Salesforce CRM Data Extractor -- 2

Technical Assessment: Salesforce CRM Data Extractor Timeline : Before 17 Jan 11:59 IST | Submit: GitHub repo + 3-5 min demo video Overview Build a Chrome Extension that extracts data from Salesforce CRM objects (Leads, Contacts, Accounts, Opportunities, Tasks), stores them locally, and displays them in a popup dashboard. This tests your ability to work with Chrome Extension APIs, DOM manipulation, React UI, and local storage architecture. Technology Requirements • Chrome Manifest V3 (service worker + content scripts) • React.js with TailwindCSS for popup UI • Shadow DOM for any injected page UI (extraction indicators) • [login to view URL] for all persistence • [login to view URL], [login to view URL], [login to view URL] APIs Module 1: Data Extraction Engine Content script must extract data from Salesforce's standard objects: Leads: name, company, email, phone, lead source, lead status, lead owner Contacts: name, email, phone, account name, title, contact owner, mailing address Accounts: account name, website, phone, industry, type, account owner, annual revenue Opportunities: opportunity name, amount, stage, probability (%), close date, forecast category, opportunity owner, associated account Tasks: subject, due date, status, priority, related to (opportunity/account/contact), assigned to Key extraction challenges to address: • Salesforce uses Lightning Experience — handle dynamic DOM rendering • Extract opportunity stages (Prospecting, Qualification, Proposal, Negotiation, Closed Won/Lost) • Handle List Views vs Record Detail pages vs Kanban View • Detect which object the user is currently viewing • Handle related lists (e.g., Contacts related to an Account) Module 2: Storage Layer Define a clear storage schema. Example structure: { "salesforce_data": { "leads": [{ "id": "...", "name": "...", "company": "...", "email": "...", "status": "...", "owner": "..." }], "contacts": [{ "id": "...", "name": "...", "email": "...", "phone": "...", "account": "...", "owner": "..." }], "accounts": [{ "id": "...", "name": "...", "industry": "...", "revenue": ..., "owner": "..." }], "opportunities": [{ "id": "...", "name": "...", "amount": ..., "stage": "...", "probability": ..., "closeDate": "...", "account": "..." }], "tasks": [{ "id": "...", "subject": "...", "due": "...", "status": "...", "relatedTo": "...", "assignee": "..." }], "lastSync": 1234567890 } }Requirements: Handle deduplication, updates, deletions. Manage race conditions if multiple tabs extract simultaneously. Module 3: Popup Dashboard Clicking the extension icon opens a React dashboard: • Tabs for Leads, Contacts, Accounts, Opportunities (grouped by stage), Tasks • Search/filter across all extracted data • Delete individual records • "Extract Current Object" button that triggers content script on active tab • Show last sync timestamp per object type • For Opportunities: display stage and probabilityModule 4: Visual Feedback (Shadow DOM) When extraction runs, inject a small status indicator into the page using Shadow DOM for style isolation. Show extraction progress/success/failure state. Indicate which object was detected. Bonus Features 1. Real-time sync across tabs using [login to view URL] 2. Export data as CSV or JSON 3. Handle Salesforce's pagination automatically 4. Detect object type automatically and extract appropriate fields 5. Support extraction from Kanban View (Pipeline Inspection) 6. Extract related records (e.g., Contacts under an Account)Submission Requirements 1. Public GitHub repo with clear folder structure 2. README with: install steps, DOM selection strategy explanation, storage schema docs 3. 3-5 min demo video showing: extraction from Opportunities (multiple stages), Leads, Contacts, Accounts, page refresh persistence, popup dashboard, delete functionalityEvaluation Criteria • Correct extraction from multiple objects (Leads, Contacts, Accounts, Opportunities, Tasks) • Proper handling of opportunity stages and probability • Clean code architecture and separation of concerns • Proper Manifest V3 patterns (service worker, message passing) • Storage schema design and data integrity • Error handling and edge cases Note: Focus on DOM scraping—API/SOQL integration not required.

Projektin tunnus (ID): 40152169