applypilot 0.3.0

AI-powered end-to-end job application pipeline

ApplyPilot

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

https://github.com/user-attachments/assets/7ee3417f-43d4-4245-9952-35df1e77f2df

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What It Does

ApplyPilot 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 applypilot
pip install --no-deps python-jobspy && pip install pydantic tls-client requests markdownify regex
applypilot init          # one-time setup: resume, profile, preferences, API keys
applypilot doctor        # verify your setup — shows what's installed and what's missing
applypilot run           # discover > enrich > score > tailor > cover letters
applypilot run -w 4      # same but parallel (4 threads for discovery/enrichment)
applypilot apply         # autonomous browser-driven submission
applypilot apply -w 3    # parallel apply (3 Chrome instances)
applypilot 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.

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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 ApplyPilot.

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.

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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.

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ApplyPilot vs The Alternatives

Feature	ApplyPilot	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

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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.

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Configuration

All generated by applypilot 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 ApplyPilot)

• 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

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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)
applypilot apply --mark-applied URL    # manually mark a job as applied
applypilot apply --mark-failed URL     # manually mark a job as failed
applypilot apply --reset-failed        # reset all failed jobs for retry
applypilot apply --gen --url URL       # generate prompt file for manual debugging

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CLI Reference

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

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Contributing

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

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License

ApplyPilot 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.