microdata.py is a small utility library for extracting HTML5 Microdata from HTML. It depends on html5lib to do the heavy lifting of building the DOM. For more about HTML5 Microdata check out Mark Pilgrim's chapter on on it in Dive Into HTML5.
When you install microdata via pip it will also install a command line utility:
$ microdata https://www.youtube.com/watch?v=dQw4w9WgXcQ
https://www.youtube.com/watch?v=dQw4w9WgXcQ
{
"items": [
{
"type": [
"http://schema.org/VideoObject"
],
"properties": {
"url": [
"https://www.youtube.com/watch?v=dQw4w9WgXcQ"
],
"name": [
"Rick Astley - Never Gonna Give You Up (Official Music Video)"
],
"description": [
"The official video for \u00e2\u20ac\u0153Never Gonna Give You Up\u00e2\u20ac\ufffd by Rick Astley \u00e2\u20ac\u0153Never Gonna Give You Up\u00e2\u20ac\ufffd was a global smash on its release in July 1987, topping the charts ..."
],
"paid": [
"False"
],
"channelId": [
"UCuAXFkgsw1L7xaCfnd5JJOw"
],
"videoId": [
"dQw4w9WgXcQ"
],
"duration": [
"PT3M33S"
],
"unlisted": [
"False"
],
"author": [
{
"type": [
"http://schema.org/Person"
],
"properties": {
"url": [
"http://www.youtube.com/channel/UCuAXFkgsw1L7xaCfnd5JJOw"
],
"name": [
""
]
}
}
],
"thumbnailUrl": [
"https://i.ytimg.com/vi/dQw4w9WgXcQ/maxresdefault.jpg"
],
"thumbnail": [
{
"type": [
"http://schema.org/ImageObject"
],
"properties": {
"url": [
"https://i.ytimg.com/vi/dQw4w9WgXcQ/maxresdefault.jpg"
],
"width": [
"1280"
],
"height": [
"720"
]
}
}
],
"embedUrl": [
"https://www.youtube.com/embed/dQw4w9WgXcQ"
],
"playerType": [
"HTML5 Flash"
],
"width": [
"1280"
],
"height": [
"720"
],
"isFamilyFriendly": [
"true"
],
"regionsAllowed": [
"AD,AE,AF,AG,AI,AL,AM,AO,AQ,AR,AS,AT,AU,AW,AX,AZ,BA,BB,BD,BE,BF,BG,BH,BI,BJ,BL,BM,BN,BO,BQ,BR,BS,BT,BV,BW,BY,BZ,CA,CC,CD,CF,CG,CH,CI,CK,CL,CM,CN,CO,CR,CU,CV,CW,CX,CY,CZ,DE,DJ,DK,DM,DO,DZ,EC,EE,EG,EH,ER,ES,ET,FI,FJ,FK,FM,FO,FR,GA,GB,GD,GE,GF,GG,GH,GI,GL,GM,GN,GP,GQ,GR,GS,GT,GU,GW,GY,HK,HM,HN,HR,HT,HU,ID,IE,IL,IM,IN,IO,IQ,IR,IS,IT,JE,JM,JO,JP,KE,KG,KH,KI,KM,KN,KP,KR,KW,KY,KZ,LA,LB,LC,LI,LK,LR,LS,LT,LU,LV,LY,MA,MC,MD,ME,MF,MG,MH,MK,ML,MM,MN,MO,MP,MQ,MR,MS,MT,MU,MV,MW,MX,MY,MZ,NA,NC,NE,NF,NG,NI,NL,NO,NP,NR,NU,NZ,OM,PA,PE,PF,PG,PH,PK,PL,PM,PN,PR,PS,PT,PW,PY,QA,RE,RO,RS,RU,RW,SA,SB,SC,SD,SE,SG,SH,SI,SJ,SK,SL,SM,SN,SO,SR,SS,ST,SV,SX,SY,SZ,TC,TD,TF,TG,TH,TJ,TK,TL,TM,TN,TO,TR,TT,TV,TW,TZ,UA,UG,UM,US,UY,UZ,VA,VC,VE,VG,VI,VN,VU,WF,WS,YE,YT,ZA,ZM,ZW"
],
"interactionCount": [
"1141688870"
],
"datePublished": [
"2009-10-24"
],
"uploadDate": [
"2009-10-24"
],
"genre": [
"Music"
]
}
}
]
}
Here's the basic usage from Python using https://raw.github.com/edsu/microdata/master/test-data/example.html as an example:
>>> import microdata
>>> import urllib
>>> url = "https://raw.github.com/edsu/microdata/master/test-data/example.html"
>>> items = microdata.get_items(urllib.urlopen(url))
>>> item = items[0]
>>> item.itemtype
[http://schema.org/Person]
>>> item.name
u"Jane Doe"
>>> item.colleagues
u"http://www.xyz.edu/students/alicejones.html"
>>> item.get_all('colleagues')
[u"http://www.xyz.edu/students/alicejones.html", u"http://www.xyz.edu/students/bobsmith.html"]
>>> print item.json()
{
"type": [
"http://schema.org/Person"
],
"id": "http://www.xyz.edu/~jane",
"properties": {
"colleagues": [
"http://www.xyz.edu/students/alicejones.html",
"http://www.xyz.edu/students/bobsmith.html"
],
"name": [
"Jane Doe"
],
"url": [
"http://www.janedoe.com"
],
"jobTitle": [
"Professor"
],
"image": [
"janedoe.jpg"
],
"telephone": [
"(425) 123-4567"
],
"address": [
{
"type": [
"http://schema.org/PostalAddress"
],
"properties": {
"addressLocality": [
"Seattle"
],
"addressRegion": [
"WA"
],
"streetAddress": [
"\n 20341 Whitworth Institute\n 405 N. Whitworth\n "
],
"postalCode": [
"98052"
]
}
}
],
"email": [
"mailto:[email protected]"
]
}
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