Ÿ” What does Startup Fast Scraper do?

Startup Fast Scraper collects public startup and product listings by category or direct URL. Each row can include the product website, description, categories, engagement, launch date, social profile, stack, platforms, and pricing type.

Results are available in JSON, CSV, Excel, XML, and other formats supported by Apify. Use schedules and integrations to keep research workflows updated.

๐Ÿ’ก Why use it?

  • I am a startup analyst comparing new SaaS launches, pricing models, and technology choices across a focused category.
  • I am a newsletter editor collecting fresh products for a weekly roundup without opening every listing by hand.
  • I am a founder tracking competing launches, category positioning, descriptions, and early engagement signals.
  • I am a market researcher building a clean dataset of product websites, categories, platforms, and declared stacks.

๐Ÿš€ How to use it

STEP 1
Choose your scope
Pick a category or paste exact Startup Fast URLs.
STEP 2
Set limits and filters
Cap results or filter by date and minimum upvotes.
STEP 3
Run and export
Start the Actor, inspect a view, and download your dataset.

๐Ÿ“ฅ Input

FieldTypeRequiredDescription
startUrlsarray of URLsNoDirect Startup Fast project, category, homepage, trending, or directory URLs. When set, these override the category selection.
categoryenumNoCategory to collect. Defaults to all categories and automatically removes duplicate projects.
maxItemsintegerNoMaximum records saved to the dataset. Defaults to 100 projects.
maxPagesPerCategoryintegerNoMaximum recent pages inspected per category. Defaults to 5 pages.
minUpvotesintegerNoKeep projects with at least this many visible upvotes. Defaults to 0.
launchedAfterstringNoOptional earliest launch date in YYYY-MM-DD format.
onlyNewItemsbooleanNoReturn projects not emitted by earlier runs with the same monitor key. Defaults to false.
monitorKeystringNoState name for an incremental workflow. It defaults to the selected category.
proxyConfigurationobjectNoConnection settings for cloud runs. The default datacenter configuration suits this public source.

๐Ÿ“ค Output

Each dataset row represents one public Startup Fast project. Missing values are omitted instead of replaced with placeholders.

{
"name": "Pokecut",
"slug": "pokecut",
"description": "Free AI Photo Editor & Generator",
"startupFastUrl": "https://www.startupfa.st/projects/pokecut",
"websiteUrl": "https://www.pokecut.com/",
"logoUrl": "https://9s82gn6mgv.ufs.sh/f/gCFgcDLxaF0QYfHHrhdWluUTqG7kRIEYAMpVmg5sOaBFzCtb",
"categories": ["Artificial Intelligence", "SaaS", "Design Tools"],
"categorySlugs": ["ai", "saas", "design-tools"],
"upvotes": 0,
"xUrl": "https://x.com/Pokecut_",
"techStack": ["ai image editor", "ai image generator", "batch photo editor"],
"platforms": ["web"],
"pricingType": "freemium",
"sourceCategory": "ai",
"sourcePage": 1,
"sourceRank": 1,
"scrapedAt": "2026-07-22T22:00:39.552Z"
}

The Output tab includes three views:

  • Startup launches for general discovery and export.
  • Market signals for dates, engagement, categories, pricing, and source rank.
  • Technology profiles for websites, social profiles, stacks, and platforms.

๐Ÿงพ Data table

FieldTypeDescription
namestringPublic project name.
slugstringStable project identifier from the listing URL.
descriptionstringProduct description shown on Startup Fast.
startupFastUrlstringDirect public project listing.
websiteUrlstringProduct's own public website.
logoUrlstringPublic project logo URL.
categoriesarrayHuman-readable Startup Fast category names.
categorySlugsarrayStable category identifiers.
upvotesnumberVisible upvote count.
commentsnumberVisible comment count when available.
xUrlstringPublic X profile linked from the project.
techStackarrayTechnologies declared on the project page.
platformsarraySupported platforms declared by the project.
pricingTypestringPublic pricing label such as free, paid, or freemium.
launchDatestringLaunch date in ISO format when shown.
sourceCategorystringCategory where the project was discovered.
sourcePagenumberCategory page where the project was discovered.
sourceRanknumberPosition shown on that source page.
scrapedAtstringTime the record was collected.

๐Ÿ’ฐ Pricing

Pricing is pay per result. You pay for rows successfully saved to the dataset, empty runs have no result charges, and there is no fixed subscription.

โญ Enjoying Startup Fast Scraper?

โญ โญ โญ โญ โญ
Turned a directory of launches into research-ready data without opening every project page?
A 5-star rating takes 10 seconds and helps other startup analysts and newsletter editors find it. Your feedback also guides future improvements.
โ˜…ย ย Rate this Actor on Apify

โœจ Tips

  • Use a single category for focused and faster research.
  • Raise maxPagesPerCategory when you need older launches, not just recent projects.
  • Combine launchedAfter with an Apify Schedule for a time-bounded launch feed.
  • Enable onlyNewItems and keep the same monitorKey for repeated incremental runs.

โ“ FAQ

Does Startup Fast Scraper get blocked?

Startup Fast currently exposes public listings without a login or interactive challenge. The Actor uses controlled request pacing and configurable connections for reliable runs.

Does it collect private emails or account data?

No. It stays on public Startup Fast project pages and does not sign in, harvest external website emails, or access private account areas.

How fresh is the data?

Each run reads live public project pages. Schedule the Actor daily or weekly and enable onlyNewItems to collect newly discovered launches.

Are all Startup Fast categories supported?

Yes. Choose all categories or one of the 37 current categories, including AI, SaaS, developer tools, marketing, productivity, and e-commerce.

๐Ÿ›Ÿ Responsible use and support

This Actor collects publicly available startup listing data. Review Startup Fast's terms and applicable privacy laws before using the dataset, especially for outreach or profiling.

Open an issue from the Actor page in Apify Console if a field changes or a public page stops returning expected data.

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