ScraperWiki lets anyone scrape Twitter data without coding
As a data guru this looks interesting to me. I may add this to my growing list of data analysis tools!
Originally posted on Gigaom:
The Obama administration’s open data mandate announced on Thursday was made all the better by the unveiling of the new ScraperWiki service on Friday. If you’re not familiar with ScraperWiki, it’s a web-scraping service that has been around for a while but has primarily focused on users with some coding chops or data journalists willing to pay to have someone scrape data sets for them. Its new service, though, currently in beta, also makes it possible for anyone to scrape Twitter to create a custom data set without having to write a single line of code.
Taken alone, ScraperWiki isn’t that big of a deal, but it’s part of a huge revolution that has been called the democratization of data. More data is becoming available all the time — whether from the government, corportations or even our own lives — only it’s not of much use unless you’re able to do something with it. ScraperWiki is now one of a growing list of tools dedicated to helping everyone, not just expert data analysts or coders, analyze — and, in its case, generate — the data that matters to them.
After noticing a particularly large numbers of tweets in my stream about flight delays yesterday, I thought I’d test out ScraperWiki’s new Twitter search function by gathering a bunch of tweets directed to @United. The results — from 1,697 tweets dating back to May 3 — are pretty fun to play with, if not that surprising. (Also, I have no idea how far back the tweet search will go or how long it will take using the free account, which is limited to 30 minutes of compute time a day. I just stopped at some point so I could start digging in.)