Investors Club Vetted Online Business Listings Scraper
Investors Club Vetted Online Business Listings Scraper
Scrape vetted online-business-for-sale listings from Investors.Club, a curated digital-asset marketplace. Extracts structured financial data — asking price, annual and monthly revenue and profit, multiples, niche, and age — for every active listing across all 4 listing pages (~55 listings total).
What it extracts
| Field | Description |
|---|---|
listing_id |
Numeric listing ID (from URL slug) |
title |
Listing title |
slug |
URL slug (id-name format) |
detail_url |
Full URL to the listing detail page |
business_model |
Business model category (e.g. SaaS, Ecommerce, Website, Amazon, Blog) |
niche |
Industry or niche (e.g. Entertainment, Business, Sport) |
asking_price |
Asking price in USD |
annual_profit |
Annual net profit in USD |
annual_revenue |
Annual gross revenue in USD |
monthly_profit |
Monthly net profit in USD (annual / 12) |
monthly_revenue |
Monthly gross revenue in USD (annual / 12) |
multiple |
Profit multiple (asking price / annual profit) |
age_years |
Age of the business in years |
status |
Listing status: available, under_offer, or sold |
Usage
- Open the actor and click Start.
- Set Max Items to the number of listings you want (or leave at the default to get all ~55).
- Results appear in the Dataset tab.
Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
maxItems |
integer | 10 | Maximum number of listings to scrape |
Example output
{
"listing_id": "96660",
"title": "Gaming Tools Content Site",
"slug": "96660-gaming-tools-content-site",
"detail_url": "https://investors.club/listing/96660-gaming-tools-content-site/",
"business_model": "Website",
"niche": "Entertainment",
"asking_price": 11996,
"annual_profit": 1749,
"annual_revenue": 1858,
"monthly_profit": 146,
"monthly_revenue": 155,
"multiple": 6.86,
"age_years": 1,
"status": "available"
}
How it works
The actor uses a two-phase crawl:
Index phase — Paginates through
https://investors.club/listings/page/1through/page/4(4 pages, ~15 listings each). Extracts the title, URL, business model, asking price, niche, annual profit, profit multiple, and established year from each listing card.Detail phase — Visits each listing's detail page to collect the full financial picture: annual gross revenue and revenue multiple from the Elementor widget blocks on the listing page.
The site is server-rendered WordPress with no Cloudflare or anti-bot protection. No proxy is required.
Use cases
- M&A deal sourcing — Build comparable sets alongside Empire Flippers and Acquire.com data to evaluate online business acquisitions.
- Market research — Track asking prices and multiples across business models and niches over time.
- Investment screening — Filter listings by revenue multiple, annual profit, or business model for portfolio fit.
- Competitor benchmarking — Understand pricing trends in the vetted-marketplace segment.
Notes
- Investors.Club curates its listings — the total active inventory is typically 50–150 listings at any given time.
- Financial fields may be
nullfor listings that do not disclose full financials. - The actor scrapes publicly visible data only; no login or authentication is required.