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MrScraper
Web scraping SaaS · Indonesia · 2024 acqui-grow
👤 Cahyo Subroto (Ran SEO agency Penateam — he could both read the traffic signal and fund a fast, low-cost Asia dev team to fix the product.)🌐 sitepenateam.comLinkedIn

An indie hacker's scraper had traffic but no payers. He sold cheap; the buyer read the traffic as proof and pounced.

Will it work? · our read
Buy the demand. Traffic converts only if the problem was execution, not demand. Many 'cheap SaaS with traffic' buys stay dead — the users never intended to pay.
01How the money moves
SEO + free tier pull in signups
Rebuilt UX + outbound to SaaS/marketers
$49-$199/mo tokens + enterprise contracts
02The numbers
$2.4K
ARR at purchase
founder
$1.7M
ARR by mid-2025
Starter Story
5-figure
acquisition price
Acquire.com
Revenue founder-stated (Starter Story/Acquire) — grew from about $2.4K ARR to $1.7M in under a year. Purchase price disclosed only as 'five figures'.
5-figure buy → $1.7M ARR in under a year.
03Weight class — CENTStap an axis
ControlEntryNeedTimeScale
Control Mid
Owns the brand, domain and paying base, but the underlying scraping tech is commoditized and easily copied.
04The key move
Buy the traffic
On Acquire.com he found a scraper making almost nothing but sitting on real SEO traffic and signups. He read it as a proven market with a broken product — the cheapest bet: five figures, then a 3-week rebuild.
fact
The counter-intuitive move
Read it wrong and you buy a dead market — the users never meant to pay. Most 'traffic-rich' cheap SaaS on Acquire stays dead for exactly that reason.
our read
05Where the moat is
Thin market, but three edges he inherited or built cheap:
Inherited SEO rankings — years of backlinks, freeLow-cost Asia dev team = fast, cheap rebuildsEnterprise contracts raise switching costOwns 'AI scraper' search real estate
06How it diesmedium confidence
Thin moat: target sites raise anti-bot walls, rivals undercut, AI vendors bundle scraping free. If the inherited rankings slip or the arms race outruns a lean team, it slides back to 'signups, no payers.' our read
Show evidence · counter
Evidence: Scraping is a live price war: ScraperAPI, Apify, Bright Data and Octoparse chase the same keywords and undercut on token pricing.
Counter: For now, enterprise deals and inherited rankings compound rather than erode — revenue jumped from about $2.4K to $1.7M ARR in a year.
07Against rivals
MrScraper$49-199/mo
ScraperAPIfrom $49/mo
Apifyfrom $49/mo
Bright Data$500+/mo
Scraping is a commodity price war; MrScraper competes on UX and inherited SEO, not on being cheapest. Rival prices approximate. our read
08Who uses it
Lead-gen agenciesE-commerce price trackersSaaS data teamsEnterprise marketersAI data pipelines
Would it work for you?
Would you rather buy a broken product with proven traffic, or build a perfect one and pray anyone shows up?
Acqui-grow swaps product risk for inherited demand. Fits builders who fix fast, hate cold-starts. We don't score you — you answer.
🚀Use it as a launchpada prompt for your own AI
Copy → paste into your AI → then develop it freely in the conversation.
You are a sharp, honest startup strategist. Use the proven case below as a launchpad for MY idea — help me find my own angle, not copy it. <my_profile> Domain I know: [your domain] My unfair advantage (access/audience): [your edge] Interests: [your interests] Resources & goal: [your resources] · [your goal] </my_profile> <case name="MrScraper" model="devtool"> What it does: A near-dead web scraper (about $2.4K ARR) bought for five figures on Acquire.com, rebuilt in 3 weeks, and grown to $1.7M ARR in under a year. Why it won (moat): Inherited SEO rankings plus a low-cost Asia dev team that could rebuild and out-operate rivals cheaply. Weakest axis (CENTS): Commodity scraping market — low entry barrier, price wars, and an anti-bot arms race. How it could die: Rankings slip or rivals/AI vendors commoditize scraping to free, and it reverts to signups-without-payers. </case> <task> Be a skeptical operator, not a cheerleader. No generic startup platitudes. If my angle is weak, say so plainly. First, a reality check: markets like this mostly fail. State the honest base rate (how crowded/hard is this?) and the ONE specific thing that would have to be true for ME to be the exception — grounded in my profile above. Then a compact table: - Fit — does this pattern suit my edge, or fight my gap? - Angle — my sharpest differentiation vs MrScraper (concrete, not "better UX") - Distribution — exactly where my first 100 users come from (this is the hardest part — be specific, not "content marketing") - Risk — its "how it dies" (above) in MY situation Finish with one line: "The single thing to do next." Use only the facts above; if data is thin, say so — never invent numbers. Then stay with me and go deeper on whatever I ask — tech stack, rough cost & time, the smallest MVP to test, pricing, or timing. </task>
✓ Copied — paste into your AI
👤Placeholders like [your domain] auto-fill from your profile — example values for now.Set up profile →
Sourcesupdated · daily
Revenue ($1.7M ARR / about $140K MRR, mid-2025) is founder-stated via Starter Story and publicly endorsed by Acquire.com CEO Andrew Gazdecki — not audited. The near-$0 start ($2.4K ARR at purchase) is founder-stated and consistent with Latka's tiny 2023 figure. Purchase price is disclosed only as 'five figures,' so the exact multiple is unknown. Later 2025 promo pieces claim it reached 'eight figures ARR' with 60+ staff; I treat that as unverified self-promotion and did not headline it. Rival prices are approximate. The 'buyable = SEO traffic as proof of demand' read is documented; the failure-mode framing is [our read]. We never score you.