projects/scrapellm-com
Artificial Intelligence#2416 BY REVENUE
S

scrapellm.com

AU· Mar 2026· via stripe
$654
Revenue · 30d
$1K
Total lifetime
$8K
Est. ARR
Revenue trend
JUN 19
start
JUN 22
JUN 29
8.1%
JUL 6
unchanged
JUL 13
unchanged
JUL 20
next
no change recorded across the last 3 snapshots · figure may be stale at the source
https://www.scrapellm.com
scrapellm.com
REVENUE VERIFIED
Top ranked

About scrapellm.com

ScrapeLLM provides an API that allows users to scrape responses from various AI platforms, including ChatGPT, Perplexity, Gemini, and others, delivering structured JSON outputs. This service is designed for developers and businesses that need real user interface responses from these platforms without requiring direct API keys. Users can start with 1500 free credits and benefit from a flat credit pricing model that is presented as a cost-effective alternative to traditional direct API pricing.

The API captures responses as they would appear to an anonymous user, including sources, citations, a…

VibeCrowd AI
Investment companion
AI analysis
Very early revenue traction with strong recent momentum — reporting $654 in the last 30 days, $595 MRR and up +165%.

scrapellm.com is a revenue-stage AU startup focused on extracting product information from public sources (positioned like Brightdata). The numbers show it has paying customers and a clear product focus: $654 of top-line activity and a recurring base of $595, plus a sharp recent lift of +165%, which suggests initial product-market fit or at least effective short-term demand capture.

That said, the absolute revenue base is still small, so sustaining growth will require either quick scaling of sales/marketing or rapid expansion of higher-value customers. The founding date indicates this is a very young company; for founders that means runway and unit-economics discipline will matter. For investors, the high growth rate is encouraging but comes off a small base, and operational risks typical to web-data extraction (source changes, rate limits, compliance) are real execution factors to watch.

Strengths

Clear product focus: extracting product information from public sources, a defined use case
Revenue-stage proof: paying customers and recurring revenue ($595)
Strong recent momentum: +165% 30-day growth suggests accelerating demand

What to watch

Small absolute scale: $654 last 30 days means outcomes hinge on scaling and unit economics
Profit margin and monthly visitors are unknown — that gap matters for understanding profitability and demand channels
Operating risks common to public web extraction (source blocks, legal/compliance constraints) could impact reliability and costs

Best suited for

E-commerce and retail teams that need structured product feeds from public listings
Price-intelligence or market-research teams seeking automated product data extraction
Startups or platforms building product catalogs who want a focused data-extraction partner

A judgment from project data — not a user review.

Generated by VibeCrowd AI from on-platform data·not financial advice·Jul 2026

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