SEC 10-K Parsing

Going to this website: [login to view URL], we can enter in company tickers into the "Fast Search" menu to find financial information on the company. For example, we can type in "AAPL" to find information about Apple Inc. We can then filter filing type by "10-k" and open the most recent document by clicking "Documents" on the top result, then open the link for the first document listed. This opens an htm file of the 10-k filing. The filing is separated into sections, typically starting with "Item 1", then "Item 1A", "Item 1B", etc. I would like a python script which outputs each section's strings in some standard data format (ex pandas dataframe). This script must work for any company. The following companies should be used for basic testing: AAPL, BA, DIS, F, GE, GM, GOOG, GS, JPM, MMM, MU, NVDA, SQ, V, WMT, XOM.

Compétences : HTML, Python

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Concernant l'employeur :
( 0 commentaires ) Livonia, United States

Nº du projet : #17803046

9 freelance font une offre moyenne de $559 pour ce travail


Hello sir I am a qualified python developer with 8 years of professional experience. I had made 2 crawler on edgar. The crawler had filtering function for 10-k too. I am confident with this project and can help you. Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 10 jours
(71 Commentaires)

Hello! Your requirement seems pretty clear, I can create this 10-K parser of htm files with Python and proceed with testing with your list of companies in order to confirm that the sections are parsed correctly. Than Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 5 jours
(93 Commentaires)

Hi, As you can see I'm new at freelancer, But I possess excellent experience in Hybrid and Native application. I have worked on the Platform like React Native, React JS, Node JS (4+ Years of experience in Java script Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 10 jours
(86 Commentaires)

Hi Nice to meet you. I'm python expert and my last project on freelancer.com is also python scraping task. My past works: Youtube comment scrapping Realestate property list to csv Jobsite content to csv I checke Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 10 jours
(35 Commentaires)

Hello, I have briefly read the description on sec-parsing , and I can deliver as per the requirements however I need us to discuss for more clarity on the details, deadline and budget as well.

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 10 jours
(8 Commentaires)

It's pretty clear what needs to be done, although I have a couple of questions. 1. Am I right to assume that you need only Section names, not the whole text of each section? 2. Is it OK to output using JSON? It's a p Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 5 jours
(4 Commentaires)

I'm new on this platform, but you can check my github [login to view URL] I've been working extensively in python for web scraping and data analysis. looking forward to doing this task, i'll deliver in a few da Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 6 jours
(0 Commentaires)

Hello. I have carefully read your proposal and checked completely. I already got some result manually and now I am writing demo script. If you choose me, I will give you first result 1~2 days and I can finish this job Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 10 jours
(0 Commentaires)

Hi, i have similar scraper written in node.js - if you're open to this technology i can set up a trial version for you. Cheers, chris

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 5 jours
(0 Commentaires)