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ClawCV

Applied to 1,000 jobs in 2 days. Fully autonomous. Open source.

PyPI version Python 3.11+ License: AGPL-3.0 GitHub stars ko-fi


What It Does

ClawCV is a 6-stage autonomous job application pipeline. It discovers jobs across 5+ boards, scores them against your resume with AI, tailors your resume per job, writes cover letters, and submits applications for you. It navigates forms, uploads documents, answers screening questions, all hands-free.

Three commands. That's it.

pip install clawcv
pip install --no-deps python-jobspy && pip install pydantic tls-client requests markdownify regex
clawcv init          # one-time setup: resume, profile, preferences, API keys
clawcv doctor        # verify your setup — shows what's installed and what's missing
clawcv run           # discover > enrich > score > tailor > cover letters
clawcv run -w 4      # same but parallel (4 threads for discovery/enrichment)
clawcv apply         # autonomous browser-driven submission
clawcv apply -w 3    # parallel apply (3 Chrome instances)
clawcv apply --dry-run  # fill forms without submitting

Why two install commands? python-jobspy pins an exact numpy version in its metadata that conflicts with pip's resolver, but works fine at runtime with any modern numpy. The --no-deps flag bypasses the resolver; the second command installs jobspy's actual runtime dependencies. Everything except python-jobspy installs normally.


Two Paths

Full Pipeline (recommended)

Requires: Python 3.11+, Node.js (for npx), Gemini API key (free), Claude Code CLI, Chrome

Runs all 6 stages, from job discovery to autonomous application submission. This is the full power of ClawCV.

Discovery + Tailoring Only

Requires: Python 3.11+, Gemini API key (free)

Runs stages 1-5: discovers jobs, scores them, tailors your resume, generates cover letters. You submit applications manually with the AI-prepared materials.


The Pipeline

Stage What Happens
1. Discover Scrapes 5 job boards (Indeed, LinkedIn, Glassdoor, ZipRecruiter, Google Jobs) + 48 Workday employer portals + 30 direct career sites
2. Enrich Fetches full job descriptions via JSON-LD, CSS selectors, or AI-powered extraction
3. Score AI rates every job 1-10 based on your resume and preferences. Only high-fit jobs proceed
4. Tailor AI rewrites your resume per job: reorganizes, emphasizes relevant experience, adds keywords. Never fabricates
5. Cover Letter AI generates a targeted cover letter per job
6. Auto-Apply Claude Code navigates application forms, fills fields, uploads documents, answers questions, and submits

Each stage is independent. Run them all or pick what you need.


ClawCV vs The Alternatives

Feature ClawCV AIHawk Manual
Job discovery 5 boards + Workday + direct sites LinkedIn only One board at a time
AI scoring 1-10 fit score per job Basic filtering Your gut feeling
Resume tailoring Per-job AI rewrite Template-based Hours per application
Auto-apply Full form navigation + submission LinkedIn Easy Apply only Click, type, repeat
Supported sites Indeed, LinkedIn, Glassdoor, ZipRecruiter, Google Jobs, 46 Workday portals, 28 direct sites LinkedIn Whatever you open
License AGPL-3.0 MIT N/A

Requirements

Component Required For Details
Python 3.11+ Everything Core runtime
Node.js 18+ Auto-apply Needed for npx to run Playwright MCP server
Gemini API key Scoring, tailoring, cover letters Free tier (15 RPM / 1M tokens/day) is enough
Chrome/Chromium Auto-apply Auto-detected on most systems
Claude Code CLI Auto-apply Install from claude.ai/code

Gemini API key is free. Get one at aistudio.google.com. OpenAI and local models (Ollama/llama.cpp) are also supported.

Optional

Component What It Does
CapSolver API key Solves CAPTCHAs during auto-apply (hCaptcha, reCAPTCHA, Turnstile, FunCaptcha). Without it, CAPTCHA-blocked applications just fail gracefully

Note: python-jobspy is installed separately with --no-deps because it pins an exact numpy version in its metadata that conflicts with pip's resolver. It works fine with modern numpy at runtime.


Configuration

All generated by clawcv init:

profile.json

Your personal data in one structured file: contact info, work authorization, compensation, experience, skills, resume facts (preserved during tailoring), and EEO defaults. Powers scoring, tailoring, and form auto-fill.

searches.yaml

Job search queries, target titles, locations, boards. Run multiple searches with different parameters.

.env

API keys and runtime config: GEMINI_API_KEY, LLM_MODEL, CAPSOLVER_API_KEY (optional).

Package configs (shipped with ClawCV)

  • config/employers.yaml - Workday employer registry (48 preconfigured)
  • config/sites.yaml - Direct career sites (30+), blocked sites, base URLs, manual ATS domains
  • config/searches.example.yaml - Example search configuration

How Stages Work

Discover

Queries Indeed, LinkedIn, Glassdoor, ZipRecruiter, Google Jobs via JobSpy. Scrapes 48 Workday employer portals (configurable in employers.yaml). Hits 30 direct career sites with custom extractors. Deduplicates by URL.

Enrich

Visits each job URL and extracts the full description. 3-tier cascade: JSON-LD structured data, then CSS selector patterns, then AI-powered extraction for unknown layouts.

Score

AI scores every job 1-10 against your profile. 9-10 = strong match, 7-8 = good, 5-6 = moderate, 1-4 = skip. Only jobs above your threshold proceed to tailoring.

Tailor

Generates a custom resume per job: reorders experience, emphasizes relevant skills, incorporates keywords from the job description. Your resume_facts (companies, projects, metrics) are preserved exactly. The AI reorganizes but never fabricates.

Cover Letter

Writes a targeted cover letter per job referencing the specific company, role, and how your experience maps to their requirements.

Auto-Apply

Claude Code launches a Chrome instance, navigates to each application page, detects the form type, fills personal information and work history, uploads the tailored resume and cover letter, answers screening questions with AI, and submits. A live dashboard shows progress in real-time.

The Playwright MCP server is configured automatically at runtime per worker. No manual MCP setup needed.

# Utility modes (no Chrome/Claude needed)
clawcv apply --mark-applied URL    # manually mark a job as applied
clawcv apply --mark-failed URL     # manually mark a job as failed
clawcv apply --reset-failed        # reset all failed jobs for retry
clawcv apply --gen --url URL       # generate prompt file for manual debugging

CLI Reference

clawcv init                         # First-time setup wizard
clawcv doctor                       # Verify setup, diagnose missing requirements
clawcv run [stages...]              # Run pipeline stages (or 'all')
clawcv run --workers 4              # Parallel discovery/enrichment
clawcv run --stream                 # Concurrent stages (streaming mode)
clawcv run --min-score 8            # Override score threshold
clawcv run --dry-run                # Preview without executing
clawcv run --validation lenient     # Relax validation (recommended for Gemini free tier)
clawcv run --validation strict      # Strictest validation (retries on any banned word)
clawcv apply                        # Launch auto-apply
clawcv apply --workers 3            # Parallel browser workers
clawcv apply --dry-run              # Fill forms without submitting
clawcv apply --continuous           # Run forever, polling for new jobs
clawcv apply --headless             # Headless browser mode
clawcv apply --url URL              # Apply to a specific job
clawcv status                       # Pipeline statistics
clawcv dashboard                    # Open HTML results dashboard

Contributing

See CONTRIBUTING.md for development setup, coding standards, and PR guidelines.


License

ClawCV is licensed under the GNU Affero General Public License v3.0.

You are free to use, modify, and distribute this software. If you deploy a modified version as a service, you must release your source code under the same license.

About

ClawCV — AI-powered job hunter. npm install, pip install, or npx. Discovers, scores, tailors, and auto-applies.

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