95 lines
3.8 KiB
Python
95 lines
3.8 KiB
Python
import requests
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import json
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import time
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import re
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import csv
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import math
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headers = {
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'authority': 'www.naukrigulf.com',
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'accept': 'application/json',
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'accept-format': 'strict',
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'accept-language': 'ENGLISH',
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'appid': '205',
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'cache-control': 'no-cache',
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'client-type': 'desktop',
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'clientid': 'desktop',
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'device-type': 'desktop',
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'puppeteer': 'false',
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'referer': 'https://www.naukrigulf.com/jobs-in-uae',
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'sec-ch-ua': '"Microsoft Edge";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': 'Windows',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'systemid': '2323',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36 Edg/117.0.2045.12',
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'userdata': '|IN'
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}
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error_pages = []
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keys_to_extract = ['designation', 'jobId', 'company','latestPostedDate','isEasyApply','jobSource','location','jdURL','vacancies']
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fields_to_write = ['designation', 'jobId', 'company','latestPostedDate','isEasyApply','jobSource','location','jdURL','vacancies','city']
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input_file = "naukri/_gulf_location.csv"
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jobs_per_pages = 50
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base_url = "https://www.naukrigulf.com/spapi/jobapi/search?Experience=&Keywords=&KeywordsAr=&Limit=50&Location={}&LocationAr=&Offset={}&SortPreference=&breadcrumb=1&locationId=&nationality=&nationalityLabel=&pageNo={}&srchId='"
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def parse_and_save(json_data, csv_filename, city):
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parsed_data = []
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for job in json_data["jobs"]:
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parsed_item = {field: job.get(field, None) for field in keys_to_extract}
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parsed_item['city'] = city
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parsed_data.append(parsed_item)
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#parsed_data.extend(city)
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with open(csv_filename, "a", newline="", encoding="utf-8") as csvfile:
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csv_writer = csv.DictWriter(csvfile, fieldnames= fields_to_write)
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csv_writer.writeheader()
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csv_writer.writerows(parsed_data)
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def main():
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#for page_number in range(1, 4700): # Adjust the range as needed
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with open(input_file, 'r') as file:
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file_read = csv.reader(file)
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for city in file_read:
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city_read_url = city[0].replace("\n","")
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output_data=[]
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total_pages = 1000
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output_filename_json = f"{city[0]}.json"
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output_filename_csv = "output_all_gulf.csv"
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start_page = 1
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if(city[0] == "pharma"):
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start_page = 173
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total_pages = 22
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total_page_num = 194
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while total_pages>0:
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url = base_url.format(city[0],(jobs_per_pages*(start_page-1)),start_page)
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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json_data = response.json()
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if(total_pages == 1000):
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total_jobs = json_data["totalJobsCount"]
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total_pages = math.ceil(total_jobs/jobs_per_pages)
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total_page_num = total_pages
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parse_and_save(json_data, output_filename_csv, city[0])
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print(f"Processed{url} : {start_page}/{total_page_num}/{total_pages}")
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total_pages = total_pages-1
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start_page = start_page+1
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else:
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print("Error : ",response.status_code," at url ",url)
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error_pages.append(url)
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total_pages = total_pages-1
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start_page = start_page+1
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print("Data saved to output_new.json")
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print(error_pages)
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if __name__ == "__main__":
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main() |