Whether you need help extracting HTML from a website or parsing data from a web API, we turn messy, unorganized data into useable formats, ethically and legally.Contact us today to get started
Michael has done fantastic work for us. He is one of the smartest developers I have met.
Before beginning any project, we thouroughly explore all options to understand the scope of the job in order to pick the best tool(s). Scrapy is by far our favorite tool and Python is our language of choice.
Gather, scrape, crawl, and parse data from a number of sources, such as web sites, databases, PDF files, and Excel spreadsheets.
Some examples: Bridge various systems and applications via web APIs to create powerful connections to aggregate and mashup content.
Extract specific Tweets to Google Docs. Extract specific, publicly availble crime data and map the data point to Google Maps. Create a job feed from the most popular job boards.
Various techniques can be used to cleanse the data, such as data parsing, transforming, normalizing, and dedupliction. Depending on the data at hand, various statstical methods can be used to eliminate data, which falls outside a particular mean, median, and/or standard deviation.
Looking for specific pieces of information to support a particular hypothesis or validate a business decision? As database and Excel experts, we can help search for such data to use for a specific visualization or further refine the data to export into a particular business intelligence tool.
Once modeling and cleansing is complete, we can deliver the data in a variety of methods, such as a CSV file, a detailed Excel report, or directly into your database.