Microns Startup Listings Scraper — Micro-Startups For Sale, With The Numbers That Matter

Scrapes every startup-for-sale listing on microns.io — the marketplace where indie founders sell micro-SaaS, mobile apps, newsletters, YouTube channels, extensions and content sites, typically for $1K–$100K — and turns each one into a decision-ready row:

• Asking price and annual revenue (ARR) as published
• revenueMultiple — asking price ÷ ARR, the number every acquirer computes by hand before anything else
• dealScore (0–100) — fresh, fairly-priced, revenue-verified deals rank first
• status — available or sold. Sold listings are free market comps: what multiples actually clear, not what sellers wish for
• Customers, price per customer, publish date + days listed, founded year, business model, expenses, growth opportunity, reason for selling, asking-price reasoning, target audience, competitors, tech stack, and the listing URL

HTTP-only, no login, no browser, no proxies. Pay per result — a filtered run costs cents.

Who is this for?

• Micro-acquirers & flippers hunting underpriced deals before they're gone — the good ones sell in days, and refreshing the site by hand is exactly the work this replaces
• Investors & analysts benchmarking micro-startup valuations (median multiples by category, from sold comps)
• Founders pricing their own exit against what's actually listed and what actually sold
• Newsletter operators & deal-flow services feeding "best deals this week" digests

Output fields

Field	Description
name, category, description	What the startup is (e.g. Micro-SaaS, Mobile App, YouTube, Newsletter)
status	available (still buyable) or sold
askingPriceUsd / askingPriceRaw	Asking price
arrUsd / arrRaw	Annual revenue. $0 = pre-revenue (a real zero); null = not published — never confused
revenueMultiple	askingPriceUsd ÷ arrUsd; null when ARR is 0 or unknown, never a fake value
customers, pricePerCustomer	Traction and what you'd pay per customer
publishedDate, daysListed	How long it's been on the board — fresh deals go fast
foundedYear	Year the startup was founded
dealScore	0–100 for available listings: revenue evidence (35, log-scaled ARR) + price fairness (30, vs the standard ~3x ARR yardstick) + traction (15) + freshness (20). Unknowns score neutral, never bonus. Sold = null
businessModel, expenses, growthOpportunity	The seller's own operating notes
reasonForSelling, askingPriceReasoning	Why they're selling and how they priced it
targetAudience, competitors, techStack	Context for diligence
url	Direct link to the listing

Input

Option	Default	What it does
listingStatus	available	available, sold (market comps), or all
category	–	Substring filter, e.g. SaaS, YouTube, Newsletter
minArrUsd	–	Require published revenue (use 1 for "any revenue at all")
maxAskingPriceUsd	–	Your budget cap
maxRevenueMultiple	–	e.g. 3 = only fairly-priced deals
sortBy	dealScore	dealScore, newest, askingPrice, revenueMultiple, arr
maxItems	1000	Caps rows pushed = caps your cost

Every run also writes a SUMMARY key-value record: board totals, available vs sold, median revenue multiple, new-this-week count and the top 5 deals.

How to schedule this Actor (the whole point)

New listings appear weekly and the good ones go fast — this board is only useful fresh:

1. Open the Actor → Schedules tab → Create new schedule
2. Cadence: daily (e.g. @daily) for deal-hunting, weekly for valuation benchmarking
3. Input preset for a daily deal alert: { "listingStatus": "available", "minArrUsd": 1, "maxRevenueMultiple": 4, "sortBy": "dealScore" }
4. Add an integration (Slack, email, webhook, Make, Zapier) to push new top deals straight to you
5. Compare daysListed between runs — anything that vanished from available either sold or was pulled

Tip for valuation work: run listingStatus: "sold" weekly and track medianRevenueMultiple from the SUMMARY — that's a live micro-startup valuation index no one publishes.

Fair use & data notes

• Public data only, fetched politely (small concurrency + delay). No login, no paywall bypass.
• Deal terms change and sellers update listings — always verify on the listing page before contacting a founder. This dataset is decision support, not financial advice.

Was this Actor useful?

If it saved you a manual morning refresh, a ⭐ review on the Store page helps other acquirers find it. Hit a problem or want a field added? Open an Issue — the parser is monitored and actively maintained.