Microns Startup Listings Scraper | Deal Score & Sold Comps

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.

Related Actors

• SideProjectors Startup Marketplace Scraper — the other indie-startup marketplace, same deal-score schema.
• Gumroad Best Sellers Scraper — what digital products actually sell.

Schedule it (recommended)

The cheapest way to use this Actor is as a monitor: create a Schedule in Apify Console (e.g. every day at 08:00), set the input "onlyNew": true, and add an integration (email, Slack, Google Sheets, webhook). Every run then delivers only the listings that appeared since the previous run — you pay only for new rows, and you never miss one.

Changelog

• 0.1.3 (24 Sep 2026) — Reliability: if microns.io is briefly down or slow, the run now waits and retries on its own instead of failing at once, a single listing page that will not load is skipped instead of failing the run, and a run close to its timeout stops early and keeps every listing found so far. No price or field change.
• 0.1.2 (19 Sep 2026) — Typo guard on input. Apify accepts input fields an Actor does not know without complaining, so a misspelled option (e.g. maxItem instead of maxItems) used to produce a successful run with the setting silently inactive. The run log now warns for every unknown field and suggests the closest real one.
• 0.1.1 (18 Sep 2026) — New onlyNew (monitor mode). Set it to true and schedule the Actor: the first run returns the full result and remembers every listing (slug) in a key-value store in your account; every later run returns only listings that are new since the last run, and skipped rows are never charged. Nothing else changed — defaults, fields and prices are identical.
• 0.1.0 (Aug 2026) — Launch: every microns.io listing (available + sold) with 0-100 deal score, revenue multiple vs sold comps, days listed and sold status.
• Sep 2026 — Store listing refresh (title, SEO, this changelog); daily canary against the live sitemap (~550 URLs).

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