Dear Dan,
I am writing to propose a solution for your project on developing a Python lead scrapping engine script on Google Maps using N8n and Docker+Portainer for automation. With my team's expertise in Python scripting, web scraping, API integration, and Docker containerization, we are well-equipped to handle the technical requirements and deliver the desired outcomes efficiently.
We will create a robust Python script to extract business information from Google Maps API, incorporating comprehensive data fields like company name, website, phone number, social media links, and more. Our N8n workflow design will ensure seamless integration with the Python script, managing keyword queues, efficient data storage in Google Sheets or Airtable, and error handling mechanisms for reliability.
To optimize data collection, we will implement a keyword queue system, efficient data storage structures, and mechanisms to prevent duplicates. Our approach focuses on enhancing data accuracy, completeness, and system reliability while adhering to ethical data collection practices.
Before proceeding, I would like to inquire about your preferred timeline for development and testing. Additionally, do you have any specific preferences regarding data storage, such as using Google Sheets or Airtable?
Looking forward to the opportunity to work on this project together.
Regards,
Rashid