Skill: ralyodio/linkedin-easy-apply-automation (version 1.0.0)

--- name: linkedin-easy-apply description: Automate LinkedIn Easy Apply searches and applications with Puppeteer/Chromium, a verified resume PDF, remote/job-title filtering, stateful daily reruns, and conservative answer guardrails. when_to_use: Use when you need an AI agent to search LinkedIn jobs and submit LinkedIn Easy Apply applications from a verified resume PDF. license: MIT metadata: supported_agents: - claude-code - openclaw - hermes - codex - cursor - windsurf - goose - aider - roo-code - cline tags: [jobs, linkedin, automation, puppeteer, easy-apply] --- # LinkedIn Easy Apply Automation This skill helps an AI coding/operations agent build and run a repeatable LinkedIn Easy Apply workflow. It is intentionally public and credential-free. It contains no usernames, passwords, cookies, private profile paths, or user-specific secrets. ## What it does - Searches LinkedIn Jobs with Easy Apply enabled. - Supports remote-only and location-constrained searches. - Focuses on configurable role keywords such as AI, LLM, Claude, OpenAI, Codex, full-stack, frontend, backend, web, software, JavaScript, TypeScript, Node, React, and Svelte. - Opens the LinkedIn Easy Apply flow reliably with a direct apply URL when possible. - Uploads a verified resume PDF. - Answers only verified applicant facts. - Skips unknown required questions, compensation questions, custom essays, or subjective fields. - Keeps state and JSONL logs so daily reruns avoid duplicates. ## Safety rules - Do not store LinkedIn credentials in scripts, skills, memory, logs, or reports. - Prefer a persistent browser profile where the operator logs in manually once. - Stop for CAPTCHA, MFA, suspicious-login checks, identity verification, or account-security prompts. - Do not fabricate applicant facts. - Do not answer custom freeform questions or compensation expectations without operator-provided answers. - Re-check full job descriptions for hybrid/location constraints before submitting remote-only applications. ## Environment variables ```bash RESUME_PDF=/absolute/path/to/resume.pdf CHROME_PROFILE=$HOME/.cache/linkedin-chrome STATE_DIR=/tmp/linkedin-easyapply-daily MAX_SCAN=80 MAX_APPLY=10 DRY_RUN=1 SEARCHES='Claude|OpenAI|Codex|LLM engineer|AI engineer|full stack engineer|software engineer' LOCATION='United States' REMOTE_ONLY=1 ``` ## Puppeteer launch pattern ```js const puppeteer = require('puppeteer'); const browser = await puppeteer.launch({ headless: false, executablePath: process.env.CHROME_BIN || '/snap/bin/chromium', userDataDir: process.env.CHROME_PROFILE || `${process.env.HOME}/.cache/linkedin-chrome`, defaultViewport: null, args: ['--no-sandbox', '--disable-setuid-sandbox', '--disable-dev-shm-usage', '--start-maximized'] }); const page = await browser.newPage(); page.setDefaultTimeout(30000); page.on('dialog', async d => { try { if (d.type() === 'beforeunload') await d.accept(); else await d.dismiss(); } catch {} }); ``` ## Search workflow Build LinkedIn Jobs URLs using explicit filters: - `f_AL=true` for Easy Apply. - Remote filter when remote-only is required. - Location such as `United States` when requested. - Configurable keywords matching the resume and target market. Keep candidates only when the card/page supports the requested constraints and the title/description matches the target role family. ## Direct Easy Apply URL When a LinkedIn job ID is known, try the direct flow first: ```js const applyUrl = `https://www.linkedin.com/jobs/view/${jobId}/apply/?openSDUIApplyFlow=true`; await page.goto(applyUrl, { waitUntil: 'domcontentloaded', timeout: 60000 }); ``` If the modal does not open, fall back to clicking visible `Easy Apply` controls across buttons and links. ## Conservative answer rules Answer only facts that are verified by the resume, profile, or explicit operator instruction: - Work authorization / eligible to work: yes only if verified. - Visa sponsorship required: no only if verified. - Remote willingness: yes only for remote-only searches. - Years of experience: use resume-backed values or a user-approved mapping. - Email/phone/location: use existing profile/resume facts. - Middle name: blank if none provided. Skip: - Salary/compensation expectations. - Cover-letter text prompts. - Custom essays. - Relocation/hybrid/travel if not approved. - Unclear required inputs, radios, or selects. ## Multi-step apply loop 1. Open the apply flow. 2. Detect already-submitted applications. 3. Upload/select the verified resume PDF if needed. 4. Inspect each step's visible inputs/selects/radios. 5. Fill only safe verified answers. 6. Click `Next`, `Review`, then `Submit application` only when no unknown required fields remain. 7. Log submitted/skipped state. ## Suggested state ```json { "seen": {}, "applied": {}, "skipped": {}, "alreadySubmitted": {} } ``` Write state and logs to: ```text /tmp/linkedin-easyapply-daily/state.json /tmp/linkedin-easyapply-daily/results.jsonl ``` ## Reporting Report concise results: ```text Submitted: - Title — Company — URL Skipped: - Title — Company — URL — reason State: /tmp/linkedin-easyapply-daily/state.json Log: /tmp/linkedin-easyapply-daily/results.jsonl ``` ## Pitfalls - Built-in browser tools often time out on LinkedIn. Puppeteer with Chromium and Xvfb is usually more reliable. - LinkedIn search cards can say Remote while the description includes hybrid/local constraints. Inspect the full page before applying. - Broad keyword matching can create bad answers. Avoid treating generic words like `United States` or `comfortable` as approval. - Direct DOM value assignment may not update React forms. Prefer click/type and dispatch input/change events. - If a page detaches or a modal closes unexpectedly, create a new page and continue from the state file.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)