Projectsleadbot-command-center
Digital Tools

Leadbot Command Center

A FastAPI and Playwright command center for Google Maps lead scraping, live progress logs, and downloadable Excel/CSV exports.

PythonFastAPIPlaywrightWebSocketsDockerPandasOpenPyXLHugging Face Spaces
GitHubLive DemoLive Demo: AvailableHosting: Hugging Face Spaces
LC

Digital Tools

GitHub

Repository available

Source code and project documentation

Live demo

Available

Public deployment linked from project data

Live Demo

Available

Hosting

Hugging Face Spaces

Problem

What needed to be solved

Lead research is repetitive when business listings, locations, and contact details are collected manually. A small operator needs a focused tool that can start a search, show progress, and return usable spreadsheet exports.

Solution

How the project approaches it

I built the project around a FastAPI web service, a lightweight HTML interface, Playwright automation, WebSocket progress updates, and file export endpoints. The app is packaged with a Dockerfile so it can run on container-friendly hosting.

Key features

What the project includes

FastAPI web app with health endpoint
Playwright-powered Google Maps scraping workflow
Live progress updates through WebSockets
Excel and CSV result exports
Docker-based deployment
Public Hugging Face Space demo

Architecture / Technical decisions

Implementation choices worth reviewing

Used FastAPI for a small backend surface with explicit health, scrape, websocket, and download endpoints.
Packaged the app with a Playwright Python Docker image so browser automation dependencies are available in the runtime.
Stored generated result files in a runtime results directory and exposed download endpoints for reviewer-friendly exports.

Validation / Quality

How I made the work reviewable

Local Docker image build completed successfully
Local /health endpoint returned HTTP 200
Hugging Face Space reports the Docker runtime as running on CPU Basic hardware

What I learned

Technical takeaway

I learned how to package a browser-automation workflow as a deployable web service, including health checks, runtime port binding, and a lightweight command-center UI.

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