rodado
fb67c38edd
- move temp scripts to scripts/, cv files to cv/, jobs.csv to results/ - update index.ts and recheck.ts CSV path to results/jobs.csv - fix imports in scripts/ to use ../config.ts and ../fetch.ts - update CLAUDE.md and README.md to reflect new structure - add plans/ with LinkedIn post drafts - update .gitignore: ignore results/, jobs/, cv binaries, .DS_Store
153 lines
7.5 KiB
Markdown
153 lines
7.5 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Commands
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| command | what it does |
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|---|---|
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| `bun fetch` | run all searches in `config.ts`, append new jobs to `results/jobs.csv` |
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| `bun recheck` | fetch in raw mode, list filtered-out jobs + word-frequency keyword suggestions |
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Temp scripts: `bun run scripts/<name>-temp.ts` — never edit `config.ts` for one-off searches.
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## Structure
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```
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config.ts # search keywords and areas
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fetch.ts # scraper, HTML parser, all filters
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fetch-other.ts # extra sources (datacareer.ch, stellen-basel.ch)
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index.ts # orchestrator: runs searches, writes CSV
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recheck.ts # raw-mode fetch, lists filtered-out jobs
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scripts/ # one-off search scripts; import from ../config.ts and ../fetch.ts
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cv/polo.md # Rafael's profile — use for ranking jobs
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cv/ # CV files (html, pdf, odt)
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results/jobs.csv # output — one row per job
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jobs/ # notes on specific job leads
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plans/ # LinkedIn post drafts
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```
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## Architecture
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- **`config.ts`** — `KEYWORDS` string (joined with ` OR `) and `searches: SearchConfig[]`. Edit here to add/remove search areas or keywords.
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- **`fetch.ts`** — HTTP scraping, HTML parsing, and all filters. Exports `fetchJobs(config, { raw? })` and `isEnglishContent(id)`.
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- **`fetch-other.ts`** — scrapes extra sources (datacareer.ch, stellen-basel.ch). Imported by `index.ts`.
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- **`index.ts`** — orchestrator: loads existing IDs from `results/jobs.csv`, calls `fetchJobs`, calls `isEnglishContent` for each new job, appends survivors to CSV.
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- **`recheck.ts`** — calls `fetchJobs(..., { raw: true })` to bypass `SOFTWARE_TITLE_RE`, then lists every new job that *would* be filtered out and prints word-frequency suggestions.
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### Filter pipeline (applied in order)
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1. **Switzerland location guard** (card HTML) — extracts `job-search-card__location` from each card; drops jobs where location doesn't contain "Switzerland". Prevents LinkedIn from returning global results when geoId is ignored on unauthenticated requests.
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2. **`NON_ENGLISH_RE`** (title) — drops German gender markers, umlauts, `/in` suffix, French accents/markers. Runs inside `fetchJobs`.
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3. **`JUNIOR_TITLE_RE`** (title) — drops junior/intern/trainee/werkstudent. Runs inside `fetchJobs`.
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4. **`JAVA_TITLE_RE`** (title) — drops Java-titled roles. Runs inside `fetchJobs`.
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5. **`SOFTWARE_TITLE_RE`** (title) — requires a relevant tech/role term. Skipped when `raw: true`. Runs inside `fetchJobs`.
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6. **`isEnglishContent`** (description page) — fetches the job page, counts DE/FR indicator words, drops if ≥ 6 matches. Runs in `index.ts` only (not `recheck.ts`). Adds 350 ms delay per job.
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Deduplication: job IDs are extracted from `results/jobs.csv` on startup; any ID already seen is skipped before content-checking.
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### SearchConfig
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`url` overrides all filter params. Otherwise build from: `keywords`, `geoId`/`location`, `workType`, `jobType`, `timePosted`, `seniority`.
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Known Swiss geoIds:
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- Basel city: `103383283`
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- Basel Metropolitan Area: `90009885`
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- Basel-Country: `107117530`
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- Zürich city: `102436504`
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- Zürich Metropolitan Area: `107814425`
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- Zürich Area: `90009888`
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Use `location: "City, Switzerland"` (no `geoId`) when the geoId is unknown — LinkedIn resolves by name.
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**Auth warning:** Do NOT send the `li_at` cookie in job search requests (`/jobs/search/`). With the cookie, LinkedIn serves the React SPA instead of server-rendered HTML, breaking the card parser entirely. The cookie is only useful for individual profile pages.
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## Searching any city / mode temporarily
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Write a throwaway script in `scripts/` (e.g. `scripts/bern-temp.ts`) — **never touch `config.ts`** unless the user explicitly asks to save the change. Delete temp scripts after the session unless the user asks to keep them.
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Common patterns:
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```ts
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// City search (onsite + hybrid)
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import { KEYWORDS } from "../config.ts";
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import { fetchJobs } from "../fetch.ts";
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import type { SearchConfig } from "../config.ts";
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const config: SearchConfig = {
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label: "Bern", keywords: KEYWORDS, location: "Bern, Switzerland",
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workType: ["onsite", "hybrid"], timePosted: "month",
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};
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const jobs = await fetchJobs(config);
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for (const j of jobs) console.log(j.title, j.company, j.link);
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```
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```ts
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// Remote-only across all Switzerland
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const config: SearchConfig = {
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label: "Switzerland Remote", keywords: KEYWORDS, location: "Switzerland",
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workType: ["remote"], timePosted: "month",
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};
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```
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```ts
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// Description-level keyword check (e.g. Ruby/Rails)
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const RUBY_RE = /\bruby\b|\brails\b/i;
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// fetch each job page, test RUBY_RE against the description text
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```
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Extra filters for temp scripts (import from `../fetch.ts`):
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- `JAVA_TITLE_RE` — drop Java roles
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- `JUNIOR_TITLE_RE` — drop junior/intern
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- `isEnglishContent(id)` — drop DE/FR description content
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- Add your own inline RE for EMEA, .NET, etc.
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## Ranking jobs against the CV
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Read `cv/polo.md` for the full profile. Key signals:
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- **Seniority**: Senior / Staff / Principal / Lead / Architect — weight titles accordingly
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- **Core stack**: Python · TypeScript · Ruby on Rails · React · Node.js
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- **Domain strengths**: platform engineering · data pipelines · AI/LLM integrations · DevOps (Docker, Kubernetes, CI/CD, AWS)
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- **Background edges**: fintech/CBDC (Moedax), civic tech (Tactical Tech / GFOSS), independent consulting (ExtraPolo, 40+ projects)
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- **Languages**: English (full) · German B1 TELC certified · Spanish (full) — flag roles requiring C1+ German
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- **Location**: based in Basel, open to Basel / Bern / Zürich; EU citizen, no permit needed
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## Output format
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Present jobs as a markdown table: `#`, `Title`, `Company`, `Why it fits`, `Link`.
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Links use just the job ID as anchor text: `[4192954199](https://www.linkedin.com/jobs/view/4192954199/)`
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## Workflow: "find jobs in X city / remote / custom search"
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1. Write a temp script in `scripts/` with the right `SearchConfig` (city, workType, custom keywords).
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2. Apply extra inline filters as needed: EMEA, .NET, description-level keyword check.
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3. Run `isEnglishContent` per job to drop DE/FR content.
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4. Rank survivors against `cv/polo.md`, present as a table.
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5. Delete temp scripts after the session unless asked to keep them.
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## LinkedIn session token
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`.env` contains `LI_AT` — the LinkedIn session cookie (`li_at` value). Use it to fetch authenticated LinkedIn pages via curl:
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```bash
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curl -s "https://www.linkedin.com/in/<slug>" \
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-H "Cookie: li_at=$(grep LI_AT .env | cut -d= -f2-)" \
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-H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36" \
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--compressed -o /tmp/profile.html
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```
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**What works:** Full HTML pages for profiles that don't 999-block (varies by profile). Extract data with Python regex on the HTML.
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**What doesn't:** LinkedIn Voyager API returns 401/403 (CSRF issues). `ch.linkedin.com` slugs sometimes work when `www.linkedin.com` returns HTTP 999. Public profiles without login redirect to a 1530-byte JS stub — no useful data.
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**Tip:** Profile data is embedded as escaped JSON in the HTML. Use `html.unescape()` + regex for `"headline"`, `"locationName"`, `defaultLocalizedName` fields.
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## Workflow: "check if new keywords should be added"
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1. Run `bun recheck`.
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2. Identify false negatives — real software roles that got dropped.
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3. Ignore generic frequency suggestions (`engineer`, `development`, `senior`).
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4. Propose specific additions to `SOFTWARE_TITLE_RE` in `fetch.ts` or words to `NON_ENGLISH_RE`.
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