I have a lot practice, and it took 3 minutes. With Notepad++ you can go to View -> Show Symbol -> Show All Characters and this will show you whitespace characters.
XML TOOLS WIKIPEDIA CODE
This is a trial and error procedure, but in about 10 minutes you can usually have a working CSV file without writing elaborate code to do the same. I'd choose a pipe or a tab (\t) since the text has commas. Then you can replace with nothing and then replace the line breaks (\r\n in this case) with your delimiter. Everything in the table has a pipe character (|), so that would be the first thing to grep (and remove with sed.
XML TOOLS WIKIPEDIA TV
| K '''A'''ll '''A'''merican TV '''H'''onoluluįirst, remove the non-table stuff. ! Call letters !! Channel !! Network(s) !! City and state !! Meaning or notes Since it's formatted as a table, you can use command line tools (or a text editor like Notepad++ to parse into a CSV). In this case, you can go to the Edit page and copy the text. I don't usually do things by manually, but if you only need to do it once, it's sometimes cost effective. My favorite scraperwiki option is to push your dataset(s) to a ckan api! utilize this everytime, even if you are never going to the repo to use.someone else can. csvs, etc., and you are not writing/using your own parsers for them.
XML TOOLS WIKIPEDIA UPGRADE
Sraperwiki has more options, as well as even more options if you upgrade your account (which you should if you have to deal with data locked up in.
Here's your wikipedia article url, converted into a dataset: its also the reason why this solution is the easiest to implement. if you don't do that, you'll just be relying on some service, probably scraperwiki, to host the data for you.
csv/.xlsx formats, which takes care of me owning my data.
now your dataset(s) have been created, but you still have more options of what you can do with it.i always select view in a table, then download the data in. select create a new dataset, select extract data tables, then place the wikipedia url (any url) into the input form control and click extract tables. Sign up for basic (free) account, and then log in. Note that the PREFIX declaration in the SPARQL queries aren't mandatory with the Wikidata endpoint, since it seems to understand some default ones.Īnother option, and imo the easiest to implement, although that comes with a tradeoff in regards to owning your data outright. For CSV output one has to omit the format parameter and add an accept header, e.g. When omitting the format=json parameter, the REST endpoint return the results as XML document. Such a query can be entered in the Wikidata Query Service form or directly issued as REST get request. to check if the items and its properties represented by a Wikipedia table are also available in the Wikidata knowledge base.ĭepending on the data, instead of parsing the wiki text table, it might be easier to query Wikidata for that data.Īs an example, when trying to extract - say - country calling codes from Wikipedia, the data can also be retrieved with following SPARQL from Wikidata: PREFIX wdt: Sometimes it pays off to look one step ahead, i.e.