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POST `/api/v1/jobs/`
### Request Schema
```plaintex
```plaintext
Required
├── site_type (List[enum]): linkedin, zip_recruiter, indeed
└── search_term (str)
@ -27,7 +26,6 @@ Optional
├── easy_apply (bool): only for linkedin
└── output_format (enum): json, csv, gsheet
```
### Request Example
```json
"site_type": ["indeed", "linkedin"],
@ -38,7 +36,6 @@ Optional
"results_wanted": 15
"output_format": "gsheet"
```
### Response Schema
```plaintext
site_type (enum):
@ -138,106 +135,104 @@ linkedin, Software Engineer 1, Public Partnerships | PPL, https://www.linkedin.c
```
## Installation
## Docker Image (simple)
### Docker Setup
_Requires [Docker Desktop](https://www.docker.com/products/docker-desktop/)_
[JobSpy API Image](https://ghcr.io/cullenwatson/jobspy:latest) is continuously updated and available on GitHub Container Registry. You can pull and use the image with:
## Usage Docker
[JobSpy API Image](https://ghcr.io/cullenwatson/jobspy:latest) is continuously updated and available on GitHub Container Registry.
To pull the Docker image:
```bash
docker pull ghcr.io/cullenwatson/jobspy:latest
```
### Params
By default,
* `client_secret.json` in current directory (if using Google Sheets, see below to obtain)
* Listens on port `8000`
* Places the jobs into a sheet that is named JobSpy
#### 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):
```bash
docker run -v %cd%/client_secret.json:/app/client_secret.json -p 8000:8000 ghcr.io/cullenwatson/jobspy
```
Example (Unix):
```bash
docker run -v $(pwd)/client_secret.json:/app/client_secret.json -p 8000:8000 ghcr.io/cullenwatson/jobspy
```
#### Using custom params
### Using custom params
For example,
* port `8030`,
* path `C:\config\client_secret.json`
* Google sheet name `JobSheet`
Example:
* Port `8030`
* Google sheet named `CustomName`
* Absolute path of `client_secret.json`: `C:\config\client_secret.json`
```bash
docker run -v C:\config\client_secret.json:/app/client_secret.json -e GSHEET_NAME=JobSheet -e PORT=8030 -p 8030:8030 ghcr.io/cullenwatson/jobspy
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
```
### Google Sheets Integration
### Python installation (alternative to Docker)
_Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_
1. Clone this repository `git clone https://github.com/cullenwatson/jobspy`
2. Install the dependencies with `pip install -r requirements.txt`
4. Run the server with `uvicorn main:app --reload`
### Google Sheets Setup
#### Obtaining an Access Key: [Video Guide](https://youtu.be/w533wJuilao?si=5u3m50pRtdhqkg9Z&t=43)
* Enable the [Google Sheets & Google Drive API](https://console.cloud.google.com/)
* 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](https://docs.google.com/spreadsheets/d/1mOgb-ZGZy_YIhnW9OCqIVvkFwiKFvhMBjNcbakW7BLo/edit?usp=sharing) & save as a copy into your account
* Share the Google sheet with the email in `client_email` in the `client_secret.json` above with editor rights
* If you changed the name of the sheet, put the name in `GSHEET_NAME` in `/settings.py`
* Copy the key file into the JobSpy repo as `client_secret.json`
* Go to [my template sheet](https://docs.google.com/spreadsheets/d/1mOgb-ZGZy_YIhnW9OCqIVvkFwiKFvhMBjNcbakW7BLo/edit?usp=sharing): File -> Make a Copy -> Rename to JobSpy
* Share the Google sheet with the email located in the field `client_email` in the `client_secret.json` above with editor rights
* If you changed the name of the sheet:
- Python install: add `.env` in the repo and add `GSHEET_NAME` param with the sheet name as the value, e.g. `GSHEET_NAME=CustomName`
- Docker install: use custom param `-e GSHEET_NAME=CustomName` in `docker run` (see above)
### How to call the API
#### [Postman](https://www.postman.com/downloads/) (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](http://localhost:8000/docs).
## Python installtion (alternative to Docker)
_Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_
1. Clone this repository `git clone https://github.com/cullenwatson/jobspy`
2. Install the dependencies with `pip install -r requirements.txt`
4. Run the server with `uvicorn main:app --reload`
## 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](https://supabase.com). Create a project with a `users` table and disable RLS.
<img src="https://github.com/cullenwatson/jobspy/assets/78247585/03af18e1-5386-49ad-a2cf-d34232d9d747" width="500">
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](https://github.com/cullenwatson/jobspy/assets/78247585/c84c33ec-1fe8-4152-9c8c-6c4334aecfc3)