FEC Website Data Scraping and Parsing Request (Political Contributions by Individuals)
Budget: $30 – $250 USD
I am seeking assistance with data scraping and parsing project for the Federal Election Commission (FEC) website. The objective is to gather information on political contributions made by individuals from the beginning of 1990 through the end of 2022.
Website URL: https://www.fec.gov/data/receipts/individual-contributions/
Project Deliverables:
1) A .csv file containing the data for each fiscal year from 1990 to 2022.
2) A self-contained Python code (.py file) that, when executed, will generate the aforementioned .csv files in the same directory as the .py file.
Extracted data should be organized into separate columns in the csv file, (See attached screenshot for data content):
** Source Information **
1. Executive ID
2. Contributor full name
3. First Name (excluding prefixes)
4. Last Name (excluding suffixes)
5. City
6. State
7. Occupation
8. Employer
** Receipt Information **
9. Amount
10. Receipt date
11. Report year
12. Election Type
** Recipient Information **
13. Committee
14. Political Party
15. Type
16. State
Please provide an estimated timeline for project completion.
Website URL: https://www.fec.gov/data/receipts/individual-contributions/
Project Deliverables:
1) A .csv file containing the data for each fiscal year from 1990 to 2022.
2) A self-contained Python code (.py file) that, when executed, will generate the aforementioned .csv files in the same directory as the .py file.
Extracted data should be organized into separate columns in the csv file, (See attached screenshot for data content):
** Source Information **
1. Executive ID
2. Contributor full name
3. First Name (excluding prefixes)
4. Last Name (excluding suffixes)
5. City
6. State
7. Occupation
8. Employer
** Receipt Information **
9. Amount
10. Receipt date
11. Report year
12. Election Type
** Recipient Information **
13. Committee
14. Political Party
15. Type
16. State
Please provide an estimated timeline for project completion.