Collecting casual and informal collective-nouns by scraping twitter. The "What Is This" page is very well done, explaining just what the scraper "sees" in a clear fashion. Fun.

Scrapes lots of things, produces a useful page which actually manages to stay up. Also, it spells TRANSPORT CHAOS the only way it should be spelt: in capitals.

Oh gosh this is brilliant.

"My election party tomorrow will feature DMX controlled RGB LED lighting. The color of the house should reflect the electoral balance. The color will start purple, and drift toward either red or blue, depending on who’s winning." Awesome.

"So to recap, we have scraped some data from a wikipedia page into a Google spreadsheet using the =importHTML formula, published a handful of rows from the table as CSV, consumed the CSV in a Yahoo pipe and created a geocoded KML feed from it, and then displayed it in a Yahoo map." Wow, etc.

"The technology will probably improve, but in lieu of the promised emergent web AI, we need to build more small tools, more games to bootstrap datasets, and more simple ways of encouraging people to play their part in the semantic web without ever having to explain what it is." tt++.

"Film showings from London's independent cinemas for the coming week." A bit like Tourfilter for movies. Roland's pet project, running on Sinatra/Thin/nginx (erk!). Looking forward to see it grow.

"This is a site for large data sets and the people who love them: the scrapers and crawlers who collect them, the academics and geeks who process them, the designers and artists who visualize them." Aaron Swartz strikes again. This looks great.

"WWW::Mechanize and Hpricot on Steroids". An interesting looking screenscraping library; I'm a big fan of both HPricot and Mechanize, so it'll be interesting to put this to use at some point.

Template maker is "a Python library for extracting data from similarly formatted text strings." Looks super-useful.

Tom Dyson writes a MySpace parser in Python out of Beautiful Soup. Delightful - and really, really useful.