How to use the EDGAR Database in Python | Parsing Responses

Now that we can build a valid request, we need to parse the response that is sent back to us, in this video, we continue working with the EDGAR Search Tool but now focus on parsing the XML response that contains the different filings. Video Resources: -------------------------------------------------- Resource: GitHub File Link: https://github.com/areed1192/sigma_coding_youtube/tree/master/python/python-finance/sec-web-scraping/Web%20Scraping%20SEC%20-%20EDGAR%20Queries.ipynb Resource: Sigma Coding Finance Functions Folder Link: https://github.com/areed1192/sigma_coding_youtube/tree/master/python/python-finance/finance-functions/ Resource: Sigma Coding Finance SEC Scraping Folder Link: https://github.com/areed1192/sigma_coding_youtube/tree/master/python/python-finance/sec-web-scraping/ Resource: Sigma Coding Finance TD Folder Link: https://github.com/areed1192/sigma_coding_youtube/tree/master/python/python-finance/td-ameritrade/ Resource: Sigma Coding Finance Yahoo Finance Folder Link: https://github.com/areed1192/sigma_coding_youtube/tree/master/python/python-finance/yahoo-finance-webscrape/ Resource: TD Ameritrade Python Client Library Repo Link: https://github.com/areed1192/td-ameritrade-python-api Resource: Interactive Brokers Python Client Library Repo Link: https://github.com/areed1192/interactive-broker-python-api Resources: -------------------------------------------------- Facebook Page: https://www.facebook.com/codingsigma Facebook Group: https://www.facebook.com/groups/sigmacoding GitHub Sigma Coding: https://github.com/areed1192/sigma_coding_youtube Support Sigma Coding: -------------------------------------------------- Patreon: https://patreon.com/sigmacoding Amazon Associates: https://amzn.to/3bsTI5P ** Related Topics: -------------------------------------------------- Title: How to Web Scrape the SEC | Part 1 Link: https://youtu.be/-7I7OAC6ih8 Title: How to Web Scrape the SEC | Part 2 Link: https://youtu.be/eut8-iOiJ_Q Title: How to Web Scrape the SEC | Part 3 Link: https://youtu.be/4zE9HjPIqC4 Title: How to Web Scrape the SEC | Part 4 Link: https://youtu.be/nOlJhZZN6AE Title: Parsing SEC Filings (Newer Ones) in Python | Part 1 Link: https://youtu.be/TxUmufNnIaA Title: Parsing SEC Filings (Newer Ones) in Python | Part 2 Link: https://youtu.be/Wi9PPoS9cxI Title: Parsing SEC Filings (Newer Ones) in Python | Part 3 Link: https://youtu.be/ak_1TG_kuDU Title: Parsing SEC Filings (Newer Ones) in Python | Part 4 Link: https://youtu.be/bWRH8K7Z-_c Title: Parsing SEC Filings (Newer Ones) in Python | Part 5 Link: https://youtu.be/-IFt1g-QE_4 Title: How to use the EDGAR Database in Python | Building Requests Link: https://youtu.be/VEFH2A_LLQs Title: How to use the EDGAR Database in Python | Pagination Link: https://youtu.be/GbjNEUgLoHk Title: How to use the EDGAR Database in Python | Parsing Responses Link: https://youtu.be/4PMEBk9bZSo Title: Exploring SEC Data Sources Link: https://youtu.be/s7N57tCad8k Title: Scraping SEC XBRL Documents | Part 1 Link: https://youtu.be/dJymnTL3hgc Title: Scraping SEC XBRL Documents | Part 2 Link: https://youtu.be/GhjtIn0B2II Title: Scraping SEC XBRL Documents | Part 3 Link: https://youtu.be/1-w7yh1Gi28 Title: Scraping SEC XBRL Documents | Part 4 Link: https://youtu.be/rAwVjYsLgCE **Amazon Associates Disclosure: -------------------------------------------------- I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com. One of the ways I support the channel is by using Amazon Associates to earn fees on purchases you make. That means when you use the link above, it will track any purchases made from that link and give a small portion of it to the Sigma Coding. I love this approach because it allows you to do what you're already doing (shopping) but also helps support the channels you care about. Also, it makes it where I can invest that revenue to help improve and grow the channel. Tags: -------------------------------------------------- #Finance #Python #SEC