Liberate your data!
ScraperWiki is a data science platform making 'easy things easy, and hard things possible' (Larry Wall). We say that we do the heavy lifting in the data wrangling process and this is why we have a digger as our logo! The process is transparent and collaborative. ScraperWiki’s data scientists bring many years of data wrangling experience to our customers. and help them ask the right questions of their data to make a difference in decision making. They're experts at extracting value from external data, and combining it with internal data assets. We’ve a worldwide community of data scientists, to help with data projects in multiple languages and multiple territories.”
We've experience in mashing competitor data, business development data, market pricing data and operational data. Customers like Agra Informa, Trader Media, Cabinet Office, Lexis Nexis, EMAP and Bridgestone are using ScraperWiki.
Investigate – Scope the data project.
Get the data – whether it’s internal or external, PDFs or Excel spreadsheets, web pages or databases.
Clean the data – by turning postcodes into points on a map, or structuring and matching fuzzy data, like company names and time formats.
Analyse the data – by crafting custom maps and visualisations, or preparing the data for export into Tableau or your business intelligence software.
Support the data as it changes - ScraperWiki’s here for the long haul – we ensure your data is always available and always up to date.