Local Leads Finder

Fast, scalable local business lead generation powered by Decodo Web Scraping API.

Turn a simple keyword and location into a ready-to-use dataset of local businesses from Google Maps. Perfect for freelancers, agencies, and SMBs who need quality leads at scale.

Table of Contents

• Quick Start
  • Option 1: Use the hosted web app (recommended)
  • Option 2: Run locally
    • Step 1: Installation
    • Step 2: Get Decodo credentials
    • Step 3: Configure environment (CLI only)
    • Step 4: Start collecting leads
• Usage
  • Web Interface
  • Command Line Interface
• Output Format
• Docker Usage
  • Build the image
  • Run the CLI inside Docker
  • Run the web interface inside Docker
  • API Request Example
• Future Features
• Contributing
• Author

Quick Start

Option 1: Use the hosted web app (recommended)

• Visit Local Leads Finder website to use Local Leads Finder instantly.
• Enter your Decodo username and password directly in the UI when prompted.
• Start a search and download results without any local setup.

Option 2: Run locally

Step 1: Installation

# Clone the repository
git clone https://github.com/yourusername/local-leads-finder.git
cd local-leads-finder

# Install dependencies
pip install -r requirements.txt

# Or install as a package
pip install -e .

Step 2: Get Decodo credentials

Get your Scraper API credentials from Decodo Dashboard:

1. Navigate to "Scraper" tab
2. Find your username and password

Step 3: Configure environment (CLI only)

Note: The web interface has its own credential management - users enter credentials directly in the UI.

For CLI usage, create a .env file:

# Create .env file
cp .env.example .env

# Add your credentials
echo "DECODO_USERNAME=your_username" >> .env
echo "DECODO_PASSWORD=your_password" >> .env

Step 4: Start collecting leads

Option A: Web Interface

cd webapp
python app.py

Check the terminal output for the exact URL (default is http://localhost:5000, but another free port may be used) and open it in your browser.

Option B: Command Line

leads-finder --query "dentist" --city "Toronto" --out leads.csv

Usage

Web Interface

The web interface provides a modern, user-friendly way to find leads:

1. Start the web server:

   cd webapp
   python app.py
   

2. Open your browser to the URL printed in the terminal (defaults to http://localhost:5000, but may vary if that port is in use)

3. Fill in the search form:

   • Business Type (e.g., "dentist", "pizza restaurant")
   • Location with a given radius to look around
   • City (e.g., "Toronto", "New York")
   • Results Limit (1-1000)
   • Country (optional)

4. Watch real-time progress as leads are collected

5. View results in an interactive table

6. Export to CSV or JSON with one click

Command Line Interface

Basic Examples

# Find dentists in Toronto
leads-finder --query "dentist" --city "Toronto" --out toronto_dentists.csv

# Find pizza places in New York (200 results)
leads-finder --query "pizza" --city "New York" --limit 200 --out nyc_pizza.csv

# Find plumbers in Montreal
leads-finder --query "plumber" --city "Montreal" --out montreal_plumbers.csv

CLI Options

leads-finder --help

Batch Processing

# Process multiple cities
for city in "Toronto" "Montreal" "Vancouver"; do
  leads-finder --query "dentist" --city "$city" --out "dentists_$city.csv"
done

Export to JSON

leads-finder --query "gym" --city "Los Angeles" --out gyms.json

Output Format

CSV file with the following columns:

Docker Usage

Build the image

docker build -t leads-finder .

Run the CLI inside Docker

docker run --rm \
  -e DECODO_USERNAME=your_username \
  -e DECODO_PASSWORD=your_password \
  -v "$(pwd)/output:/out" \
  leads-finder \
  --query "dentist" --city "Toronto" --out /out/leads.csv

Run the web interface inside Docker

docker run --rm \
  -p 5000:5000 \
  -e DECODO_USERNAME=your_username \
  -e DECODO_PASSWORD=your_password \
  leads-finder \
  web

Open your browser to http://localhost:5000. To use a different port, change the mapping (-p 8080:8080) and set -e PORT=8080.

API Request Example

from leads_finder.core.scraper_api_session import ScraperAPISession

session = ScraperAPISession(username="user", password="pass")
results = session.google_maps_search(
    query="dentist",
    geo="Toronto",
    limit=100
)
businesses = results.get("results", [])

Future Features

• Social media profiles
• Business hours
• Scheduled scraping

Contributing

Contributions welcome! Please open an issue or PR.

Author

Yousef Kotp