create-scraperlisted
Install: claude install-skill chrisdothtml/ai-job-finder
Your goal is to explore a company's careers page and write a permanent, reliable `Scraper` subclass that other code can use going forward. The argument is either:
1. the name of a company, e.g. `/create-scraper netflix`
2. a careers page URL, e.g. `/create-scraper https://explore.jobs.netflix.net/careers`, or
## Step 1a - Identify the url for the careers page
If the careers page has been provided as the argument, move to the next step; otherwise search "[company-name] careers" on google and navigate until you find the careers page.
## Step 1b — Identify the company name
Derive the class name and filename from the company's domain or brand name. E.g.:
- `explore.jobs.netflix.net` → `NetflixScraper` → `src/analysis/scraping/NetflixScraper.ts`
- `jobs.stripe.com` → `StripeScraper` → `src/analysis/scraping/StripeScraper.ts`
## Step 2 — Navigate and capture network traffic
The goal is to find a JSON API the page calls internally — these are far more reliable than DOM scraping.
1. Navigate to the URL with `browser_navigate`
2. Immediately inject a network monitor via `browser_evaluate`:
```js
window.__reqs = [];
const _f = window.fetch.bind(window);
window.fetch = function (input, init) {
const url =
typeof input === 'string'
? input
: input instanceof URL
? input.href
: input.url;
window.__reqs.push({ url, method: (init?.method || 'GET').toUpperCase() });
return _f(input, init);
};
const _open = XMLHttpRequest.prototype.open;
XMLHttp