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JobSpy is a job scraping library with the goal of aggregating all the jobs from popular job boards with one tool.

Features

  • Scrapes job postings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, & other job boards concurrently
  • Aggregates the job postings in a dataframe
  • Proxies support to bypass blocking

jobspy

Installation

pip install -U python-jobspy

Python version >= 3.10 required

Usage

import csv
from jobspy import scrape_jobs

jobs = scrape_jobs(
    site_name=["indeed", "linkedin", "zip_recruiter", "glassdoor"], # "bayt", "naukri", "bdjobs"
    search_term="software engineer",
    location="San Francisco, CA",
    results_wanted=20,
    hours_old=72,
    country_indeed='USA',
    
    # fetch_description=True # for boards whose search results don't include the description (slower)
    # proxies=["208.195.175.46:65095", "208.195.175.45:65095", "localhost"],
)
print(f"Found {len(jobs)} jobs")
print(jobs.head())
jobs.to_csv("jobs.csv", quoting=csv.QUOTE_NONNUMERIC, escapechar="\\", index=False) # to_excel

Output

SITE           TITLE                             COMPANY           CITY          STATE  JOB_TYPE  INTERVAL  MIN_AMOUNT  MAX_AMOUNT  JOB_URL                                            DESCRIPTION
indeed         Software Engineer                 AMERICAN SYSTEMS  Arlington     VA     None      yearly    200000      150000      https://www.indeed.com/viewjob?jk=5e409e577046...  THIS POSITION COMES WITH A 10K SIGNING BONUS!...
indeed         Senior Software Engineer          TherapyNotes.com  Philadelphia  PA     fulltime  yearly    135000      110000      https://www.indeed.com/viewjob?jk=da39574a40cb...  About Us TherapyNotes is the national leader i...
linkedin       Software Engineer - Early Career  Lockheed Martin   Sunnyvale     CA     fulltime  yearly    None        None        https://www.linkedin.com/jobs/view/3693012711      Description:By bringing together people that u...
linkedin       Full-Stack Software Engineer      Rain              New York      NY     fulltime  yearly    None        None        https://www.linkedin.com/jobs/view/3696158877      Rain’s mission is to create the fastest and ea...
zip_recruiter Software Engineer - New Grad       ZipRecruiter      Santa Monica  CA     fulltime  yearly    130000      150000      https://www.ziprecruiter.com/jobs/ziprecruiter...  We offer a hybrid work environment. Most US-ba...
zip_recruiter Software Developer                 TEKsystems        Phoenix       AZ     fulltime  hourly    65          75          https://www.ziprecruiter.com/jobs/teksystems-0...  Top Skills' Details• 6 years of Java developme...

Parameters for scrape_jobs()

Optional
├── site_name (list|str): 
|    linkedin, zip_recruiter, indeed, glassdoor, google, bayt, bdjobs, naukri
|    (default is all)
│
├── search_term (str)
|
├── google_search_term (str)
|     search term for google jobs. This is the only param for filtering google jobs.
│
├── 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 scraper 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
|
├── user_agent (str): 
|    override the default user agent which may be outdated
│
├── 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 
|    (Glassdoor rounds 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 0.)

├── fetch_description (bool): 
|    for boards whose search results don't include the job description: fetches each job's
|    page for the description and other details (e.g. job type). Without it these are empty
|    for those boards. Adds one request per job, so use proxies for larger searches
│
├── linkedin_fetch_description (bool): 
|    deprecated, use fetch_description (still works; removed in 2.0)
│
├── 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)
|
├── enforce_annual_salary (bool): 
|    converts wages to annual salary
|
├── ca_cert (str)
|    path to CA Certificate file for proxies

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*

Bayt

Bayt searches all countries unless location names one it covers, e.g. "Dubai, UAE" or "Saudi Arabia".

BDJobs

BDJobs searches Bangladesh. location takes a division or district, e.g. "Dhaka" or "Chattogram Division".

Naukri

Naukri searches India. location takes a city, e.g. "Pune".

Notes

  • Indeed is the best scraper currently with no rate limiting.
  • Indeed filters hours_old on when a job was added to Indeed, while date_posted is when the employer published it, so it can be older.
  • 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.
  • Glassdoor rate limits after about 30 requests per ip, which fetch_description reaches quickly.

Frequently Asked Questions

Q: Why is Indeed giving unrelated roles?
A: Indeed searches the description too.

  • use - to remove words
  • "" for exact match

Example of a good Indeed query

search_term='"engineering intern" software summer (java OR python OR c++) 2025 -tax -marketing'

This searches the description/title and must include software, summer, 2025, one of the languages, engineering intern exactly, no tax, no marketing.


Q: No results when using "google"?
A: Google Jobs is currently unavailable.


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.

JobPost Schema

JobPost
├── title
├── company
├── company_url
├── job_url
├── location
│   ├── country
│   ├── city
│   ├── state
├── is_remote
├── description
├── job_type: fulltime, parttime, internship, contract
├── job_function
│   ├── interval: yearly, monthly, weekly, daily, hourly
│   ├── min_amount
│   ├── max_amount
│   ├── currency
│   └── salary_source: direct_data, description (parsed from posting)
├── date_posted
└── emails

Linkedin specific
└── job_level

Linkedin & Indeed specific
└── company_industry

Indeed specific
├── company_country
├── company_addresses
├── company_employees_label
├── company_revenue_label
├── company_description
└── company_logo

Naukri specific
├── skills
├── experience_range
├── company_rating
├── company_reviews_count
├── vacancy_count
└── work_from_home_type

Metadata

Release files for python-jobspy 1.2.0

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