Python provides different modules like urllib, requests etc to download files from the web. I am going to use the request library of python to efficiently download files from the URLs. Let’s start a look at step by step procedure to download files using URLs using request library−. Import requests. Download Python Script Not all the data that we want to scrape is available as text on web. Sometimes we want to scrape data that is in form of files like PDF such as a book, a research paper, a report, a thesis, stories, company reports or simply any other data compiled and save as PDF file.
Download Files Free
The tool needs to download files from SEC, extract data and store the data in a format that will be to analyze data over time series. This will be for ~20 companies (NLY, AGNC, DX...) and each of their 10-Q reports going back until 2010. The files are in a special reporting language called XBRL which is displayed as .XML. There are various references on YouTube and GitHub keyword (SEC Edgar or XBRL). The structure of the data can be tricky as each company reports differently and some companies have changed their reporting.
A sample file that can be downloaded that contains the .XML.
The screen grab comes from this link [login to view URL]
Creating A Web Scraper Python
Example of the sort of what i'm trying to do is analyze the changes of the of the Estimated Fair Value column over time for each row of data.
Please review the attached data (another company example can be provided) and read/research the topic a little before providing your quote. In your quote tell me something particular about the data/project that will confirm you are qualified. **Bonus points if you think you can the Non-XBRL tables extracted.
Python Web Scraping With Selenium
Price is flexible if you can proof that you have firm grasp on what needs to be done and the expected output.