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Build a Responsive No-Code Web App with Automated Scrapers

Budżet: $1500.0 FIXED / ⭐ 0.00 (0) United States

web-programming, data-scraping, python

I am looking for a talented freelance developer to build a responsive, highly performant directory web application. The project will be built using a no-code framework (Bubble or Webflow for example with a robust backend database). We have a fixed budget of $1,500 divided into clear project milestones. Core App Functionality & Architecture: 1. Responsive Layouts: Mobile View: Single-column view featuring top horizontal-scrolling filter bars, a sticky interactive map viewport, and a chronological vertical scroll feed of event cards. Desktop View: Split-pane layout (50/50 split). Left side features the scrollable event feed; right side features a sticky, fixed map viewport. Hovering over an event card must highlight its corresponding map pin. 2. Interactive Map: Integration with Google Maps or Mapbox API. Map pins must update dynamically and instantly based on user filtering choices without reloading the page. 3. Database Backend: Clean CMS setup supporting data fields like: Title, Name, Date, Time, Price, URL, Tags, and Image URL. 4. Automated Data Scraping: Build and integrate a reliable web scraping script (e.g., Python, Apify, or Octoparse) to pull data automatically into our database from 10 sites.. Pre-defined Taxonomy to Build: 8 Tags: 4 Filters: Budget & Milestones: Milestone 1 (20% / $300): Database architecture setup and initial mobile/desktop UI layout approval. Milestone 2 (30% / $450): Map API integration, dynamic filtering logic, and responsive break-point testing (less 992px). Milestone 3 (30% / $450): Deployment and testing of automated web scrapers for the 10 sites. Milestone 4 (20% / $300): Final bug testing, deployment to custom domain, and delivery of a 10-minute Loom training video for app hand-off. To Apply, Please Answer the Following: 1. Have you built a responsive split-pane directory app with map filters before? Please link to 1 or 2 live examples we can test. 2. How do you plan to handle the automated web scraping for venues whose site layouts might change? 3. What are the expected monthly platform hosting fees I should prepare to pay once this goes live?
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