LinkedIn Connection Parser in Python
Budget: $250 – $750 USD
This is a Python-based project involving LinkedIn connections parsing using a cookie file. The target is to uncover and analyze mutual connections between my personal friend's list and a CRM file.
Important Aspects:
- The script needs to efficiently extract the full profile details of LinkedIn connections, including their names, job titles, locations, and industries. The data about any mutual connections between my friends and my existing client database is distinctly relevant.
- I also need the parser to generate records of connections between my LinkedIn friends and contacts in my CRM.
- I would require the output to be well-organized and easy to navigate. It should be exportable and storable both as a CSV file and an Excel spreadsheet.
Ideal Skills and Experience:
- Proficiency in Python for web scraping and data handling
- Experience in working with LinkedIn's data structure and APIs
- Demonstrated expertise in managing and exporting data in CSV and Excel formats
Important Aspects:
- The script needs to efficiently extract the full profile details of LinkedIn connections, including their names, job titles, locations, and industries. The data about any mutual connections between my friends and my existing client database is distinctly relevant.
- I also need the parser to generate records of connections between my LinkedIn friends and contacts in my CRM.
- I would require the output to be well-organized and easy to navigate. It should be exportable and storable both as a CSV file and an Excel spreadsheet.
Ideal Skills and Experience:
- Proficiency in Python for web scraping and data handling
- Experience in working with LinkedIn's data structure and APIs
- Demonstrated expertise in managing and exporting data in CSV and Excel formats