A field guide to scraping with AI
Point Claude at the public internet and get back almost anything you need: a list of your whole market, a content angle, a dataset nobody else has. The free playbook shows you how.
Use cases
Find all of the companies and contacts you want to sell to. Their names, the software each company runs, verified email addresses, phone numbers and websites.
Scrape a dataset nobody else has, then turn it into content nobody else can make. Proprietary data is the unfair advantage in a feed full of the same takes.
The best conversations start with a clue. Something public about a company that gives you a reason to reach out, an angle the next rep won't have. Claude pulls those signals at scale.
See a real scraping project
Imagine you sell booking software to golf courses. Here's your whole market, mapped: every course, the kind it is, the system it already runs. 91% of private clubs run just three platforms. That kind of pattern is what turns a list into a pipeline.
See the whole project →Inside the playbook
The full method in plain English, with prompts you can copy.
The shortcut
The fastest scrape is the one you don't have to do. A lot of what you'd scrape the hard way is already published, clean and free. Thirty of them are in the playbook. Here's a taste.
The tools
Everything runs in Claude Code. These are the tools the plays reach for, the places the data comes from, and where it lands when you're done.
Claude Code
Playwright
CloakBrowser
Bright Data
Apify
OpenRouter
Google Maps
LinkedIn
Reddit
Instagram
YouTube
industry directories
government datasets
any prospect's website
HubSpot
Salesforce
Google Sheets
Instantly
Smartlead
ad audiences
anything with an API
The next step
Seven techniques, 30 free data sources, four copy-paste playbooks, a five-minute setup. Free.
Who's behind this
I'm Chris. I do marketing and GTM engineering, with over 10 years in B2B SaaS. I've used Claude to create over $10,700,000 in pipeline, so I wrote down how I actually do it.
@chris_as_is