Python Scraper for Business Sale Events
Budget: $250 – $750 USD
Goal: Create a Python application to scrape data on business sales events and generate a concise, informative report for business development use.
Key Components
Python Scraper:
Develop a Python script that uses libraries such as Beautiful Soup or Scrapy to scrape data from predefined sources that list liquidity events, such as business news websites, financial news portals, and other relevant online platforms.
The scraper should focus on extracting key details of liquidity events, including business names, sale values, contact information (names, emails, phone numbers), and addresses.
Data Storage:
Use a lightweight database or a simple file storage solution (e.g., CSV, JSON files) to save the scraped data. This approach simplifies the storage mechanism, focusing on ease of access and manipulation for reporting purposes.
Report Design:
Design a template for the "Money on the Move" report that highlights essential information about recent liquidity events. The report should be easily digestible, allowing the business development team to quickly identify outreach opportunities.
Implement functionality in Python to populate the report template with data from the scraper. Consider using libraries like Jinja for template rendering or Pandas for data manipulation to facilitate this process.
Key Components
Python Scraper:
Develop a Python script that uses libraries such as Beautiful Soup or Scrapy to scrape data from predefined sources that list liquidity events, such as business news websites, financial news portals, and other relevant online platforms.
The scraper should focus on extracting key details of liquidity events, including business names, sale values, contact information (names, emails, phone numbers), and addresses.
Data Storage:
Use a lightweight database or a simple file storage solution (e.g., CSV, JSON files) to save the scraped data. This approach simplifies the storage mechanism, focusing on ease of access and manipulation for reporting purposes.
Report Design:
Design a template for the "Money on the Move" report that highlights essential information about recent liquidity events. The report should be easily digestible, allowing the business development team to quickly identify outreach opportunities.
Implement functionality in Python to populate the report template with data from the scraper. Consider using libraries like Jinja for template rendering or Pandas for data manipulation to facilitate this process.