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import requests | |
import pandas as pd | |
number_of_pages = 100 | |
#number_of_ads = number_of_pages * per_page | |
job_title = ["'Data Analyst' and 'data scientist'"] | |
for job in job_title: | |
data=[] | |
for i in range(number_of_pages): | |
url = 'https://api.hh.ru/vacancies' | |
par = {'text': job, 'area':'113','per_page':'10', 'page':i} | |
r = requests.get(url, params=par) | |
e=r.json() | |
data.append(e) | |
vacancy_details = data[0]['items'][0].keys() | |
df = pd.DataFrame(columns= list(vacancy_details)) | |
ind = 0 | |
for i in range(len(data)): | |
for j in range(len(data[i]['items'])): | |
df.loc[ind] = data[i]['items'][j] | |
ind+=1 | |
csv_name = job+".csv" | |
df.to_csv(csv_name) |
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