Jobs scraper library for LinkedIn, Indeed, Glassdoor & ZipRecruiter
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README.md

JobSpy AIO Scraper

Features

  • Scrapes job postings from LinkedIn, Indeed & ZipRecruiter simultaneously
  • Returns jobs as JSON or CSV with title, location, company, description & other data
  • Imports directly into Google Sheets
  • Optional JWT authorization

jobspy_gsheet

API

POST /api/v1/jobs/

Request Schema

Required
├── site_type (List[enum]): linkedin, zip_recruiter, indeed
└── search_term (str)
Optional
├── location (int)
├── distance (int)
├── job_type (enum): fulltime, parttime, internship, contract
├── is_remote (bool)
├── results_wanted (int): per site_type
├── easy_apply (bool): only for linkedin
└── output_format (enum): json, csv, gsheet

Request Example

"site_type": ["indeed", "linkedin"],
"search_term": "software engineer",
"location": "austin, tx",
"distance": 10,
"job_type": "fulltime",
"results_wanted": 15
"output_format": "gsheet"

Response Schema

site_type (enum): 
JobResponse
├── success (bool)
├── error (str)
├── jobs (List[JobPost])
│   └── JobPost
│       ├── title (str)
│       ├── company_name (str)
│       ├── job_url (str)
│       ├── location (object)
│       │   ├── country (str)
│       │   ├── city (str)
│       │   ├── state (str)
│       ├── description (str)
│       ├── job_type (enum)
│       ├── compensation (object)
│       │   ├── interval (CompensationInterval): yearly, monthly, weekly, daily, hourly
│       │   ├── min_amount (float)
│       │   ├── max_amount (float)
│       │   └── currency (str)
│       └── date_posted (datetime)
│
├── total_results (int)
└── returned_results (int) 

Response Example (GOOGLE SHEETS)

{
    "status": "Successfully uploaded to Google Sheets",
    "error": null,
    "linkedin": null,
    "indeed": null,
    "zip_recruiter": null
}

Response Example (JSON)

{
    "indeed": {
        "success": true,
        "error": null,
        "jobs": [
            {
                "title": "Software Engineer",
                "company_name": "INTEL",
                "job_url": "https://www.indeed.com/jobs/viewjob?jk=a2cfbb98d2002228",
                "location": {
                    "country": "USA",
                    "city": "Austin",
                    "state": "TX",
                },
                "description": "Job Description Designs, develops, tests, and debugs..."
                "job_type": "fulltime",
                "compensation": {
                    "interval": "yearly",
                    "min_amount": 209760.0,
                    "max_amount": 139480.0,
                    "currency": "USD"
                },
                "date_posted": "2023-08-18T00:00:00"
            }, ...
        ],
        "total_results": 845,
        "returned_results": 15
    },
    "linkedin": {
        "success": true,
        "error": null,
        "jobs": [
            {
                "title": "Software Engineer 1",
                "company_name": "Public Partnerships | PPL",
                "job_url": "https://www.linkedin.com/jobs/view/3690013792",
                "location": {
                    "country": "USA",
                    "city": "Austin",
                    "state": "TX",
                },
                "description": "Public Partnerships LLC supports individuals with disabilities..."
                "job_type": null,
                "compensation": null,
                "date_posted": "2023-07-31T00:00:00"
            }, ...
        ],
        "total_results": 2000,
        "returned_results": 15
    }
}

Response Example (CSV)

Site, Title, Company Name, Job URL, Country, City, State, Job Type, Compensation Interval, Min Amount, Max Amount, Currency, Date Posted, Description
indeed, Software Engineer, INTEL, https://www.indeed.com/jobs/viewjob?jk=a2cfbb98d2002228, USA, Austin, TX, fulltime, yearly, 209760.0, 139480.0, USD, 2023-08-18T00:00:00, Job Description Designs...
linkedin, Software Engineer 1, Public Partnerships | PPL, https://www.linkedin.com/jobs/view/3690013792, USA, Austin, TX, , , , , , 2023-07-31T00:00:00, Public Partnerships LLC supports...

Installation

Python version >= 3.10 required

  1. Clone this repository git clone https://github.com/cullenwatson/jobspy
  2. Install the dependencies with pip install -r requirements.txt
  3. Run the server with uvicorn main:app --reload

Usage

Google Sheets Integration (Optional)

Obtaining an Access Key : Video Guide

  • Enable the Google Sheets & Google Drive API
  • Create credentials -> service account -> create & continue
  • Select role -> basic: editor -> done
  • Click on the email you just created in the service account list
  • Go to the Keys tab -> add key -> create new key -> JSON -> Create

Using the key in the repo

  • Copy the key file into the JobSpy repo as /client_secret.json
  • Go to my template sheet & save as a copy into your account
  • Share the sheet with the email from the service account above with editor rights
  • If you changed the name of the sheet, put the name in GSHEET_NAME in /settings.py

How to call the API

Postman (preferred):

To use Postman:

  1. Locate the files in the /postman/ directory.
  2. Import the Postman collection and environment JSON files.

Swagger UI:

Or you can call the API with the interactive documentation at localhost:8000/docs.

FAQ

I'm having issues with my queries. What should I do?

Try reducing the number of results_wanted and/or broadening the filters. If issues still persist, feel free to submit an issue.

I'm getting response code 429. What should I do?

You have been blocked by the job board site for sending too many requests. Wait a couple seconds or use a VPN.

How to enable auth?

Change AUTH_REQUIRED in /settings.py to True

The auth uses supabase. Create a project with a users table and disable RLS.

Add these three environment variables:

  • SUPABASE_URL: go to project settings -> API -> Project URL
  • SUPABASE_KEY: go to project settings -> API -> service_role secret
  • JWT_SECRET_KEY - type openssl rand -hex 32 in terminal to create a 32 byte secret key

Use these endpoints to register and get an access token:

image