Detect listing data

MDR assume the data record close to the elements has most text nodes:

[1]: import requests
[2]: from mdr.mdr import MDR
[3]: mdr = MDR()
[4]: r = requests.get('http://www.yelp.co.uk/biz/the-ledbury-london')
[5]: candidates, doc = mdr.list_candidates(r.text.encode('utf8'))
...

[8]: [doc.getpath(c) for c in candidates[:10]]
 ['/html/body/div[2]/div[3]/div[2]/div/div[1]/div[1]/div[2]/div[1]/div[2]/ul',
 '/html/body/div[2]/div[3]/div[2]/div/div[1]/div[2]',
 '/html/body/div[2]/div[3]/div[2]/div/div[1]/div[2]/div[2]',
 '/html/body/div[2]/div[3]/div[1]/div/div[4]/div[1]/div/div[1]/div/div[2]/div[1]/div[1]/div',
 '/html/body/div[2]/div[3]/div[1]/div/div[4]/div[2]/div/div[3]',
 '/html/body/div[2]/div[3]/div[1]/div/div[4]/div[1]/div/div[2]/ul/li[2]/div/div/ul',
 '/html/body/div[2]/div[3]/div[2]/div/div[1]/div[1]/div[2]/div[1]',
 '/html/body/div[2]/div[3]/div[2]/div/div[1]/div[2]/div[2]/div[1]/table/tbody',
 '/html/body/div[2]',
 '/html/body/div[2]/div[4]/div/div[1]']

Extract data record

MDR can find the repetiton pattern by using tree matching under certain candidate DOM tree.then it will build a mapping from so-called seed element to a list of matched elements from different DOM trees.

Used with annotation (optional)

You can annotate the seed record with any tools (e.g. scrapely) you like, then mdr will be able to find the other data in the page.

e.g. you can find this demo page here. the colored data in first row are annotated manually, the rest are extracted by MDR.