clementbowe14 / clementbowe14/JobAppsAgentified
EXT-08: Job Match Discovery Board with Quality Filtering
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- Dominant language
- JavaScript
- Stars
- 0
- Forks
- 0
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Description
Objective
Parse multiple jobs listed in search result pages on LinkedIn and Indeed, calculate quick match ratings, and organize them inside a recommendation panel with quality filtering.
Description
Extend content scripts to scrape metadata (job card items, titles, descriptions if loaded in DOM) from list views on Indeed/LinkedIn. Send the batch data to the side panel. In the side panel, render a dashboard of recommended matches sorted by match rating (0-10 scale). Implement UI controls (slider or dropdown) to filter results based on a user-selected minimum match rating (e.g., show only jobs rated 7 or higher).
Acceptance Criteria (Subtasks)
- Scraping script extracts details from search result list elements without blocking the browser tab
- Batching mechanisms evaluate compatibility ratings or key skills overlap and list recommendations inside the "Discover" tab
- UI displays search list results with individual match ratings (0-10 scale), direct job URLs, and color-coded quality tags (e.g., "10/10 Excellent Match", "2/10 Poor Match")
- Dashboard includes interactive filtering UI elements (slider/dropdown) allowing dynamic filter updates of the visible list by minimum rating threshold
- Service worker state machine handles asynchronous batches and limits active connections to avoid memory crashes
Filtering Behavior
- Default filter: Show all (minimum rating = 0)
- Slider range: 0-10 with step of 1
- Jobs below the selected threshold are hidden with a smooth CSS transition
- Filter state persisted in
chrome.storage.localunderminMatchRating
Files to Modify/Create
src/sidepanel/sidepanel.jssrc/content/linkedin-scraper.js
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with src/content/linkedin-scraper.js and src/sidepanel/sidepanel.js, then trace how scraped batches reach the Discover tab and how asynchronous state is handled. Confirm the existing entry points before adding the list dashboard, 0–10 rating filter, persisted minMatchRating setting, and non-blocking batch behavior. Done means the acceptance criteria are met for LinkedIn and Indeed search result lists.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- frontend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100