def metadata_from_url(url, microdata=True, jsonld=True, rdfa=True):
resp = requests.get(url, timeout=30)
result = {
'url': url,
'status': '{} {}'.format(resp.status_code, resp.reason)
}
try:
resp.raise_for_status()
except requests.exceptions.HTTPError:
return result
parser = XmlDomHTMLParser(encoding=resp.encoding)
tree = lxml.html.fromstring(resp.content, parser=parser)
if microdata:
mde = MicrodataExtractor(nested=True)
result['microdata'] = mde.extract_items(tree, resp.url)
if jsonld:
jsonlde = JsonLdExtractor()
result['json-ld'] = jsonlde.extract_items(tree, resp.url)
if rdfa:
rdfae = RDFaExtractor()
result['rdfa'] = rdfae.extract_items(tree, resp.url)
return result
def parse(self, response):
mde = MicrodataExtractor()
data = mde.extract(response.body)
for item in data:
if item['type'] in self.target_types:
record = {'indexed_date': datetime.date.today().isoformat(), 'url': response.url, 'body': item}
yield record
def parse_item(self, response):
items = []
def microdata2jsonld(md):
if md.get('properties'):
item = md['properties']
item['@type'] = md.get('type')
return item
items += map(microdata2jsonld, MicrodataExtractor().extract(
response.body_as_unicode(), response.url)['items'])
items += JsonLdExtractor().extract(
response.body_as_unicode(), response.url)['items']
if not items:
self.logger.debug("No Microdata items found for %s", response.url)
self.logger.debug("Checking URL for item: %s" , items)
for item in items:
if not item or not item.get('url'):
self.logger.debug("No URL for item: %s" , item)
continue
if item['url'] != response.url:
self.logger.debug("Not in main URL, go there..")
yield Request(item['url'], callback=self.parse_item)
else:
item['@type'] = item.get('type')
self.logger.debug("Parsed microdata: %s" % item)
yield item
def __init__(self, response, microdata=False, jsonld=False, rdfa=False):
self.response = response
self.microdata = microdata
self.jsonld = jsonld
self.rdfa = rdfa
if rdfa:
try:
self.rdfae = RDFaExtractor()
self.rdfadata = self.rdfae.extract(self.response.text,
url=self.response.url)
except JSONDecodeError:
pass
if microdata:
try:
self.mde = MicrodataExtractor()
self.mdedata = self.mde.extract(self.response.text)
except JSONDecodeError:
pass
if jsonld:
try:
self.jlde = JsonLdExtractor()
self.jldata = self.jlde.extract(self.response.text)
except (JSONDecodeError, TypeError):
self.jldata = []
finally:
# Sometimes we get this in the meta dict from RISJExtractJSONLD
self.jldata.extend(self.response.meta.get('json-ld', []))
def parse_listing(self, response):
mde = MicrodataExtractor()
data = mde.extract(response.body)['items']
if data:
it = {}
it['shop'] = data[0]['properties']
prod = data[1]['properties']
it.update(prod['offerDetails']['properties'])
it['name'] = prod['name']
it['url'] = response.url
it['properties'] = [x for x in response.css('#item-overview .properties li::text').extract() \
if all(y not in x.lower() for y in ['materials','feedback', 'favorited', 'ships'])]
it['materials'] = e0(response.css('#overview-materials::text'))
it['origin'] = e0(response.css('.origin::text'))
it['imgs'] = response.css(
'#image-carousel img::attr("src")').extract()
it['description'] = e0(response.css("#description-text"))
it['tags'] = response.css('#listing-tag-list li a::text').extract()
it['fineprints'] = [
x.strip()
for x in response.css('#fineprint li::text').extract()[:4]
]
it['rating'] = response.css(
'.review-rating meta::attr("content")').extract()
#it['html'] = response.body
yield it
def __init__(self, response):
mde = MicrodataExtractor()
try:
self.data = mde.extract(response.body, response.url)
except:
self.data = mde.extract(response.body.decode('latin-1'),
response.url)
def parse(self, response):
for beacon_page in response:
mde = MicrodataExtractor()
beacon_data=mde.extract(html_content)
yield{
beacon_data
}
def test_w3c_meter_element(self):
body = get_testdata('w3c', 'microdata.4.2.meter.html')
expected = json.loads(
get_testdata('w3c', 'microdata.4.2.meter.json').decode('UTF-8'))
mde = MicrodataExtractor(strict=True)
data = mde.extract(body)
self.assertDictEqual(data, expected)
def test_w3c_object_element(self):
body = get_testdata('w3c', 'microdata.object.html')
expected = json.loads(
get_testdata('w3c', 'microdata.object.json').decode('UTF-8'))
mde = MicrodataExtractor(strict=True)
data = mde.extract(body, 'http://www.example.com/microdata/test')
self.assertEqual(data, expected)
def test_w3c_7_1(self):
body = get_testdata('w3c', 'microdata.7.1.html')
expected = json.loads(
get_testdata('w3c', 'microdata.7.1.flat.json').decode('UTF-8'))
mde = MicrodataExtractor(nested=False, strict=True)
data = mde.extract(body, 'http://blog.example.com/progress-report')
self.assertEqual(data, expected)
def test_w3c_5_2(self):
body = get_testdata('w3c', 'microdata.5.2.html')
expected = json.loads(
get_testdata('w3c', 'microdata.5.2.withtext.json').decode('UTF-8'))
mde = MicrodataExtractor(add_text_content=True)
data = mde.extract(body)
self.assertEqual(data, expected)
def get_microdata_extruct_items(htmltext):
mde = MicrodataExtractor()
try:
items = mde.extract(htmltext)
except XMLSyntaxError:
return # Nothing to do here
return items
def test_join_none(self):
body = get_testdata('schema.org', 'product-ref.html')
expected = json.loads(
get_testdata('schema.org', 'product-ref.json').decode('UTF-8'))
mde = MicrodataExtractor()
data = mde.extract(body)
self.assertEqual(data, expected)
def test_w3c_textContent_values(self):
body = get_testdata('w3c', 'microdata.4.2.strings.html')
expected = json.loads(
get_testdata('w3c', 'microdata.4.2.strings.json').decode('UTF-8'))
mde = MicrodataExtractor(strict=True)
data = mde.extract(body)
self.assertEqual(data, expected)
def test_w3c_5_5(self):
body = get_testdata('w3c', 'microdata.5.5.html')
expected = json.loads(
get_testdata('w3c', 'microdata.5.5.json').decode('UTF-8'))
mde = MicrodataExtractor(strict=True)
data = mde.extract(body)
self.assertEqual(data, expected)
def parse_product(self, response):
mde = MicrodataExtractor()
data = mde.extract(response.body)
product_data = data['items'][1]['properties']
extra_data = {}
for l in response.body.split('\n'):
if 'vgoogle_ecommProd' in l:
line_data = l.strip()
key = line_data.split(':')[0].strip().replace(
'vgoogle_ecommProd', '')
value = line_data.split(':')[1][3:-3]
if key not in extra_data:
extra_data[key] = value
loader = ProductLoader(item=Product(), response=response)
loader.add_value('identifier',
product_data.get('sku', extra_data['ID']))
loader.add_value('sku', product_data.get('sku', extra_data['ID']))
loader.add_value('name', product_data.get('name', extra_data['Name']))
loader.add_value('url', response.url)
if 'price' in product_data:
loader.add_value('price', product_data['price'])
elif 'Price' in extra_data:
loader.add_value('price', extra_data['Price'])
else:
price = response.xpath('//*[(contains(@class, "product-item") and '
'contains(@class, "product-price")) or @id="price-amount"]//text()')\
.re(r'[\d\.,]+')
loader.add_value('price', price)
try:
loader.add_value(
'category', data['items'][0]['properties']['itemListElement']
[1]['properties']['name'])
except:
loader.add_value('category', extra_data['Cat'])
loader.add_value('brand',
product_data.get('manufacturer', extra_data['Brand']))
try:
loader.add_value(
'image_url',
response.urljoin(
response.xpath(
'//div[@id="prod-img-placehold"]/img/@srcset').re(
r'(.*\.jpg)')[0].split(',')[-1].strip()))
except:
pass
item = loader.load_item()
metadata = SpecSaversMeta()
promotional_data = response.xpath(
'//div[@class="arrow-container"]/div/text()').extract()
metadata['promotion'] = promotional_data[0].strip(
) if promotional_data else ''
item['metadata'] = metadata
yield item
def parse(self, response):
extractor = MicrodataExtractor()
items = extractor.extract(response.text, response.url)['items']
for it in items:
yield it['properties']
next_page_url = response.css("li.next > a::attr(href)").extract_first()
if next_page_url is not None:
yield scrapy.Request(response.urljoin(next_page_url))
def extract(htmlstring, url='http://www.example.com/', encoding="UTF-8"):
domparser = XmlDomHTMLParser(encoding=encoding)
tree = fromstring(htmlstring, parser=domparser)
return {
name: extractor.extract_items(tree, url=url)
for name, extractor in (('json-ld', JsonLdExtractor()),
('microdata', MicrodataExtractor()),
('rdfa', RDFaExtractor()))
}
def test_join_custom_url(self):
body = get_testdata('schema.org', 'product.html')
expected = json.loads(
get_testdata('schema.org',
'product_custom_url.json').decode('UTF-8'))
mde = MicrodataExtractor()
data = mde.extract(body, base_url='http://some-example.com')
self.assertEqual(data, expected)
def parse(self, response):
extractor = MicrodataExtractor()
properties = extractor.extract(response.body_as_unicode()).get('items')[0].get('properties', {})
item = response.meta.get('item', {})
item['url'] = response.url
item['title'] = properties.get('name').replace('Details about', '').strip()
item['price'] = float(
properties.get('offers', {}).get('properties', {}).get('price', 0)
)
yield item
def test_schemaorg_Event(self):
for i in [1, 2, 3, 4, 8]:
body = get_testdata('schema.org', 'Event.{:03d}.html'.format(i))
expected = json.loads(
get_testdata('schema.org',
'Event.{:03d}.json'.format(i)).decode('UTF-8'))
mde = MicrodataExtractor()
data = mde.extract(body)
self.assertEqual(data, expected)
def test_if_punctuations_in_description_are_correctly_formatted(self):
body = get_testdata('websites', 'microdata-with-description.html')
expected = json.loads(
get_testdata('websites',
'microdata-with-description.json').decode('UTF-8'))
mde = MicrodataExtractor()
data = mde.extract(body)
self.assertEqual(data, expected)
def parse_item(self, response):
"""Parse the recipe to get title and ingredients."""
schema_type = "mde"
mde = MicrodataExtractor()
data = mde.extract(response.body)
# print('response.body:', response.body)
# print('data:', data)
if len(data) == 0:
jslde = JsonLdExtractor()
data = jslde.extract(response.body)
schema_type = "jsonld"
if schema_type == "mde":
recipe = data[0]['properties']
# recipe_output_item = RecipeItem()
# recipe_output_item['recipe_name'] = recipe['name']
# recipe_output_item['ingredients'] = [
# ingredient for ingredient in recipe['ingredients']
# if ingredient not in ['', 'Add all ingredients to list']
# ]
# recipe_output_item['tags'] = [tag['properties']['title']
# for tag in data['items'][1:]]
# try:
# recipe_output_item['description'] = recipe['description']
# except KeyError:
# recipe_output_item['description'] = None
# recipe_output_item['url'] = recipe['url']
elif schema_type == "jsonld":
recipe = data['items'][0]
# recipe_output_item = RecipeItem()
# recipe_output_item['recipe_name'] = recipe['name']
# recipe_output_item['ingredients'] = recipe['ingredients']
# recipe_output_item['tags'] = [tag['properties']['title']
# for tag in data['items'][1:]]
# try:
# recipe_output_item['description'] = recipe['description']
# except KeyError:
# recipe_output_item['description'] = None
# recipe_output_item['url'] = recipe['url']
properties = [
'totalTime', 'nutrition', 'name', 'author', 'url', 'image',
'recipeIngredient', 'aggregateRating', 'recipeYield',
'recipeInstructions', 'video', 'mainEntityOfPage', 'cookTime',
'recipeCategory', 'review', 'prepTime', 'description'
]
recipe_output_item = RecipeItem()
for prop in properties:
try:
recipe_output_item[prop] = recipe[prop]
except KeyError:
recipe_output_item[prop] = None
yield recipe_output_item
def test_schemaorg_LocalBusiness(self):
for i in [2, 3]:
body = get_testdata('schema.org',
'LocalBusiness.{:03d}.html'.format(i))
expected = json.loads(
get_testdata(
'schema.org',
'LocalBusiness.{:03d}.json'.format(i)).decode('UTF-8'))
mde = MicrodataExtractor()
data = mde.extract(body)
self.assertEqual(data, expected)
def test_schemaorg_MusicRecording(self):
for i in [1]:
body = get_testdata('schema.org',
'MusicRecording.{:03d}.html'.format(i))
expected = json.loads(
get_testdata(
'schema.org',
'MusicRecording.{:03d}.json'.format(i)).decode('UTF-8'))
mde = MicrodataExtractor()
data = mde.extract(body)
self.assertDictEqual(data, expected)
def parse(self, response):
mde = MicrodataExtractor()
data = mde.extract(response.body)
for item in data['items']:
if item['type'] in self.target_types:
item['indexed_date'] = datetime.date.today().isoformat()
item['url'] = response.url
yield item
for url in response.xpath('//a/@href').extract():
if '/events' in url:
yield scrapy.Request(response.urljoin(url),
callback=self.parse)
def extract(self, html_text: str,
extract_title: bool = False,
extract_meta: bool = False,
extract_microdata: bool = False,
microdata_base_url: str = "",
extract_json_ld: bool = False,
extract_rdfa: bool = False,
rdfa_base_url: str = "") \
-> List[Extraction]:
"""
Args:
html_text (str): input html string to be extracted
extract_title (bool): True if string of 'title' tag needs to be extracted, return as { "title": "..." }
extract_meta (bool): True if string of 'meta' tags needs to be extracted, return as { "meta": { "author": "...", ...}}
extract_microdata (bool): True if microdata needs to be extracted, returns as { "microdata": [...] }
microdata_base_url (str): base namespace url for microdata, empty string if no base url is specified
extract_json_ld (bool): True if json-ld needs to be extracted, return as { "json-ld": [...] }
extract_rdfa (bool): True if rdfs needs to be extracted, returns as { "rdfa": [...] }
rdfa_base_url (str): base namespace url for rdfa, empty string if no base url is specified
Returns:
List[Extraction]: the list of extraction or the empty list if there are no matches.
"""
res = list()
soup = BeautifulSoup(html_text, 'html.parser')
if soup.title and extract_title:
title = self._wrap_data("title", soup.title.string.encode('utf-8').decode('utf-8'))
res.append(title)
if soup.title and extract_meta:
meta_content = self._wrap_meta_content(soup.find_all("meta"))
meta_data = self._wrap_data("meta", meta_content)
res.append(meta_data)
if extract_microdata:
mde = MicrodataExtractor()
mde_data = self._wrap_data("microdata", mde.extract(html_text, microdata_base_url))
res.append(mde_data)
if extract_json_ld:
jslde = JsonLdExtractor()
jslde_data = self._wrap_data("json-ld", jslde.extract(html_text))
res.append(jslde_data)
if extract_rdfa:
rdfae = RDFaExtractor()
rdfae_data = self._wrap_data("rdfa", rdfae.extract(html_text, rdfa_base_url))
res.append(rdfae_data)
return res
def parse_product(self, response):
mde = MicrodataExtractor()
try:
micro_data = mde.extract(response.body)['items']
gen_data = filter(lambda a: a['type'] == 'http://schema.org/Product',
micro_data)[0]['properties']
categories = [c['properties']['title']
for c in filter(lambda d: d['type'] == 'http://data-vocabulary.org/Breadcrumb',
micro_data)][1:]
except:
self.log('WARNING => Wrong product page in %s' % response.url)
return
main_name = gen_data['name']
if isinstance(main_name, list):
main_name = main_name[0]
main_brand = gen_data.get('brand', '')
if isinstance(main_brand, list):
main_brand = main_brand[0]
variants = response.xpath('//input[@name="ctl00$cphMain$ctl00$hidProductVariants"]/@value').extract()
if variants:
data = json.loads(self.html_parser.unescape(variants[0]))
for d in data:
for var in d['Variants']:
for size_data in var['Variants']:
color_name = size_data.get('Article', dict()).get('ColorName', '')
size_data = size_data['Article']
url = self.product_url % size_data
identifier = size_data['ItemOfferId']
name = main_name + ', ' + color_name + ', ' + size_data['FriendlySize']
price = size_data['WebInfo']['ArticlePriceDisplay']['FormattedSalePriceAfterWithCharges']
shipping_cost = size_data['FormattedDeliveryFee']
loader = ProductLoader(item=Product(), response=response)
loader.add_value('name', name)
loader.add_value('url', url)
loader.add_value('identifier', identifier)
loader.add_value('sku', size_data['ProductId'])
loader.add_value('price', extract_price_eu(price))
if shipping_cost:
loader.add_value('shipping_cost', extract_price_eu(shipping_cost))
loader.add_value('image_url', gen_data['image'][-1])
if size_data['AvailabilityCode'] != 'L':
loader.add_value('stock', 0)
loader.add_value('category', categories)
if main_brand:
loader.add_value('brand', main_brand)
yield loader.load_item()
else:
self.log('WARNING: Variants not found in => %s' % response.url)
def async_extruct(url, microdata=True, jsonld=True):
response.content_type = 'application/json'
resp = requests.get(url, timeout=30)
parser = lxml.html.HTMLParser(encoding=resp.encoding)
lxmldoc = lxml.html.fromstring(resp.content, parser=parser)
result = {'url': url, 'status': 'ok'}
if microdata:
mde = MicrodataExtractor(nested=True)
result['microdata'] = mde.extract_items(lxmldoc, url)
if jsonld:
jsonlde = JsonLdExtractor()
result['json-ld'] = jsonlde.extract_items(lxmldoc)
return result
def parse_item(self, response):
"""Parse the recipe to get title and ingredients."""
schema_type = "mde"
mde = MicrodataExtractor()
data = mde.extract(response.body)
if len(data['items']) == 0:
jslde = JsonLdExtractor()
data = jslde.extract(response.body)
schema_type = "jsonld"
if schema_type == "mde":
recipe = data['items'][2]['properties']
recipe_output_item = RecipeItem()
recipe_output_item['recipe_name'] = recipe['name']
recipe_output_item['ingredients'] = [
ingredient for ingredient in recipe['ingredients']
if ingredient not in ['', 'Add all ingredients to list']
]
recipe_tags = recipe['recipeCategory']
if 'recipeCuisine' in recipe.keys():
recipe_tags.append(recipe['recipeCuisine'])
recipe_output_item['tags'] = recipe_tags
try:
recipe_output_item['description'] = recipe['description']
except KeyError:
recipe_output_item['description'] = None
recipe_output_item['url'] = recipe['url']
elif schema_type == "jsonld":
recipe = data['items'][0]
recipe_output_item = RecipeItem()
recipe_output_item['recipe_name'] = recipe['name']
recipe_output_item['ingredients'] = recipe['ingredients']
recipe_output_item['tags'] = [
tag['properties']['title'] for tag in data['items'][1:]
]
try:
recipe_output_item['description'] = recipe['description']
except KeyError:
recipe_output_item['description'] = None
recipe_output_item['url'] = recipe['url']
yield recipe_output_item
