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How I built a Chrome extension that auto-applies to 100 LinkedIn Easy Apply jobs per day

↗ Quelle (dev.to)
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📑 Inhaltsübersicht

Job hunting on LinkedIn is a numbers game. Median reply rate is 4-8%, so if you want to land 5 offers you probably need to apply to 300+ roles. Filling the same Easy Apply form 300 times is soul-destroying, so 18 months ago I started building a Chrome extension that does it for you.



Today it's called or any autofill password manager.






The Easy Apply flow, step by step



When the user clicks "Auto-apply" in the extension popup, the content script:





  1. Reads the visible job cards from the .jobs-search-results-list sidebar

  2. For each card, clicks it to open the detail pane (this is a soft nav — no full page load)


  3. Verifies it's Easy Apply by looking for the .jobs-apply-button with data-live-test-easy-apply attribute. If not, skips.


  4. Clicks Easy Apply. LinkedIn opens a modal with the multi-step form.


  5. Walks the form pages. Each page has different fields — name, email, phone, resume upload, custom screening questions.


  6. Fills known fields from the user's profile (stored in the extension's chrome.storage.local)


  7. Uploads resume by creating a File object from the stored blob and dispatching a change event on the <input type="file">


  8. Answers screening questions via Groq — sends the question + user's profile summary, expects a single-line answer that matches the input type (short-text, number, radio)


  9. Clicks Submit, waits for the "Application sent" confirmation, closes the modal


  10. Delays 2-5s randomized, moves to the next card



The pattern is boring on purpose. No fancy async pipelines. No parallel tabs. Just a synchronous walk down the list with realistic delays.






The three safety rules that matter



LinkedIn's ML abuse detection is not looking for "does this account use a bot." It's looking for behavioral signatures. Three rules keep AutoApplyMax users under the radar:






Rule 1 — Never faster than a fast human



Timing between "click Easy Apply" and "click Submit" for a 4-step form: humans do it in 30-90 seconds. AutoApplyMax targets 40-80 seconds. Delays between actions are randomized in a 2000 + Math.random() * 3000 ms window. Never a fixed 500ms. That's the giveaway.






Rule 2 — Daily cap at 100-150



Above 150 applications/day from one account, LinkedIn's Retryable-Errors: LIMIT_EXCEEDED starts showing up on Easy Apply modals. Above 200, temporary restrictions start. So the extension has a hard-coded cap at 150 that the user can lower but not raise. Better to spread across days than push past 150.






Rule 3 — Only automate what belongs to the user




  • Easy Apply on their own account: automated

  • Profile data of other users: never scraped

  • Sending messages, connection requests: never touched

  • Reading job listings: reads what's already visible to the user (their own logged-in search)

  • Public post-view counts, follower lists: never scraped



The line is: the bot can only do things the user themselves can do inside their own logged-in tab. If it would require an unauthenticated crawler or a different account, it's out of scope.






The "form-fill" AI, in one paragraph



The interesting AI work is not "generate a CV." It's answering the ~800 different variations of screening questions LinkedIn shows. "How many years of Python?" "Are you authorized to work in Germany?" "Are you willing to relocate to Bangalore for 6 months?" "What's your notice period in weeks?"



We send the question + a compact JSON summary of the user's profile to Llama 3.3 70B (via (free). No signup needed to start. Or read the full auto-apply guide at autoapplymax.com/blog/how-to-auto-apply-on-linkedin-2026.



Happy to answer any technical questions in the comments — especially interested in stories of other people who built form-filling automations.

Vollständiger Original-Bericht
Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf dev.to.
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