Scraping data from website, extracting information using python

I am looking for a python developer to extract competitor names from approximately 1400 Corporate 10-K [login to view URL] filings from EDGAR [login to view URL] Then, the extracted names must be matched with another list of firm names. The application would need to do the following: 1. Identify the names of competitors mentioned in 10-K filing that I provide in .txt format. For example, the attached 10-K sample [login to view URL] contains the following statement: “Competitors for our analog and DSP products include Broadcom Corporation, Cirrus Logic Inc., Infineon Technologies, Linear Technology Corporation, Maxim Integrated Products, Inc., National Semiconductor Corporation, Phillips Semiconductor, ST Microelectronics and Texas Instruments, Inc. 2. Extract the names and store them in an excel file called SEC: Column A: Year, Column B: Competitor Name. Note that the year is stated in the file name (i.e., xxxx-05-xxxxx =2005) Deliverable: Python script that extract names 3. Match all rows in the SEC excel file with a master file named MASTER containing several thousand of firms names in order to identify those firms who have been listed as a competitor in step 4. For every match found, update the column ACCESSION NUMBER in the MASTER Excel file with the file name Deliverable: Python script that matches names Important Note: the firm names in MASTER will often be not identical. For example, the MSTER may list a firm name as Broadcom Corp. whereas the SEC Excel will list it as Broadcom Corporation. ADDITIONAL General Information Information about accessing EDGAR data can be found at: [login to view URL] The EDGAR user interface is at [login to view URL] (New Version) or [login to view URL] (Old Version) An example of and SEC Filing: [login to view URL] Project preferences and deliveries: • One-time Project: Develop script for academic research project • Language: Python • Starting date: Immediately • Delivery date: will be mutually agreed upon • Project Stage: Fully Specified Fixed Price Project with two milestones: (1) After completing Step 2 has been validates and (2) after the completion of step 4 has been validate. Validation based on random sample and verification of accuracy of the script and output. Project Type: One-time project