LinkedIn Data Scraping & Augmentation for Nonprofit Organizations
Budget: $30 – $250 USD
I'm seeking a freelancer skilled in web data scraping and data management to help augment my existing database of 2500 nonprofit organizations. The task involves extracting specific information from LinkedIn profiles and appending it to my spreadsheet.
I want you to augment data records and locate nonprofit organizational executives that match the following titles/departments
CEO, President, Chief Financial Officer, Chairman, Founder, Executive Director, Development, Advancement, Grants, Fundraising, Events
TASKS INCLUDE:
- Scraping LinkedIn for nonprofit executives' job titles and companies, as well as their email addresses.
- Finding email addresses through various sources, including LinkedIn, company websites, and public directories.
DATA MANAGEMENT:
- Appending new data into my existing spreadsheet by adding new columns for each type of data.
Inside of my spreadsheet I already have 2500 records with the following columns:
Org Name, EIN, Address Line 1, City, State, County, Zip, Phone, Web Address
IDEAL FREELANCER:
- Proficient in data scraping and data management.
- Familiar with LinkedIn and its data privacy policies.
- Able to work meticulously to ensure data accuracy.
- Capable of delivering the project in a timely manner.
I look forward to your proposals.
I want you to augment data records and locate nonprofit organizational executives that match the following titles/departments
CEO, President, Chief Financial Officer, Chairman, Founder, Executive Director, Development, Advancement, Grants, Fundraising, Events
TASKS INCLUDE:
- Scraping LinkedIn for nonprofit executives' job titles and companies, as well as their email addresses.
- Finding email addresses through various sources, including LinkedIn, company websites, and public directories.
DATA MANAGEMENT:
- Appending new data into my existing spreadsheet by adding new columns for each type of data.
Inside of my spreadsheet I already have 2500 records with the following columns:
Org Name, EIN, Address Line 1, City, State, County, Zip, Phone, Web Address
IDEAL FREELANCER:
- Proficient in data scraping and data management.
- Familiar with LinkedIn and its data privacy policies.
- Able to work meticulously to ensure data accuracy.
- Capable of delivering the project in a timely manner.
I look forward to your proposals.