Tiny Startups Scraper
Pricing
Pay per event
Tiny Startups Scraper
Scrape Tiny Startups launch, founder, vote, backlink, and deal data for startup lead generation and market research.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Stas Persiianenko
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Collect public startup launch data from Tiny Startups in minutes.
This Apify Actor extracts launch cards, founder/submitter details, backlinks, rankings, vote counts, and deal metadata from the public Tiny Startups website.
Use it for indie-founder lead generation, startup scouting, product research, outreach lists, and market monitoring.
What does Tiny Startups Scraper do?
Tiny Startups Scraper turns public Tiny Startups pages and API feeds into a structured dataset.
It can collect this week's launches, archive listings, all-time top startups, keyword search results, the current Startup of the Day, and exclusive deal listings.
Each saved item is a clean startup record with names, URLs, categories, votes, founder metadata, and timestamps.
Who is it for?
Founder outreach teams
Find founders launching new products and build outreach lists while the launch is fresh.
Startup investors and acquirers
Monitor early traction signals such as upvotes, category, backlink status, and launch recency.
Agencies and consultants
Discover companies that may need design, SEO, automation, analytics, or growth services.
Indie hackers
Research launch positioning, taglines, categories, and offers from other bootstrapped products.
Market researchers
Export structured startup discovery data for trend analysis and category tracking.
Why use this Actor?
- 🚀 Fast HTTP-only collection without a browser
- 🧭 Multiple feeds: weekly, archive, all-time, search, today, deals
- 🔗 Direct website and Tiny Startups listing URLs
- 👤 Creator or submitter fields when public
- 🎁 Deal-code fields for discount monitoring
- 📊 Dataset ready for CSV, JSON, Excel, Google Sheets, APIs, and webhooks
What data can it extract?
| Field | Description |
|---|---|
startupName | Public startup name |
tagline | Short launch tagline |
description | Longer public description when available |
websiteUrl | Startup website URL |
listingUrl | Tiny Startups listing URL |
logoUrl | Logo image URL |
featuredImageUrl | Featured image when exposed |
category | Tiny Startups category |
rank | Rank in ranked feeds |
upvoteCount | Public upvote count |
launchDate | Launch date or daily feature date |
creatorName | Creator or submitter name when public |
creatorUsername | Creator username when public |
dealHeadline | Deal headline for deal-feed records |
dealCode | Public coupon code when present |
sourceMode | Feed used to collect the record |
scrapedAt | ISO timestamp for the run |
How much does it cost to scrape Tiny Startups?
This Actor uses pay-per-event pricing.
You pay a small start fee when a run starts and a tiny per-result fee for each startup record saved to the dataset.
Actual configured event prices for the first paid tier are:
| Charge event | When it is charged | BRONZE price |
|---|---|---|
| Run started | Once per Actor run | $0.005 |
| Result extracted | Per startup saved | $0.00005 |
Example estimates at BRONZE pricing:
| Run size | Estimated result fees | Start fee | Estimated total |
|---|---|---|---|
| 25 startups | $0.00125 | $0.005 | ~$0.00625 |
| 100 startups | $0.00500 | $0.005 | ~$0.01000 |
| 1,000 startups | $0.05000 | $0.005 | ~$0.05500 |
Free Apify plan users can run small tests first. A 20-result prefill run is approximately $0.006 at BRONZE-equivalent pricing before any Apify plan allowances or platform-specific display rounding.
The Apify Actor page always shows the final price confirmation before you start a run.
Input options
Collection mode
Choose the Tiny Startups feed to collect.
weekly— this week's launchesarchive— archive feedallTime— all-time top startupssearch— keyword search resultstoday— Startup of the Daydeals— exclusive deals feed
Search queries
Use this only with search mode.
Example queries:
aideveloper toolsproductivitymarketing
Maximum startups
Set the maximum number of records to save.
Start with 25 for testing.
Increase once your workflow is ready.
Include deals
When enabled, the Actor also appends startups from the deals feed if there is room under your maximum.
Example input
{"mode": "weekly","maxItems": 25,"includeDeals": false}
Search input example
{"mode": "search","searchQueries": ["ai", "developer tools"],"maxItems": 50}
Output example
{"startupId": "cmoyhvv8e001fzerc44xqjstc","startupName": "FlashTTS","tagline": "ElevenLabs alternative. Better price, same quality.","websiteUrl": "https://www.flashtts.com/","listingUrl": "https://www.tinystartups.com/startup/flashtts","category": "Productivity","rank": 1,"upvoteCount": 98,"creatorName": "Zeke Yeager","sourceMode": "weekly","scrapedAt": "2026-05-26T00:00:00.000Z"}
How to run it
- Open the Actor on Apify.
- Select a collection mode.
- Set a small maximum for your first run.
- Add search queries if using search mode.
- Click Start.
- Download results as CSV, JSON, Excel, or through the API.
Tips for better results
- Use
weeklyfor fresh launch monitoring. - Use
searchfor niche prospecting. - Use
dealsto find startups with active promotional offers. - Use
allTimeto benchmark high-performing listings. - Schedule daily or weekly runs for trend tracking.
Integrations
Send results to Google Sheets for outreach.
Push new launches to Slack with Apify webhooks.
Connect the dataset to a CRM enrichment workflow.
Use Make or Zapier to trigger emails for matching categories.
Export JSON into your own lead-scoring pipeline.
API usage with Node.js
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: process.env.APIFY_TOKEN });const run = await client.actor('automation-lab/tiny-startups-scraper').call({mode: 'weekly',maxItems: 25});console.log(run.defaultDatasetId);
API usage with Python
from apify_client import ApifyClientclient = ApifyClient('MY-APIFY-TOKEN')run = client.actor('automation-lab/tiny-startups-scraper').call(run_input={'mode': 'weekly','maxItems': 25,})print(run['defaultDatasetId'])
API usage with cURL
curl -X POST 'https://api.apify.com/v2/acts/automation-lab~tiny-startups-scraper/runs?token=MY-APIFY-TOKEN' \-H 'Content-Type: application/json' \-d '{"mode":"weekly","maxItems":25}'
MCP usage
Use this Actor from Apify MCP with Claude Code or Claude Desktop.
MCP tool URL:
https://mcp.apify.com/?tools=automation-lab/tiny-startups-scraper
Claude Code setup:
$claude mcp add apify-tiny-startups --transport http https://mcp.apify.com/?tools=automation-lab/tiny-startups-scraper
Claude Desktop JSON config:
{"mcpServers": {"apify-tiny-startups": {"url": "https://mcp.apify.com/?tools=automation-lab/tiny-startups-scraper"}}}
Example prompts:
- "Collect this week's Tiny Startups launches and summarize the top categories."
- "Find AI startups on Tiny Startups and prepare an outreach table."
- "Get current Tiny Startups deals and extract coupon codes."
Scheduling
You can schedule this Actor to run daily or weekly.
A daily run is useful for Startup of the Day and fresh launches.
A weekly run is useful for lead generation and trend reports.
Data quality notes
The Actor only extracts data that Tiny Startups exposes publicly.
Some optional fields may be empty for archive or daily records.
Deal fields are populated only for the deals feed or when deals are appended.
Legality
This Actor collects publicly available information.
You are responsible for using exported data in accordance with applicable laws, Tiny Startups terms, and privacy rules.
Avoid spam and respect opt-out requests in outreach workflows.
FAQ
Can I scrape Tiny Startups search results?
Yes. Select search mode and provide one or more search queries.
Does this include private founder contact data?
No. It only exports public fields exposed by Tiny Startups.
Troubleshooting
Why did I get fewer results than requested?
The selected feed may contain fewer public records than your maximum, especially today and deals modes.
Why are deal fields empty?
Deal fields are only available for deals mode or when includeDeals is enabled and deal records are appended.
Why do I need search queries?
Search queries are required only when mode is search.
Related scrapers
Explore related automation-lab Actors for startup research, lead generation, SEO, and website enrichment on Apify.
- Website Emails Scraper — enrich startup website URLs with public email/contact discoveries.
- Product Hunt Scraper — compare Tiny Startups launches with Product Hunt launches and rankings.
- Google Search Scraper — find additional public references, competitors, and founder profiles.
- LinkedIn Company Scraper — enrich companies that have public LinkedIn company pages.
Use Tiny Startups Scraper together with website enrichment Actors to turn launch records into complete lead profiles.
Changelog
0.1
Initial implementation with weekly, archive, all-time, search, today, and deals modes.
Support
If the website changes or you need another field, open an issue on the Actor page.
Workflow examples
Weekly founder prospecting
Run weekly mode every Monday, export the dataset to Google Sheets, and review the newest launches before writing outreach.
Focus on records with complete websiteUrl, category, tagline, and creatorName fields.
Add your own columns for fit score, outreach status, and next action.
Category research
Use search mode with category-like terms such as ai, developer tools, marketing, or productivity.
Compare taglines and descriptions to understand positioning patterns in each niche.
Export the results to CSV and group by category or keyword source.
Deal monitoring
Use deals mode, or enable includeDeals, when you want promotional offers and coupon fields.
Watch dealHeadline and dealCode for public offers that may matter to partnership, affiliate, or marketplace workflows.
Responsible outreach notes
Tiny Startups data is best used as a starting point for research, not as permission to send bulk messages.
Validate high-value leads manually before contacting founders.
Personalize outreach based on the actual launch, website, and category.
Respect opt-outs, local privacy laws, and the recipient's communication preferences.