A field guide to scraping with AI

Learn to scrape like a pro with Claude.

Scraping used to belong to engineers. Now if you know who you want to sell to, Claude can do the rest. This site teaches the whole system, starting with the free playbook.

Who this is for

Built for go-to-market teams. No engineers required.

Every GTM team hits the same wall. You know exactly who you want to reach, but getting the list is the hard part. The usual options: pay Apollo or Clay for the same data every competitor has, or hand it to an agency that doesn't know your market. The third option is learning to build it yourself with AI. This site is for the third option.

Marketers

Map your whole market, segment it by the software each company runs, and build ad audiences from public data instead of bought lists. Scraped data is proprietary data. Nobody else has it, so it fuels content your audience can't get anywhere else.

Sales & SDRs

Build the territory list with verified emails, then rank it so the best-fit accounts float to the top of the call sheet.

RevOps

Fill the empty fields in the CRM. Enrich thousands of accounts overnight for less than a data vendor's demo call costs.

Use cases

Build the list. Find the signal. Feed the outbound.

Most teams stop at the first one. The playbook walks all three through one golf story, start to finish.

Pebble Beach Golf Links ✓ verified
Erin Hills ✓ verified
Chambers Bay ✓ verified
Reason 1
Build the list

Every company in your market in one spreadsheet, with the people who run them and emails that don't bounce. Imagine 16,000 golf courses and their general managers found overnight.

Read it in the playbook
pebblebeach.com legacy system
erinhills.com modern system
chambersbaygolf.com legacy system
Reason 2
Find the signal

What a prospect's own website tells you that changes the pitch. The golf version: which booking system every course runs, and what kind of course it is. The flat list becomes a ranked pipeline.

Read it in the playbook
CRM BDR call sheets Cold email Direct mail Ad audiences Content
Reason 3
Feed the outbound

One scraped table powers every channel you run: CRM for sales, ranked call sheets for BDRs, cold email that knows the prospect, direct mail, custom ad audiences, even content built on data only you have.

Read it in the playbook

If it's public, it's scrapeable:

Google Maps LinkedIn Reddit Instagram YouTube industry directories government datasets any prospect's website

And it lands in the tools you already run:

HubSpot Salesforce Google Sheets Instantly Smartlead ad audiences anything that takes a CSV anything with an API

The playbook

The whole system, written down.

The Scrape With Claude Playbook is the golf story above told start to finish, plus the system behind every case on this page: find the companies in your market, find the people who run them, turn both into outbound. Seven techniques, three copy-paste playbooks, a five-minute setup.

Reads in one sitting. No paid tier, no held-back chapter.

golf-scrape · terminal
$ claude
scraping golf-courses.csv · overnight run
→ scraping pebblebeach.com ... ✓ contact found
→ scraping erinhills.com ... ✓ contact found
→ scraping chambersbaygolf.com ... ✓ contact found

verified contacts: 312 / 400   avg cost: $0.029
sample from a real run, contacts masked

What you'll learn

Seven moves that unlock all of it. Almost nobody shares them.

Each one also has its own plain-English walkthrough with prompts you can copy.

The tools

Six tools, set up in five minutes.

The playbook walks you through every one. Claude Code does the work, the rest are what it reaches for when a site needs more than a plain read. Each link explains the tool in plain English.

The next step

Get the playbook. Run your first scrape this week.

Seven techniques, three copy-paste playbooks, the exact tools, 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 scrape with Claude every week: market maps, enriched lists, verified contacts for real campaigns. So I wrote down how I actually do it.

Everything here works. The sample data is made up to protect anyone's real numbers, but the techniques are exactly what I run. More about me at chris-as-is.com.

One more thing. If you want a hand with any of this, or you've got a project in mind, get in touch. Tell me what you're working on.

DM me @chris_as_is