Parsing

 

Parsing is a process which can analyze formatted / unformatted data based on your requirement and convert it to usable formatted data. The input to this process is any unorganized data e.g. Websites, Search engine results, Local files, old raw data, Survey Data etc and this gives output as an organized format into the database with 99% accuracy. Since everything is done by software the pace it can read 50,000 files (500 mb) data and convert them to usable data with in 5-6 hours. With accuracy of 99% and over all time savings one can save more than 5000 man hours (31 man months) means around $20,000 USD.

 

Advantages

 

1) Reducing the human error.

2) Faster execution of the work, hence saving time and money.

3) You can use program repeatedly without worrying of paying again to some vendor.

4) Low human interaction.

5) Very much cost effective.

We can categorize the parsing / extraction work into following categories.

 

1) Web Data Extraction

Web Data Extraction is a process that crawls/ searches target Website(s) download all html pages and extract the required information from pages and store in your custom database / CSV sheet. This technique is robust enough to maintain the session manage java script validations and run in multi threaded mode for optimum usage of resources.

 

2) Feed Management

System can manage all incoming feeds (via FTP, HTTP or local feeds) and parse the data and store in database. This automates all incoming feeds accordingly.

 

3) Managing old Files/ Databases

You can get your local CSV files / old database and convert them to new database structure based on given business rules. This will automate the transfer from old unusable structure to well defined new structure of database.