async def jobs(q:str, l:str, page_id: int = 0):
try:
job_html = get_jobs(q, l, page_id)
jobs_info = get_job_info(job_html)
return jobs_info
except Exception:
raise HTTPException(400, 'Error unable to fetch jobs')
def report():
word = request.args.get('word')
if word:
word = word.lower()
fromDB = db.get(word)
if fromDB:
jobs = fromDB
else:
jobs = get_jobs(word)
db[word] = jobs
else:
return redirect("/")
return render_template("report.html",
searchingBy=word,
resultsNumber=len(jobs),
jobs=jobs)
def report():
word = request.args.get("word")
if (word):
word = word.lower()
existingJobs = db.get(word)
if (existingJobs):
jobs = existingJobs
else:
jobs = get_jobs(word)
db[word] = jobs
else:
return redirect("/")
return render_template("report.html",
resultsNumber=len(jobs),
searchingBy=word,
jobs=jobs)
def report():
word = request.args.get('word')
if word:
word = word.lower() #대문자 입력시 소문자 변환용
existingJobs = db.get(word)
if existingJobs:
jobs = []
else:
jobs = get_jobs(word)
db[word] = jobs
else:
return redirect("/")# 미입력시 홈으로 redirect
return render_template(
"report.html",
searchingBy=word,
resultsNumber=len(jobs),
jobs=jobs)
def report():
word = request.args.get("word")
if word:
word = word.lower()
JobDB = db.get(word)
if JobDB:
jobs = JobDB
else:
jobs = get_jobs(word)
db[word] = jobs
else:
return redirect("/")
return render_template("report.html",
searchingBy=word,
resultsNumber=len(jobs),
jobs=jobs
# job마다 html로 랜더링하기
)
def report():
query = request.args.get('query')
if query:
query = query.lower()
existing_jobs = db.get(query)
if existing_jobs:
jobs = existing_jobs
else:
jobs = get_jobs(query)
db[query] = jobs
else:
return redirect('/')
return render_template(
"report.html",
query=query,
results_number=len(jobs),
jobs=jobs
)
def report():
# query arguments
word = request.args.get('word')
if word:
word = word.lower()
existingJobs = db.get(word)
if existingJobs:
jobs = existingJobs
else:
jobs = get_jobs(word)
db[word] = jobs
else:
# we don't want anyone to access /report without any word
# better redirect it to home
return redirect("/")
return render_template("report.html",
searchingBy=word,
resultsNumber=len(jobs),
jobs=jobs)
def report():
word = request.args.get("word")
if word:
word = word.lower()
existingJobs = db.get(word)
if existingJobs:
jobs = existingJobs
else:
jobs = get_jobs(word)
db[word] = jobs
else:
return redirect('/')
return render_template('report.html',
searchingBy=word,
resultNumber=len(jobs),
jobs=jobs)
def search():
#request.args
word = request.args.get("word")
# 입력값이 None(null)이면 소문자처리, 입력값없으면 홈으로(/) redirect
if word:
word = word.lower()
# 기존에 조회했던 기록이 있다면 fake DB에서 가져온다. (for Saving time)
checkData = db.get(word)
if checkData:
jobs = checkData
else:
jobs = get_jobs(word)
db[word] = jobs
else:
return redirect("/")
return render_template("search.html",
word=word,
length=len(jobs),
jobs=jobs)
import scraper
import pandas as pd
path = "/usr/bin/google-chrome-stable"
# Data Science
df = scraper.get_jobs("Data Scientist", 1000, False, path, 10)
df.to_csv('data/data_scientist.csv')
# Data Engineering
df = scraper.get_jobs("Data Engineer", 1000, False, path, 10)
df.to_csv('data/data_engineer.csv')
# Data Analyst
df = scraper.get_jobs("Data Analyst", 1000, False, path, 10)
df.to_csv('data/data_analyst.csv')
# Machine learning engineer
df = scraper.get_jobs("Machine Learning Engineer", 1000, False, path, 10)
df.to_csv('data/ml_engineer.csv')
"Orange County, California", "Dallas, Texas", "Fort Worth, Texas",
"Kansas City, Missouri", "Indianapolis, Indiana",
"Salt Lake City, Utah", "Nashville, Tennessee"
]
jobs_list = [
"Scrum master", "Network administrator", "User interface developer",
"Php developer", "Data architect", "Information technology manager",
"Business intelligence developer", "User interface designer",
"Product manager", "Technical account manager",
"Systems administrator", "Mobile developer",
"Quality assurance manager", "Software engineer",
"Solutions architect", "User experience designer",
"Database administrator", "Data engineer", "DevOps engineer",
"Data scientist", "Hardware Engineer", "Salesforce administrator",
"Cloud engineer"
]
counter = 0
THE_DATA = []
for job in jobs_list:
for city in city_state_list[CITY_NUMBER:CITY_NUMBER + 1]:
jobs = scraper.get_jobs(job, city, 25, 10)
for x in jobs:
print(str(job) + " - " + str(city) + ": " + str(counter))
counter = counter + 1
THE_DATA.append(x)
with open("./data/" + city + ".txt", "w") as f:
f.write(json.dumps(THE_DATA))
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 16 21:17:19 2020
@author: Johnson
"""
import scraper as gs
import pandas as pd
df = gs.get_jobs("data scientist", 500, False, 15)
df.to_csv('glassdoor_jobs.csv', index=False)
import scraper as sp
import pandas as pd
df = sp.get_jobs("data scientist", 10, False, 2)
df.to_csv('Details.csv', index=False)
'''
Created on 10/3/2020
tutorial: https://www.youtube.com/watch?v=GmW4F6MHqqs
'''
import scraper as sc
path = 'C:/Users/User/PycharmProjects/GlassdoorDataScienceJobs/chromedriver'
df = sc.get_jobs('data scientist', 1000, False, path, 15)
df.to_csv('glassdoor_jobs.csv', index=False)
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 5 00:05:42 2020
@author: carso
"""
import scraper as scrape
import pandas as pd
df = scrape.get_jobs("data scientist", 1000, False,
"D:\Github\Data Science Project\chromedriver.exe")
df.to_csv("data_science_jobs.csv", index=False)
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 1 22:42:51 2020
@author: wraith
"""
import scraper
import pandas as pd
df = scraper.get_jobs('data scientist', 2000, False)
