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

1. Open the actor and click Start.
2. Set Max Items to the number of listings you want (or leave at the default to get all ~55).
3. 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:

1. Index phase — Paginates through https://investors.club/listings/page/1 through /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.

2. 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.

Runs are fast and cheap.

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 null for listings that do not disclose full financials.
• The actor scrapes publicly visible data only; no login or authentication is required.