In my scrapy project I want to extract data from a website. It turned out that all information are stored in some script that I can easily read in JSON format and from there extract the data I need.
That's my function:
def parse(self, response):
items = response.css("script:contains('window.__INITIAL_STATE__')::text").re_first(r"window\.__INITIAL_STATE__ =(.*);")
for item in json.loads(items)['offers']:
yield {
"title": item['jobTitle'],
"employer": item['employer'],
"country": item['countryName'],
"details_page": item['companyProfileUrl'],
"expiration_date": item['expirationDate'],
'salary': item['salary'],
'employmentLevel': item['employmentLevel'],
}
And json file have that structure:
var = {
"offers":[
{
"commonOfferId":"1200072247",
"jobTitle":"Automatyk - Programista",
"employer":"MULTIPAK Spółka Akcyjna",
"companyProfileUrl":"https://pracodawcy.pracuj.pl/company/20379037/profile",
"expirationDate":"2021-04-28T12:47:06.273",
"salary":"",
"employmentLevel":"Specjalista (Mid / Regular)" ,
"offers": [
{
"offerId":500092126,
"regionName":"kujawsko-pomorskie",
"cities":["Małe Czyste (pow. chełmiński)"],
"label":"Małe Czyste (pow. chełmiński)"}],
Above example of one element. So when I try to extract data like cities or regioName I receive an error. How can I make for loop from throughout two dictionaries and yield that data date to the new dictionary?
You didn't make it clear what you want, but I'm guessing this is close:
def parse(self, response):
items = response.css("script:contains('window.__INITIAL_STATE__')::text").re_first(r"window\.__INITIAL_STATE__ =(.*);")
for item in json.loads(items)['offers']:
for offer in item['offers']:
yield {
"title": item['jobTitle'],
"employer": item['employer'],
"country": item['countryName'],
"details_page": item['companyProfileUrl'],
"expiration_date": item['expirationDate'],
'salary': item['salary'],
'employmentLevel': item['employmentLevel'],
'offernumber': offer['offerId'],
'region': offer['regionName'],
'city': offer['cities'][0]
}
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