Expected duration: 3 - 4 weeks Car Scraper Application
1. Scope A Python-based web application using Tailwind CSS for styling. The app allows users to search for car listings across five different websites (Carvana, Cars.com, AutoTrader, TrueCar, and CarMax) by leveraging the Browse.AI API.
2. Features • Search Button: Triggers the data-gathering robots. • Task Management: Tracks and waits for robots to complete tasks. • Data Display: Presents results in a user-friendly card layout with detailed car information.
3. Tech Stack • Backend: Python (Flask or FastAPI for API integration). • Frontend: Tailwind CSS for styling. • API Integration: Browse.AI for scraping and data retrieval o Documentation: https://www.browse.ai/docs/api/v2 o OpenAPI : https://api.browse.ai/v2/openapi • Deployment: Vercel, Vultr, or Digital Ocean.
4. User Flow Step 1: Initial Interface • A simple page with a search button and optional instructions. Step 2: Trigger Robot • User clicks "Search." • Backend triggers Browse.AI robots for. For simplicity, these robots will be pre-configured to a specific make, model, year, trim, and color, and each robot ID will be provided. o Carvana o Cars.com o AutoTrader o TrueCar o CarMax o Driveway • Browse.AI API key will be provided upon project approval. Step 3: Task Management • Retrieve taskID from the robot. • Poll Browse.AI API every 2–5 seconds to check the task status or utilize webhooks. Step 4: Fetch Results • Once a task is completed, retrieve results via Browse.AI API. • Aggregate and normalize data from all sources. Step 5: Display Results • Format the results in cards using Tailwind CSS. Each card includes: o Picture o Make o Model o Year o Trim o Color o Mileage o Price o Source o A button to view the car on the original website.
5. Key Components Frontend • Home Page: Search button and simple UI styled with Tailwind CSS. • Results Page: o A grid of cards displaying car details. o Tailwind CSS for responsive, modern design. Backend • API Routes: o /search (POST): Triggers robots and returns task IDs. o /results (GET): Polls task status and fetches results. • Utility Functions: o trigger_robot(robot_name): Makes API call to start the robot. o check_task_status(task_id): Polls Browse.AI for task status. o fetch_results(task_id): Retrieves and processes completed data.
6. API Integration • 1. Run a robot: o /POST: https://api.browse.ai/v2/robots/{robotId}/tasks o Headers: Include API Key as Bearer token. o Response: taskID = result.id o Docs: https://www.browse.ai/docs/api/v2#tag/tasks/operation/newRobotTask • 2. Determine task status: o 2a. Poll the task status: ▪ /GET: https://api.browse.ai/v2/robots/{robotId}/tasks/{taskId} ▪ Headers: Include API Key. ▪ Response: Task completion status. ▪ Docs: https://www.browse.ai/docs/api/v2#tag/tasks/operation/getRobotTask o 2b. (Alternate) Listen for Webhook “Task Finished” ▪ Docs: https://www.browse.ai/docs/api/v2#tag/webhooks/paths/taskWebhook/post • 3. Retrieve a task: o /GET: https://api.browse.ai/v2/robots/{robotId}/tasks/{taskId} o Headers: Include API Key. o Response: Scraped data. o Docs: https://www.browse.ai/docs/api/v2#tag/tasks/operation/getRobotTask
7. Tailwind CSS Components • Search Button: Large, centered button with hover effects. • Loader: Spinner to indicate task processing. • Cards: Responsive grid layout for displaying results with: o Image at the top. o Text sections for details. o A button with hover effect to view more.
8. Challenges & Solutions • Asynchronous Task Polling: Use Python's asyncio or Celery for efficient polling. • Data Normalization: Map diverse data structures from multiple robots to a unified format. • UI Consistency: Leverage Tailwind CSS utility classes for rapid and consistent styling.
9. Development Plan Phase 1: Setup • Create project structure (backend, frontend). • Configure Tailwind CSS and Browse.AI API. Phase 2: Backend • Build endpoints for triggering robots and fetching results. • Implement task polling logic or utilize webhooks. Phase 3: Frontend • Design the search page and results page. • Integrate Tailwind CSS components. Phase 4: Integration • Connect frontend to backend. • Test end-to-end functionality. Phase 5: Deployment • Deploy app to a shared GitHub repo. • Test on various devices for responsiveness.
Social Media + Design for Greek Restaurant (Test Project) Category: Branding, Content Creation, Digital Marketing, Graphic Design, Logo Design, Menu Design, Photoshop, Photoshop Design, Social Media Management, Social Media Marketing Budget: $10 - $40 USD
02 Feb 2026 05:04 GMT
Dasopia: Low-Code Dashboard Building Category: Agile Development, API Integration, Backend Development, Database Management, Frontend Development, Project Management, Software Development, Web Development Budget: ₹1500 - ₹12500 INR
Abstract Line Art Sketches Category: 2D Drawing, 3D Studio Max, Caricature & Cartoons, Concept Design, Digital Art, Illustration, Sketching, Visual Arts Budget: $250 - $750 USD
02 Feb 2026 05:03 GMT
Penyesuaian Tema Blog Saya Category: CSS, Data Entry, HTML, JavaScript, PHP, Web Design, Web Development, WordPress Budget: $250 - $750 USD
Accurate Text Consolidation Category: Content Writing, Copy Typing, Editing, Microsoft Word, PDF, Proofreading, Word, Word Processing Budget: ₹400 - ₹750 INR
Penulis Artikel SEO Edukasi Category: Article Writing, Blog Writing, Content Strategy, Internet Marketing, Keyword Research, Link Building, Research, SEO, Technical Writing Budget: $15 - $25 USD
02 Feb 2026 04:45 GMT
Ophthalmology Case Study Writing Category: Case Study Writing, Medical, Medical Research, Medical Writing, Research, Research Writing, Scientific Writing, Writing Budget: $2 - $8 USD
02 Feb 2026 04:45 GMT
Local PE Teachers Contact Database Category: Data Cleansing, Data Collection, Data Entry, Data Processing, Database Management, Excel, Google Sheets, Web Search Budget: $30 - $250 USD
