c4baa79181 | ||
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.docker | ||
.github/workflows | ||
.vscode | ||
api | ||
postman | ||
.gitignore | ||
Dockerfile | ||
LICENSE | ||
README.md | ||
main.py | ||
requirements.txt | ||
settings.py |
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
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
Docker Setup
Requires Docker Desktop
JobSpy API Image is continuously updated and available on GitHub Container Registry.
To pull the Docker image:
docker pull ghcr.io/cullenwatson/jobspy:latest
Params
By default:
- Port:
8000
- Google sheet name:
JobSpy
- Relative path of
client_secret.json
(for Google Sheets, see below to obtain)
To run the image with these default settings, use:
Example (Windows):
docker run -v %cd%/client_secret.json:/app/client_secret.json -p 8000:8000 ghcr.io/cullenwatson/jobspy
Example (Unix):
docker run -v $(pwd)/client_secret.json:/app/client_secret.json -p 8000:8000 ghcr.io/cullenwatson/jobspy
Using custom params
Example:
- Port:
8030
- Google sheet name:
CustomName
- Absolute path of
client_secret.json
:C:\config\client_secret.json
To pass these custom params:
docker run -v C:\config\client_secret.json:/app/client_secret.json -e GSHEET_NAME=CustomName -e PORT=8030 -p 8030:8030 ghcr.io/cullenwatson/jobspy
Python installation (alternative to Docker)
Python version >= 3.10 required
- Clone this repository
git clone https://github.com/cullenwatson/jobspy
- Install the dependencies with
pip install -r requirements.txt
- Run the server with
uvicorn main:app --reload
Google Sheets Setup
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: File -> Make a Copy -> Rename to JobSpy
- Share the Google sheet with the email located in the field
client_email
in theclient_secret.json
above with editor rights - If you changed the name of the sheet:
- Python install: add
.env
in the repo and addGSHEET_NAME
param with the sheet name as the value, e.g.GSHEET_NAME=CustomName
- Docker install: use custom param
-e GSHEET_NAME=CustomName
indocker run
(see above)
- Python install: add
How to call the API
Postman (preferred):
To use Postman:
- Locate the files in the
/postman/
directory. - 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 URLSUPABASE_KEY
: go to project settings -> API -> service_role secretJWT_SECRET_KEY
- typeopenssl rand -hex 32
in terminal to create a 32 byte secret key
Use these endpoints to register and get an access token: