python-jobscrape 1.1.60

Job scraper for LinkedIn, Indeed, Glassdoor & ZipRecruiter

Jobscrape is a simple, yet comprehensive, job scraping library.

Features

• Simultaneously scrapes job postings from popular boards(LinkedIn, Indeed, Glassdoor, & ZipRecruiter)
• Aggregates job postings into a Pandas DataFrame.
• Supports proxies for enhanced scraping capabilities.

Installation

pip install -U python-jobscrape

Python version >= 3.10 required

Usage

import csv
from jobspy import scrape_jobs

search_term = "Energy Technician"  # Define your search term here
location = "Dallas, TX"

jobs = scrape_jobs(
    site_name=["indeed", "linkedin", "glassdoor"],
    search_term=search_term,
    location=location,
    results_wanted=20,
    hours_old=72,  # (only Linkedin/Indeed is hour specific, others round up to days old)
    country_indeed='USA',  # only needed for indeed / glassdoor
    # linkedin_fetch_description=True  # get full description and direct job url for linkedin (slower)
    # proxies=["208.195.175.46:65095", "208.195.175.45:65095", "localhost"],
)

print(f"Found {len(jobs)} jobs")
print(jobs.head())

# Dynamically create the CSV filename
filename = f"{search_term.replace(' ', '_')}_{location.replace(' ', '_')}.csv"
jobs.to_csv(filename, quoting=csv.QUOTE_NONNUMERIC, escapechar="\\", index=False)
print(f"CSV saved as {filename}")

Parameters for scrape_jobs()

Optional
├── site_name (list|str): 
|    linkedin, zip_recruiter, indeed, glassdoor 
|    (default is all four)
│
├── search_term (str)
│
├── location (str)
│
├── distance (int): 
|    in miles, default 50
│
├── job_type (str): 
|    fulltime, parttime, internship, contract
│
├── proxies (list): 
|    in format ['user:pass@host:port', 'localhost']
|    each job board will round robin through the proxies
│
├── is_remote (bool)
│
├── results_wanted (int): 
|    number of job results to retrieve for each site specified in 'site_name'
│
├── easy_apply (bool): 
|    filters for jobs that are hosted on the job board site
│
├── description_format (str): 
|    markdown, html (Format type of the job descriptions. Default is markdown.)
│
├── offset (int): 
|    starts the search from an offset (e.g. 25 will start the search from the 25th result)
│
├── hours_old (int): 
|    filters jobs by the number of hours since the job was posted 
|    (ZipRecruiter and Glassdoor round up to next day.)
│
├── verbose (int) {0, 1, 2}: 
|    Controls the verbosity of the runtime printouts 
|    (0 prints only errors, 1 is errors+warnings, 2 is all logs. Default is 2.)

├── linkedin_fetch_description (bool): 
|    fetches full description and direct job url for LinkedIn (Increases requests by O(n))
│
├── linkedin_company_ids (list[int]): 
|    searches for linkedin jobs with specific company ids
|
├── country_indeed (str): 
|    filters the country on Indeed & Glassdoor (see below for correct spelling)

├── Indeed limitations:
|    Only one from this list can be used in a search:
|    - hours_old
|    - job_type & is_remote
|    - easy_apply
│
└── LinkedIn limitations:
|    Only one from this list can be used in a search:
|    - hours_old
|    - easy_apply

JobPost Schema

JobPost
├── title (str)
├── company (str)
├── company_url (str)
├── job_url (str)
├── location (object)
│   ├── country (str)
│   ├── city (str)
│   ├── state (str)
├── description (str)
├── job_type (str): fulltime, parttime, internship, contract
├── job_function (str)
├── compensation (object)
│   ├── interval (str): yearly, monthly, weekly, daily, hourly
│   ├── min_amount (int)
│   ├── max_amount (int)
│   └── currency (enum)
├── date_posted (date)
├── emails (str)
└── is_remote (bool)

Indeed specific
├── company_country (str)
└── company_addresses (str)
└── company_industry (str)
└── company_employees_label (str)
└── company_revenue_label (str)
└── company_description (str)
└── ceo_name (str)
└── ceo_photo_url (str)
└── logo_photo_url (str)
└── banner_photo_url (str)

Supported Countries for Job Searching

LinkedIn

LinkedIn searches globally & uses only the location parameter.

ZipRecruiter

ZipRecruiter searches for jobs in US/Canada & uses only the location parameter.

Indeed / Glassdoor

Indeed & Glassdoor supports most countries, but the country_indeed parameter is required. Additionally, use the location parameter to narrow down the location, e.g. city & state if necessary.

You can specify the following countries when searching on Indeed (use the exact name, * indicates support for Glassdoor):

Argentina	Australia*	Austria*	Bahrain
Belgium*	Brazil*	Canada*	Chile
China	Colombia	Costa Rica	Czech Republic
Denmark	Ecuador	Egypt	Finland
France*	Germany*	Greece	Hong Kong*
Hungary	India*	Indonesia	Ireland*
Israel	Italy*	Japan	Kuwait
Luxembourg	Malaysia	Mexico*	Morocco
Netherlands*	New Zealand*	Nigeria	Norway
Oman	Pakistan	Panama	Peru
Philippines	Poland	Portugal	Qatar
Romania	Saudi Arabia	Singapore*	South Africa
South Korea	Spain*	Sweden	Switzerland*
Taiwan	Thailand	Turkey	Ukraine
United Arab Emirates	UK*	USA*	Uruguay
Venezuela	Vietnam*

Notes

• Indeed is the best scraper currently with no rate limiting.
• All the job board endpoints are capped at around 1000 jobs on a given search.
• LinkedIn is the most restrictive and usually rate limits around the 10th page with one ip. Proxies are a must basically.

Frequently Asked Questions

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Q: Encountering issues with your queries?
A: Try reducing the number of results_wanted and/or broadening the filters. If problems persist, submit an issue.

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Q: Received a response code 429?
A: This indicates that you have been blocked by the job board site for sending too many requests. All of the job board sites are aggressive with blocking. We recommend:

• Wait some time between scrapes (site-dependent).
• Try using the proxies param to change your IP address.

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