def extract_all_json_ld(html_text):
try:
jslde = JsonLdExtractor()
data = jslde.extract(html_text)
return data
except:
return {}
def test_schemaorg_CreativeWork(self):
body = get_testdata('schema.org', 'CreativeWork.001.html')
expected = json.loads(get_testdata('schema.org', 'CreativeWork.001.jsonld').decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertEqual(data, expected)
def test_schemaorg_CreativeWork(self):
for i in [1]:
body = get_testdata('schema.org', 'CreativeWork.{:03d}.html'.format(i))
expected = json.loads(get_testdata('schema.org', 'CreativeWork.{:03d}.jsonld'.format(i)).decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertEqual(data, expected)
def test_schemaorg_CreativeWork(self):
for i in [1]:
body = get_testdata('schema.org', 'CreativeWork.{:03d}.html'.format(i))
expected = json.loads(get_testdata('schema.org', 'CreativeWork.{:03d}.jsonld'.format(i)).decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertDictEqual(data, expected)
def test_songkick(self):
page = "Elysian Fields Brooklyn Tickets, The Owl Music Parlor, 31 Oct 2015"
body = get_testdata('songkick', '{}.html'.format(page))
expected = json.loads(get_testdata('songkick', '{}.jsonld'.format(page)).decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertEqual(data, expected)
def test_null(self):
page = "null_ld_mock"
body = get_testdata('misc', '{}.html'.format(page))
expected = json.loads(
get_testdata('misc', '{}.jsonld'.format(page)).decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertEqual(data, expected)
def parse_item(self, response):
self.logger.info('Hi, this is an item page! %s', response.url)
# Fields to output for each tool
my_keys = [
'@id', '@type', 'applicationCategory', 'name', 'alternateName',
'description', 'url', 'sameAs', 'image', 'genre',
'softwareVersion', 'softwareRequirements', 'operatingSystem',
'downloadUrl', 'installUrl'
]
#oururl= urlopen(url).read()
#print(oururl)
extractor = JsonLdExtractor()
#with urllib.request.urlopen(url) as response:
#html_text = response.read().decode('utf-8')
my_items = extractor.extract(response.body_as_unicode(), response.url)
# If this is a -tool page only:
#my_items = extractor.extract(html_text)
this_item = my_items['items'][0]['@graph'][0]
my_item = {}
# output all basic items
for this_key in my_keys:
# print(this_key,'\t',this_item[this_key])
my_item[this_key] = this_item[this_key]
# get license
license_type = this_item['license']['@type']
license_text = self.removeNonAscii(this_item['license']['text'])
# print('license_type','\t',license_type)
# print('license_text','\t',license_text)
my_item['license_type'] = license_type
my_item['license_text'] = license_text
# Get pmcrefcount of first only
Entrez.email = "*****@*****.**"
first_pub = this_item['publication'][0]
pmcrefcount = 0
if 'pubmed' in first_pub['url']:
this_pmid = first_pub['url'].split('/')[-1:]
pmcrefcount = Entrez.read(
Entrez.efetch(db="pubmed", id=this_pmid,
rettype="docsum"))[0]['PmcRefCount']
# print('primary_pub','\t',first_pub['name'])
# print('primary_pub_url','\t',first_pub['url'])
# print('primary_pub_pmcrefcount','\t',pmcrefcount)
my_item['primary_pub'] = first_pub['name']
my_item['primary_pub_url'] = first_pub['url']
my_item['primary_pub_pmcrefcount'] = pmcrefcount
#return my_item
yield my_item
return my_item
def test_jsonld_with_comments(self):
for prefix in ['JoinAction.001', 'AllocateAction.001']:
body = get_testdata('schema.org.invalid', '{}.html'.format(prefix))
name = '{}.jsonld'.format(prefix)
expected = json.loads(get_testdata('schema.org.invalid', name).decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertEqual(data, expected)
for prefix in ['JoinAction.001',
'AllocateAction.001',
]:
body = get_testdata('custom.invalid', '{}.html'.format(prefix))
expected = json.loads(get_testdata('custom.invalid', '{}.jsonld'.format(prefix)).decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.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_songkick(self):
for page in [
"Elysian Fields Brooklyn Tickets, The Owl Music Parlor, 31 Oct 2015",
#"Maxïmo Park Gigography, Tour History & Past Concerts",
#"Years & Years Tickets, Tour Dates 2015 & Concerts",
]:
body = get_testdata('songkick', '{}.html'.format(page))
expected = json.loads(get_testdata('songkick', '{}.jsonld'.format(page)).decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertDictEqual(data, expected)
def test_songkick(self):
for page in [
"Elysian Fields Brooklyn Tickets, The Owl Music Parlor, 31 Oct 2015",
#"Maxïmo Park Gigography, Tour History & Past Concerts",
#"Years & Years Tickets, Tour Dates 2015 & Concerts",
]:
body = get_testdata('songkick', '{}.html'.format(page))
expected = json.loads(get_testdata('songkick', '{}.jsonld'.format(page)).decode('UTF-8'))
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertEqual(data, expected)
def set_data(self):
""" Extract JSON-LD data from self.page and store as a string in self.data. Return True if data is present, False if not. Raise RuntimeError if JSON-LD cannot be extracted (e.g. if it is malformed)."""
jslde = JsonLdExtractor()
try:
self.data = dumps(jslde.extract(self.page, base_url=self.base_url))
if self.data == "[]":
return False
else:
return True
except:
msg = "Error extracting data from page"
raise RuntimeError(msg)
def extract_json_ld(html, typ_str):
try:
jslde = JsonLdExtractor()
items = jslde.extract(html)
for item in items:
item_context = item.get('@context', '').rstrip(' /')
if (item_context == 'http://schema.org' or item_context == 'https://schema.org') \
and item.get('@type', '') == typ_str:
return item
return None
except:
return None
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 loadSOGraphFromHtml(html, url):
"""
Extract jsonld entries from provided HTML text
Args:
html(string): HTML text to be parsed
Returns:
ConjunctiveGraph: Graph loaded from html
"""
jslde = JsonLdExtractor()
json_content = jslde.extract(html)
g = ConjunctiveGraph()
for json_data in json_content:
g_data = loadSOGraph(data=json.dumps(json_data), publicID=url)
g += g_data
return g
def parse_scene(self, response):
jslde = JsonLdExtractor()
json = jslde.extract(response.text)
data = {}
for obj in json:
if obj['@type'] == 'VideoObject':
data = obj
break
item = SceneItem()
item['title'] = self.cleanup_title(data['name'])
item['description'] = self.cleanup_description(data['description'])
item['image'] = data['thumbnail']
item['image_blob'] = None
item['id'] = self.get_id(response)
item['trailer'] = data['contentUrl']
item['url'] = response.url
item['date'] = self.parse_date(data['datePublished']).isoformat()
item['site'] = data['author']['name']
item['network'] = self.network
item['parent'] = item['site']
item['performers'] = []
for model in data['actor']:
item['performers'].append(model['name'])
item['tags'] = self.get_tags(response)
days = int(self.days)
if days > 27375:
filterdate = "0000-00-00"
else:
filterdate = date.today() - timedelta(days)
filterdate = filterdate.strftime('%Y-%m-%d')
if self.debug:
if not item['date'] > filterdate:
item['filtered'] = "Scene filtered due to date restraint"
print(item)
else:
if filterdate:
if item['date'] > filterdate:
yield item
else:
yield item
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
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
def extract(self, html_text: str,
extract_title: bool = False,
extract_meta: bool = False,
extract_microdata: bool = False,
extract_json_ld: bool = False,
extract_rdfa: bool = False) \
-> List[Extraction]:
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))
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))
res.append(rdfae_data)
return res
def parse_job(self, response):
# Create the loader using the response
# E.G. : l.add_xpath('item', '*xpath*', re='*expression*')
jslde = JsonLdExtractor()
data = jslde.extract(response.text)
data = data[0]
l = ItemLoader(item=JobsjsonItem(), response=response)
l.add_value('search_postcode', self.search_postcode)
l.add_value('search_radius', self.search_radius)
l.add_value('date_scraped', time.strftime("%Y-%m-%d %H:%M:%S"))
l.add_value('date_posted', data['datePosted'])
l.add_value('valid_until', data['validThrough'])
l.add_value('job_id', response.url, re='\d{7}')
l.add_value('job_title', data['title'])
l.add_value('job_type', data['employmentType'])
l.add_value('location', ",".join([ data['jobLocation']['address']['addressLocality'], data['jobLocation']['address']['addressRegion'], data['jobLocation']['address']['postalCode'], data['jobLocation']['address']['addressCountry']]))
l.add_xpath('contact_name', '//table[@class="job-listing-table"]//tr[8]//td//text()')
l.add_xpath('start_date', '//table[@class="job-listing-table"]//tr[6]//td//text()')
try:
l.add_value('salary_min', data['baseSalary']['value']['value'])
except:
l.add_value('salary_min', 'NA')
l.add_value('listed_on', data['datePosted'])
l.add_value('recruiter', data['hiringOrganization']['name'])
l.add_value('recruiter_url', data['hiringOrganization']['sameAs'])
try:
l.add_value('job_reference', data['identifier']['value'])
except:
l.add_value('job_reference', 'NA')
l.add_value('url', response.url)
l.add_value('job_description', data['description'])
l.add_value('job_skills', data['skills'])
l.add_value('addressLocality', data['jobLocation']['address']['addressLocality'])
l.add_value('addressRegion', data['jobLocation']['address']['addressRegion'])
l.add_value('postalCode', data['jobLocation']['address']['postalCode'])
l.add_value('addressCountry', data['jobLocation']['address']['addressCountry'])
return l.load_item()
def _extract_json_data(self, blob):
html = blob.download_as_string().decode()
jslde = JsonLdExtractor()
data = jslde.extract(html)
return json.dumps(strip_strings(data))
def _check_jsonld(self, body, expected):
jsonlde = JsonLdExtractor()
data = jsonlde.extract(body)
self.assertEqual(data, expected)
def getJsonLdFromHTML(html_text):
"""
Returns an array of json_ld structures found in the provided html_text
"""
jslde = JsonLdExtractor()
return jslde.extract(html_text)
class RISJMetadataExtractor(object):
"""An extruct-based metadata extractor"""
# TODO: Extend to microdata and RDFa, replacing bespoke xpath code. Then
# test on body of crawlers!
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 extract_newsarticle_schemaorg(self,
microdata=None,
jsonld=None,
rdfa=None):
"""Extract schema.org NewsArticle metadata, encoded using any
supported metadata format. Note that we only try to extract the
*first* block of NewsArticle data for each method (which is then
combined with the first extracted from other methods if more than
one is selected."""
if microdata is None:
microdata = self.microdata
if jsonld is None:
jsonld = self.jsonld
if rdfa is None:
rdfa = self.rdfa
outd = {}
if jsonld:
for d in self.jldata:
# logger.debug('Analysing JSON-LD data: '+pformat(d))
try:
if (re.match(r'https?://schema.org/?', d['@context'])
and d['@type'] == 'NewsArticle'):
outd.update(d)
except (KeyError, TypeError):
continue
if microdata:
for d in self.mdedata:
logger.debug('Analysing W3C microdata: ' + pformat(d))
if re.match(r'https?://schema.org/NewsArticle/?',
d.get('type', '')):
outd.update(d)
if rdfa:
raise NotImplementedError
# logger.debug('Returning schema.org NewsArticle: '+pformat(outd))
return outd
