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Scrapling: Sell Competitor Price Alerts to Online Stores
Track rivals’ prices and stock with a free scraper, and sell the alerts as a monthly service.
Online stores lose sales when a competitor quietly drops a price or runs out of stock and nobody notices for a week. Scrapling, a free web scraper, lets you watch those competitors for them and turn it into a monthly service.
What Scrapling is
Scrapling is an open-source Python framework for collecting data from websites, from a single page to a full crawl. It has 69.1k stars on GitHub and a permissive BSD-3-Clause license.
Its selling point is staying power. Most scrapers break the moment a site changes its layout. Scrapling uses what it calls smart element tracking to find the same price or stock label again after a redesign.
- Gets past bot walls: a stealth mode handles protections such as Cloudflare Turnstile.
- Survives redesigns: adaptive parsing relocates the data you asked for when a page changes.
- Crawls at scale: Scrapy-style spiders with pause and resume.
- Works with AI assistants: a built-in MCP server lets Claude pull data from sites on request.
- No-code option: a command-line tool extracts data without writing a script.
The service: weekly competitor price and stock alerts
You track five of a client's rivals, put their prices and stock status in a Google Sheet, and alert the client whenever a price drops or an item sells out. The client can then reprice within minutes instead of finding out a week later.
Who buys it: Shopify and direct-to-consumer brands with 50–500 products, roughly $1–10 million a year in sales, and at least 3–5 named competitors.
Pricing and costs
The video suggests $500 to set up and $300 a month to run it. Your costs are about $40 a month for proxies and a small server.
| Clients | Setup fees | Monthly recurring |
|---|---|---|
| 1 | $500 | $300 |
| 10 | $5,000 | $3,000 |
Upkeep is estimated at around 10 hours a month for 10 clients.
How to find clients
- Search for US companies that use Shopify and have 5–50 employees; that headcount usually means seven- or eight-figure sales.
- Target founders, owners and e-commerce managers, and get verified emails from a people-search tool.
- Lead with proof: send a screenshot of a real price drop by one of their rivals.
Getting started
- Install it:
pip install "scrapling[fetchers]"(Python 3.10 or newer). - Point it at each competitor's product pages and save price and stock to a sheet.
- Schedule it to run daily and send an alert when a value changes.
Watch-outs
- Scrape public product pages only, and respect each site's terms and request limits.
- Proxies are a real monthly cost; include them in your price.
- Check the alerts by hand for the first few weeks before you promise clients "within minutes".
Sources
- Scrapling on GitHub, checked September 28, 2026
- 5 Github repos that print $$$, Corey Ganim (offer, pricing and client-finding ideas)