mirror of https://github.com/Bunsly/JobSpy
Update README.md
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README.md
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README.md
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@ -13,8 +13,7 @@
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POST `/api/v1/jobs/`
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### Request Schema
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```plaintex
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```plaintext
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Required
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├── site_type (List[enum]): linkedin, zip_recruiter, indeed
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└── search_term (str)
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├── easy_apply (bool): only for linkedin
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└── output_format (enum): json, csv, gsheet
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```
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### Request Example
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```json
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"site_type": ["indeed", "linkedin"],
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"results_wanted": 15
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"output_format": "gsheet"
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```
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### Response Schema
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```plaintext
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site_type (enum):
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@ -138,106 +135,104 @@ linkedin, Software Engineer 1, Public Partnerships | PPL, https://www.linkedin.c
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```
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## Installation
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## Docker Image (simple)
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### Docker Setup
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_Requires [Docker Desktop](https://www.docker.com/products/docker-desktop/)_
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[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:
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## Usage Docker
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[JobSpy API Image](https://ghcr.io/cullenwatson/jobspy:latest) is continuously updated and available on GitHub Container Registry.
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To pull the Docker image:
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```bash
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docker pull ghcr.io/cullenwatson/jobspy:latest
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```
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### Params
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By default,
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* `client_secret.json` in current directory (if using Google Sheets, see below to obtain)
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* Listens on port `8000`
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* Places the jobs into a sheet that is named JobSpy
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#### Params
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By default:
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* Port: `8000`
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* Google sheet name: `JobSpy`
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* Relative path of `client_secret.json` (for Google Sheets, see below to obtain)
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To run the image with these default settings, use:
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Example (Windows):
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```bash
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docker run -v %cd%/client_secret.json:/app/client_secret.json -p 8000:8000 ghcr.io/cullenwatson/jobspy
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```
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Example (Unix):
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```bash
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docker run -v $(pwd)/client_secret.json:/app/client_secret.json -p 8000:8000 ghcr.io/cullenwatson/jobspy
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```
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#### Using custom params
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### Using custom params
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For example,
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* port `8030`,
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* path `C:\config\client_secret.json`
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* Google sheet name `JobSheet`
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Example:
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* Port `8030`
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* Google sheet named `CustomName`
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* Absolute path of `client_secret.json`: `C:\config\client_secret.json`
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```bash
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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
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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
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```
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### Google Sheets Integration
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### Python installation (alternative to Docker)
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_Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_
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1. Clone this repository `git clone https://github.com/cullenwatson/jobspy`
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2. Install the dependencies with `pip install -r requirements.txt`
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4. Run the server with `uvicorn main:app --reload`
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### Google Sheets Setup
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#### Obtaining an Access Key: [Video Guide](https://youtu.be/w533wJuilao?si=5u3m50pRtdhqkg9Z&t=43)
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* Enable the [Google Sheets & Google Drive API](https://console.cloud.google.com/)
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* Create credentials -> service account -> create & continue
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* Select role -> basic: editor -> done
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* Click on the email you just created in the service account list
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* Go to the Keys tab -> add key -> create new key -> JSON -> Create
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#### Using the key in the repo
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* Copy the key file into the JobSpy repo as `/client_secret.json`
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* Go to [my template sheet](https://docs.google.com/spreadsheets/d/1mOgb-ZGZy_YIhnW9OCqIVvkFwiKFvhMBjNcbakW7BLo/edit?usp=sharing) & save as a copy into your account
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* Share the Google sheet with the email in `client_email` in the `client_secret.json` above with editor rights
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* If you changed the name of the sheet, put the name in `GSHEET_NAME` in `/settings.py`
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* Copy the key file into the JobSpy repo as `client_secret.json`
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* Go to [my template sheet](https://docs.google.com/spreadsheets/d/1mOgb-ZGZy_YIhnW9OCqIVvkFwiKFvhMBjNcbakW7BLo/edit?usp=sharing): File -> Make a Copy -> Rename to JobSpy
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* Share the Google sheet with the email located in the field `client_email` in the `client_secret.json` above with editor rights
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* If you changed the name of the sheet:
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- Python install: add `.env` in the repo and add `GSHEET_NAME` param with the sheet name as the value, e.g. `GSHEET_NAME=CustomName`
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- Docker install: use custom param `-e GSHEET_NAME=CustomName` in `docker run` (see above)
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### How to call the API
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#### [Postman](https://www.postman.com/downloads/) (preferred):
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To use Postman:
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1. Locate the files in the `/postman/` directory.
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2. Import the Postman collection and environment JSON files.
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#### Swagger UI:
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Or you can call the API with the interactive documentation at [localhost:8000/docs](http://localhost:8000/docs).
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## Python installtion (alternative to Docker)
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_Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_
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1. Clone this repository `git clone https://github.com/cullenwatson/jobspy`
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2. Install the dependencies with `pip install -r requirements.txt`
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4. Run the server with `uvicorn main:app --reload`
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## FAQ
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### I'm having issues with my queries. What should I do?
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Try reducing the number of `results_wanted` and/or broadening the filters. If issues still persist, feel free to submit an issue.
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### I'm getting response code 429. What should I do?
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You have been blocked by the job board site for sending too many requests. Wait a couple seconds or use a VPN.
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### How to enable auth?
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Change `AUTH_REQUIRED` in `/settings.py` to `True`
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The auth uses [supabase](https://supabase.com). Create a project with a `users` table and disable RLS.
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<img src="https://github.com/cullenwatson/jobspy/assets/78247585/03af18e1-5386-49ad-a2cf-d34232d9d747" width="500">
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Add these three environment variables:
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- `SUPABASE_URL`: go to project settings -> API -> Project URL
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- `SUPABASE_KEY`: go to project settings -> API -> service_role secret
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- `JWT_SECRET_KEY` - type `openssl rand -hex 32` in terminal to create a 32 byte secret key
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Use these endpoints to register and get an access token:
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![image](https://github.com/cullenwatson/jobspy/assets/78247585/c84c33ec-1fe8-4152-9c8c-6c4334aecfc3)
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