Add content-level language filter, recheck command, expanded keywords

- isEnglishContent() fetches each job page and drops descriptions with ≥6 German or French indicator words; called for every new job in index.ts before writing to CSV
- New `bun recheck` command (recheck.ts) runs searches in raw mode, lists filtered-out jobs, and prints word-frequency suggestions for SOFTWARE_TITLE_RE
- Expanded KEYWORDS and SOFTWARE_TITLE_RE to cover ML/AI, system/applications engineer, director, informatics, and more title variants
- Added `raw` flag to fetchJobs() to bypass the software-role filter
- Add CLAUDE.md with project workflow docs; add CV files and city temp scripts

README.md

@@ -5,7 +5,8 @@ Scrapes LinkedIn job listings into a local CSV. Run it daily, delete rows you've
 ## Usage
 
 ```bash
-bun fetch
+bun fetch      # scrape and append new jobs to jobs.csv
+bun recheck    # show jobs currently filtered out + keyword suggestions
 ```
 
 No setup needed. Results are appended to `jobs.csv` — reruns are safe, already-seen jobs are skipped by ID.
@@ -30,24 +31,48 @@ Open in any spreadsheet app. Delete rows as you apply or dismiss.
 - **Paginated scraping** — fetches up to 6 pages per search (150 jobs) with a 400 ms delay between pages to avoid rate limiting
 - **Card-boundary-safe parsing** — each job card is isolated before extracting fields, preventing content from adjacent cards bleeding into company or date values
 - **Language filter** — drops German (`m/w/d`, umlauts, gender-marked vocabulary) and French (`H/F`, accented characters) job titles automatically
-- **Software-role filter** — requires the title to contain a relevant term (software, developer, data, AI, backend, devops, platform, architect, technical, solutions, consultant, product/IT/engineering manager, etc.) — eliminates aviation, mechanical, and pharma-process roles that match "Engineer" broadly
-- **Seniority filter** — drops junior, intern, trainee, and apprentice titles
-- **Global deduplication** — job IDs are indexed from the existing CSV on startup; jobs you've already seen are never re-added, even if you delete and re-run
+- **Software-role filter** — requires the title to contain a relevant term (software, developer, data, AI, backend, frontend, devops, platform, architect, tech lead, typescript, python, rails, node.js, ML, cloud, security, SRE, solutions, consultant, applications/system engineer, director, product/IT/engineering manager, staff/principal engineer, CTO, VP engineering, etc.) — eliminates aviation, mechanical, and pharma-process roles that match "Engineer" broadly
+- **Seniority filter** — drops junior, jr., intern, trainee, apprentice, werkstudent, and entry-level titles
+- **Global deduplication** — job IDs are indexed from the existing CSV on startup; jobs you've already seen are never re-added, even if you re-run
 - **30-day recency** — only fetches jobs posted in the last month (`f_TPR=r2592000`)
 
+## recheck
+
+`bun recheck` fetches all three search areas in raw mode (bypassing the software-role filter) and lists every job that would be filtered out — useful for spotting false negatives. It also prints a word-frequency table of the most common terms in filtered titles so you can decide what to add to `SOFTWARE_TITLE_RE`.
+
 ## Configure searches
 
 Edit `config.ts`:
 
 ```ts
-const KEYWORDS = [
+export const KEYWORDS = [
   "Software Engineer",
+  "Solutions Engineer",
   "Full Stack Engineer",
+  "Backend Engineer",
   "Data Engineer",
   "AI Engineer",
+  "Applications Engineer",
+  "Platform Engineer",
+  "DevOps Engineer",
+  "Staff Engineer",
+  "Principal Engineer",
+  "Tech Lead",
+  "Developer",
   "Ruby on Rails",
   "Python",
-  // add or remove freely
+  "Node.js",
+  "TypeScript",
+  "Artificial Intelligence",
+  "Machine Learning",
+  "Data Science",
+  "AI Consultant",
+  "ML Engineer",
+  "Director of Engineering",
+  "Engineering Manager",
+  "Lead Developer",
+  "System Engineer",
+  "Solution Engineer",
 ].join(" OR ");
 
 export const searches: SearchConfig[] = [
@@ -59,6 +84,22 @@ export const searches: SearchConfig[] = [
     workType: ["onsite", "hybrid"],
     timePosted: "month",
   },
+  {
+    label: "Basel Metropolitan Area",
+    keywords: KEYWORDS,
+    geoId: "90009885",
+    location: "Basel Metropolitan Area",
+    workType: ["onsite", "hybrid"],
+    timePosted: "month",
+  },
+  {
+    label: "Basel-Country",
+    keywords: KEYWORDS,
+    geoId: "107117530",
+    location: "Basel-Country",
+    workType: ["onsite", "hybrid"],
+    timePosted: "month",
+  },
 ];
 ```
 
@@ -68,3 +109,5 @@ export const searches: SearchConfig[] = [
 - `107117530` — Basel-Country
 
 You can also paste any LinkedIn search URL directly as `url:` instead of building from filters.
+
+`SearchConfig` also supports `jobType` (full-time, part-time, contract, temporary, internship) and `seniority` (internship, entry, associate, mid-senior, director, executive) to pass LinkedIn's native API filters.