create-scraper

create-scraper is a skill for Claude Code from chrisdothtml/ai-job-finder. It costs 46 tokens per session (1,892 once invoked), scanned A, original, MIT.

A browser-based tool for examining a company's careers page and finding how its job listings are loaded, often through an internal data service rather than the visible page.

In plain words
What is it for?
Use it to create a TypeScript scraper for one company or to check a list of companies and add scrapers where existing ones do not work.
Why use it?
It avoids building a scraper that depends on fragile page layout and may break when the careers site changes.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is import { cachedFetch } from '../fetch.ts';.

Good fit Use it to create a TypeScript scraper for one company or to check a list of companies and add scrapers where existing ones do not work.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/chrisdothtml/ai-job-finder
agentmods
npx agentmods add skills/chrisdothtml/ai-job-finder/create-scraper

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for create-scraper

README.md
[![agentmods](https://agentmods.dev/badge/skills/chrisdothtml/ai-job-finder/create-scraper.svg)](https://agentmods.dev/skills/chrisdothtml/ai-job-finder/create-scraper)
Your own site
<a href="https://agentmods.dev/skills/chrisdothtml/ai-job-finder/create-scraper"><img src="https://agentmods.dev/badge/skills/chrisdothtml/ai-job-finder/create-scraper.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.01892
Opus 5 $0.00023 $0.00946
Sonnet 5 $0.00009 $0.00378
Haiku 4.5 $0.00005 $0.00189

Measured 8d ago against content hash d210e5ae1abf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

create-scraper scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/create-scraper/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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
  3. a json file containing a list of company names, e.g. /create-scraper .data/companies.json (in this case, you'll want to go through each company and determine if any existing scrapers work for it, or if a new one needs to be made)

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" via the WebSearch tool 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.netNetflixScrapersrc/analysis/scraping/NetflixScraper.ts
  • jobs.stripe.comStripeScrapersrc/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:
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;
XMLHttpRequest.prototype.open = function (method, url) {
  window.__reqs.push({ url: String(url), method: method.toUpperCase() });
  return _open.apply(this, arguments);
};
  1. Take a browser_snapshot to understand the page structure
  2. Interact with the page to trigger data loads: scroll to the bottom, wait a moment, then retrieve what was captured:

Read the full file on GitHub · 173 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 173 lines · 46 tokens per session scan A d210e5ae1abf

Subscribe to this mod's changes

create-scraper is a skill published in the GitHub repository chrisdothtml/ai-job-finder (3 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 1,892 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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