Build a Job Aggregator API

Build a REST API with FastAPI and SQLModel to store and serve job listings.

Introduction

30 Second Summary

Every job seeker knows the frustration of hopping between dozens of job boards to find the right listing. A centralized place to search and browse jobs would save hours of time.

In this project, you will build a REST API backend that stores job listings in a database and serves them over HTTP endpoints. By the end, you will have a working proof of concept ready to connect to a mobile app.

What You'll Build

A job aggregator API powered by FastAPI and SQLModel that stores job listings in SQLite and exposes endpoints for creating, listing, and retrieving jobs.

By the end of this project, you'll have:

  • A FastAPI application with endpoints to create, list, and retrieve job listings.
  • A SQLite database with an auto-generated schema from your SQLModel model.
  • Interactive API documentation at /docs for testing your endpoints without any extra tools.
  • Secret Mission: Add a search endpoint that filters jobs by title keyword and location.

Are there any prerequisites?

You should be comfortable with basic Python concepts like variables, functions, and classes. No prior experience with web frameworks or databases is required.

Set Up Your Python Environment

Before you can build your job aggregator API, you need a working Python environment with the right packages installed.

In this step, you will install Python, create an isolated project folder, and install FastAPI and SQLModel so everything is ready for development.

In this step, get ready to:
  • Install Python 3.10+ and verify it.
  • Create a virtual environment and install project dependencies.
  • Verify that FastAPI and SQLModel are ready to use.
Install Python and create a project directory

Python is the programming language that powers both FastAPI and SQLModel. You need version 3.10 or higher installed on your machine.

  • Open your terminal. Press Cmd+Space (macOS) or the Windows key (Windows) to open your search bar.
  • Type Terminal (macOS) or PowerShell (Windows) and press Enter to open it.
  • Check your Python version by running this command:

macOS

python3 --version

Windows

python --version

You should see a version number printed in your terminal. Check which scenario matches yours below.

✔️ I see version 3.10 or higher

Python is ready to go. Move on to creating your project directory below.

ⓧ I see an older version

Your system has an older Python that will not work with FastAPI or SQLModel. You need to install a newer version.

  • Visit python.org/downloads and download the latest Python 3 installer for your operating system.
  • Run the installer. On Windows, make sure to check Add Python to PATH before clicking Install.
  • After installation, close and reopen your terminal, then run the version check again.

macOS version shadowing

On macOS, the system may still resolve python3 to the old version even after you install a newer one. If this happens, try running python3.13 --version (replacing 3.13 with the version you installed) to confirm it is available.

You can then use that specific binary throughout this project.

ⓧ Command not found

Python is not installed on your machine yet. Follow these steps to install it.

  • Visit python.org/downloads and download the latest Python 3 installer for your operating system.
  • On macOS, double-click the .pkg file and follow the installer prompts.
  • On Windows, run the installer and check Add Python to PATH before clicking Install Now.
  • Close and reopen your terminal after installation, then run the version check again to confirm.
  • Move to your Desktop by running this command:
cd ~/Desktop
  • Create your project folder and move into it by running these commands:
mkdir job-aggregator-api
cd job-aggregator-api
  • Confirm you are inside the new folder by running:
pwd

You should see a path ending in job-aggregator-api. This confirms you are in the right place.

Getting a "No such file or directory" error?

Make sure you ran cd ~/Desktop first. If your Desktop path is different (some Windows setups use OneDrive), try cd ~/OneDrive/Desktop instead.

Help me figure out the correct path for my system.

Create a virtual environment and install dependencies

A virtual environment is an isolated space where Python packages are installed for just this project. It prevents conflicts with other Python projects on your machine.

  • Create a virtual environment by running this command:
python3 -m venv .venv

What is a virtual environment?

Think of it as a sealed container for your project's packages. When you install FastAPI inside this environment, it stays here and does not affect any other Python projects on your computer.

The .venv folder holds the isolated Python interpreter and all packages you install.

  • Activate the virtual environment by running the command for your operating system:

macOS

source .venv/bin/activate

Windows

.venv\Scripts\activate

You should see (.venv) appear at the beginning of your terminal prompt. This confirms the virtual environment is active.

Windows saying "running scripts is disabled"?

PowerShell may block script execution by default. Run this command first, then try the activation again:

Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned

Help me fix this.

  • Install FastAPI and SQLModel by running this command:
pip install "fastapi[standard]" sqlmodel

What does this install?

This single command installs both packages and their dependencies. fastapi[standard] includes the FastAPI framework plus Uvicorn (the server that runs your API) and other useful extras.

SQLModel installs SQLAlchemy (the database engine) and Pydantic (data validation) automatically, so you do not need to install them separately.

The installation will take a moment. You should see several lines of output as pip downloads and installs the packages.

Seeing a permissions error or "pip not found"?

Make sure your virtual environment is active. You should see (.venv) at the start of your terminal prompt. If it is missing, re-run the activation command from the platform tabs above.

Help me troubleshoot this.

Verify your installation

A quick import test confirms that both packages installed correctly and are ready to use.

  • Verify the installation by running this command:
python3 -c "import fastapi; import sqlmodel; print('Ready!')"

You should see Ready! printed in your terminal. This confirms both FastAPI and SQLModel are installed and importable.

Seeing a ModuleNotFoundError?

This means the packages did not install into the active environment. Check that (.venv) appears in your prompt. If it does not, activate your virtual environment again and re-run the pip install command.

On Windows, use python instead of python3 in the command above.

Help me fix my installation.

Your Python environment is fully set up. Next up, you will define the Job database model that stores your job listing data.

Define the Job Listing Database Model

Your Python environment is ready and your dependencies are installed. Now you need a way to represent job listings as structured data that can live in a database.

In this step, you will define a data model using SQLModel. SQLModel lets you write a single Python class that acts as both a database table definition and a data validation schema. This means one class handles everything from storing data in SQLite to validating incoming API requests.

In this step, get ready to:
  • Define a Job model with fields for title, company, location, description, salary, and date.
  • Set up a SQLite database engine to store job data.
  • Create a reusable database session dependency for your API endpoints.
Create the Job model

Every job listing in your aggregator needs the same structure: a title, a company name, a location, and so on. The Job class you are about to write defines that structure as both a Python class and a database table at the same time.

  • Create a new file called main.py in your project folder (the folder you created in the previous step).
  • Add the following imports and model definition to main.py:
from datetime import date
from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, col, create_engine, select


# Define the Job table — each field becomes a database column
class Job(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    title: str = Field(index=True)
    company: str = Field(index=True)
    location: str = Field(index=True)
    description: str
    salary: str | None = Field(default=None)
    posted_date: date = Field(default_factory=date.today)

What does this code do?

The Job class inherits from SQLModel with table=True, which tells SQLModel to treat it as a real database table (not just a data schema).

  • id is the primary key. Setting it to None by default lets the database auto-generate it.
  • title, company, and location have index=True so the database can search them quickly.
  • salary is optional (str | None) because not every job listing includes salary info.
  • posted_date defaults to today's date using default_factory=date.today.
  • Save main.py.

You won't see a change yet. The next chunk uses this model to connect to an actual database.

Why one class for everything?

Without SQLModel, you would typically write a separate SQLAlchemy model for the database and a separate Pydantic schema for validation. SQLModel combines both into one class, so there is no boilerplate duplication.

Set up the SQLite database engine

The Job model describes the structure of your data, but you still need to tell Python where to store it. The engine is the connection between your code and the actual database file on disk.

  • In main.py, add the following code below the Job class:
# Configure the SQLite database connection
sqlite_file_name = "jobs.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)

What does this code do?

  • sqlite_url tells SQLModel to create a file called jobs.db in your project folder. No server installation required.
  • check_same_thread: False is required because FastAPI handles requests across multiple threads. SQLite normally restricts access to the thread that created the connection, but this setting relaxes that constraint safely.
  • create_engine() builds the engine object that manages database connections. It does not create the database file yet.
  • Save main.py.

You won't see a change yet. The next chunk adds the functions that actually create the tables and manage sessions.

Create the table creation function and session dependency

Your endpoints will need a way to talk to the database on every request. Instead of creating a new connection manually each time, you will define a reusable session dependency that FastAPI injects automatically.

  • In main.py, add the following code below the engine line:
# Create tables in the database when called
def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


# Provide a fresh database session for each request
def get_session():
    with Session(engine) as session:
        yield session


# Type alias so endpoints can declare their session dependency cleanly
SessionDep = Annotated[Session, Depends(get_session)]

What does this code do?

  • create_db_and_tables() reads all your SQLModel classes (like Job) and creates matching tables in the database file.
  • get_session() uses yield to open a database session, hand it to the endpoint, and then close it automatically when the request finishes.
  • SessionDep is a type alias that combines the session type with Depends(). When an endpoint declares a parameter with this type, FastAPI automatically calls get_session() and passes the result in.
  • Save main.py.
  • Verify everything imports correctly by running this command in your terminal:
python3 -c "from main import Job, get_session, create_db_and_tables; print('Model ready!')"

You should see Model ready! printed in your terminal.

Seeing an import error?

  • Make sure your virtual environment is still active. You should see the environment name in parentheses in your terminal prompt.
  • Check that you are running the command from the same folder where main.py lives. Run ls to confirm main.py appears in the output.
  • Look for typos in your import lines. The class name Job and function names get_session and create_db_and_tables are case-sensitive.

Why is my import failing?

✔️ Awesome, I've got everything!

Great. Double check you have saved main.py with all three sections (imports + model, engine setup, and session dependency).

ⓧ I'd like to double check the full code

Here is the complete main.py at the end of this step:

from datetime import date
from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, col, create_engine, select


class Job(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    title: str = Field(index=True)
    company: str = Field(index=True)
    location: str = Field(index=True)
    description: str
    salary: str | None = Field(default=None)
    posted_date: date = Field(default_factory=date.today)


sqlite_file_name = "jobs.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


def get_session():
    with Session(engine) as session:
        yield session


SessionDep = Annotated[Session, Depends(get_session)]

Your data model and database plumbing are in place. Next up, you will build the actual API endpoints that let you create, list, and retrieve job listings.

Build the API Endpoints

Your database model and session dependency are in place. Now it's time to build the actual API layer that clients (like your Flutter app) will talk to.

An API endpoint is a specific URL path that accepts requests and returns responses. In this step, you'll create the FastAPI app instance, seed it with sample data on startup, and define three endpoints for creating, listing, and retrieving job postings.

In this step, get ready to:
  • Create the FastAPI app and seed it with a sample job listing on startup.
  • Build endpoints to create and list jobs.
  • Build an endpoint to retrieve a single job by ID with error handling.
Create the FastAPI app and seed data function

Every FastAPI project needs an app instance. You'll also write a function that inserts a sample job listing into the database so you have data to test with immediately.

  • In main.py, find the last line (SessionDep = Annotated[Session, Depends(get_session)]) and add the following code below it:
app = FastAPI(title="Job Aggregator API")


def seed_data(session: Session):
    # Check if any jobs already exist to avoid duplicating seed data
    existing = session.exec(select(Job)).first()
    if existing:
        return
    # Create a hardcoded job listing as sample data
    job = Job(
        title="Senior Python Developer",
        company="TechCorp",
        location="Sydney, Australia",
        description="We are looking for an experienced Python developer to join our backend team. You will build and maintain RESTful APIs using FastAPI and manage PostgreSQL databases.",
        salary="$120,000 - $150,000",
        posted_date=date(2026, 6, 1),
    )
    session.add(job)
    session.commit()

What does this code do?

app = FastAPI(title="Job Aggregator API") creates the core application object that all your endpoints attach to. The title shows up in the auto-generated documentation.

The seed_data() function checks if any jobs already exist in the database. If not, it inserts a sample job listing so you have data to test with right away.

You won't see a change yet. The next chunk wires this seed function into the app's startup event.

Wire up the startup event

FastAPI supports lifecycle events that run code when the server starts. You'll use the startup event to create database tables and insert the seed data.

  • Directly below the seed_data function you just added, paste this code:
@app.on_event("startup")
def on_startup():
    # Create all database tables defined by SQLModel
    create_db_and_tables()
    # Seed the database with sample data
    with Session(engine) as session:
        seed_data(session)

What does this code do?

The @app.on_event("startup") decorator registers a function that runs once when the server boots up.

Inside it, create_db_and_tables() ensures the jobs.db file and its job table exist. Then seed_data() inserts the sample listing if the table is empty.

  • Save main.py.
  • Verify the app loads without errors by running this command in your terminal:
python3 -c "from main import app; print(app.title)"

You should see Job Aggregator API printed with no errors.

Seeing an error instead?

  • Make sure you saved main.py before running the command.
  • Check that the app = FastAPI(...) line is at the module level (not indented inside another function).
  • Confirm your virtual environment is still active. You should see the environment name in your terminal prompt.

help me debug why importing my FastAPI app fails

Build the create and list endpoints

CRUD stands for Create, Read, Update, Delete. You'll start with Create (POST) and Read-all (GET) to let clients add new jobs and retrieve the full list.

  • In main.py, add the following code below the on_startup function:
@app.post("/jobs/", response_model=Job)
def create_job(job: Job, session: SessionDep) -> Job:
    # Add the new job to the database and return it
    session.add(job)
    session.commit()
    session.refresh(job)
    return job

What does this code do?

The @app.post("/jobs/") decorator registers this function to handle POST requests at the /jobs/ path.

FastAPI automatically deserializes the request body into a Job object. The function adds it to the database, commits the transaction, then refreshes it to load the auto-generated id before returning.

You won't see a change yet. The endpoint is only reachable when the server is running, which you'll do in Step 4.

  • Directly below the create_job function, add the list endpoint:
@app.get("/jobs/", response_model=list[Job])
def list_jobs(
    session: SessionDep,
    offset: int = 0,
    limit: Annotated[int, Query(le=100)] = 20,
) -> list[Job]:
    # Fetch jobs from the database with pagination
    jobs = session.exec(select(Job).offset(offset).limit(limit)).all()
    return jobs

What does this code do?

This endpoint handles GET requests at /jobs/ and returns a list of all jobs in the database.

The offset and limit parameters add pagination so clients can request jobs in chunks. The Query(le=100) constraint prevents anyone from requesting more than 100 jobs at once.

You won't see a change yet. You'll test both endpoints through Swagger UI in Step 4.

Build the get-single-job endpoint

Clients need a way to fetch details for one specific job. This endpoint accepts a job ID in the URL path and returns either the matching job or a 404 error.

  • Below the list_jobs function, add the final endpoint:
@app.get("/jobs/{job_id}", response_model=Job)
def get_job(job_id: int, session: SessionDep) -> Job:
    # Look up the job by its primary key
    job = session.get(Job, job_id)
    if not job:
        raise HTTPException(status_code=404, detail="Job not found")
    return job

What does this code do?

session.get(Job, job_id) looks up a job by its primary key. If no matching job exists, it returns None.

The if not job: check catches that case and raises an HTTPException with a 404 status code. This tells the client the resource doesn't exist instead of crashing the server.

  • Save main.py.
  • Confirm everything still imports cleanly by running:
python3 -c "from main import app; print(app.title)"

You should see Job Aggregator API printed again with no errors. This confirms your entire file has valid syntax.

Seeing a syntax or import error?

  • Check for missing colons at the end of def lines and decorator lines.
  • Make sure each endpoint function is at the module level (not indented inside another function).
  • Verify your parentheses and brackets are balanced. A missing ) in the list_jobs signature is a common typo.

help me find the syntax error in my FastAPI endpoints

✔️ Awesome, I've got everything!

Great. Double check you've saved main.py and move on.

ⓧ I'd like to double check the full code

from datetime import date
from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, col, create_engine, select


class Job(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    title: str = Field(index=True)
    company: str = Field(index=True)
    location: str = Field(index=True)
    description: str
    salary: str | None = Field(default=None)
    posted_date: date = Field(default_factory=date.today)


sqlite_file_name = "jobs.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


def get_session():
    with Session(engine) as session:
        yield session


SessionDep = Annotated[Session, Depends(get_session)]

app = FastAPI(title="Job Aggregator API")


def seed_data(session: Session):
    existing = session.exec(select(Job)).first()
    if existing:
        return
    job = Job(
        title="Senior Python Developer",
        company="TechCorp",
        location="Sydney, Australia",
        description="We are looking for an experienced Python developer to join our backend team. You will build and maintain RESTful APIs using FastAPI and manage PostgreSQL databases.",
        salary="$120,000 - $150,000",
        posted_date=date(2026, 6, 1),
    )
    session.add(job)
    session.commit()


@app.on_event("startup")
def on_startup():
    create_db_and_tables()
    with Session(engine) as session:
        seed_data(session)


@app.post("/jobs/", response_model=Job)
def create_job(job: Job, session: SessionDep) -> Job:
    session.add(job)
    session.commit()
    session.refresh(job)
    return job


@app.get("/jobs/", response_model=list[Job])
def list_jobs(
    session: SessionDep,
    offset: int = 0,
    limit: Annotated[int, Query(le=100)] = 20,
) -> list[Job]:
    jobs = session.exec(select(Job).offset(offset).limit(limit)).all()
    return jobs


@app.get("/jobs/{job_id}", response_model=Job)
def get_job(job_id: int, session: SessionDep) -> Job:
    job = session.get(Job, job_id)
    if not job:
        raise HTTPException(status_code=404, detail="Job not found")
    return job

Your API is fully defined. Next up, you'll start the development server and test every endpoint through FastAPI's interactive documentation.

Run and Test Your API

In the previous step, you built out all three API endpoints. Your code is complete and ready to serve requests.

Now it is time to see the whole thing in action. You will start the development server, watch the database get created automatically, and test every endpoint through FastAPI's built-in interactive documentation.

In this step, get ready to:
  • Start the FastAPI development server and confirm it is running.
  • Verify the seeded job listing and create a new job through the Swagger UI.
  • Test the single-job endpoint and confirm proper error handling.
Start the development server

The fastapi dev command starts a local development server with auto-reload enabled. It also creates the jobs.db file automatically when the app boots up for the first time.

  • Start the FastAPI development server by running this command:
fastapi dev main.py

You should see output that includes this line:

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

What does this command do?

The fastapi dev command detects the FastAPI app in main.py and starts Uvicorn (a lightning-fast ASGI server) with hot-reload. Every time you save main.py, the server restarts automatically.

On startup, your on_startup() function runs. It creates the job table in a new jobs.db file and seeds it with the Senior Python Developer listing.

  • Confirm the database file was created by opening a new terminal tab and running:
ls jobs.db

You should see jobs.db listed in the output.

  • Open your browser and navigate to http://127.0.0.1:8000/docs to open the Swagger UI.

You should see an interactive documentation page titled Job Aggregator API with three endpoints listed: POST /jobs/, GET /jobs/, and GET /jobs/{job_id}.

Don't see the docs page?

  • Make sure the server is still running in your other terminal tab. Look for the Uvicorn running on message.
  • Check the URL is exactly http://127.0.0.1:8000/docs with no trailing spaces or extra characters.
  • If the terminal shows an error on startup, check main.py for any typos. The error message will point to the line number.
  • Help me troubleshoot my FastAPI dev server
Test the GET /jobs/ and POST /jobs/ endpoints

The Swagger UI lets you send real HTTP requests to your API directly from the browser. You will verify that the seed data loaded correctly, then create a brand new job listing.

  • Click on the GET /jobs/ row to expand it.
  • Click the Try it out button on the right.
  • Click Execute.

In the response body, you should see a JSON array containing one job listing with "title": "Senior Python Developer" and "company": "TechCorp".

What is the Swagger UI?

FastAPI auto-generates interactive API documentation from your code. The /docs page uses Swagger UI to let you test every endpoint without needing a separate tool like Postman or curl.

Click Try it out to enable the input fields, fill in any parameters, then click Execute to fire a real request at your running server.

  • Now click on the POST /jobs/ row to expand it.
  • Click Try it out.
  • Replace the example JSON in the request body with the following:
{
  "title": "Flutter Mobile Developer",
  "company": "AppWorks",
  "location": "Melbourne, Australia",
  "description": "Join our team building cross-platform mobile apps with Flutter and Dart.",
  "salary": "$100,000 - $130,000",
  "posted_date": "2026-06-08"
}
  • Click Execute.

You should see a 200 response with the new job listed in the response body. Notice it now has an id of 2 (the database assigned it automatically).

Seeing a 422 validation error?

  • Make sure the JSON in the request body is valid. Check for missing commas, unclosed quotes, or trailing commas after the last field.
  • The title, company, location, and description fields are required. The salary and posted_date fields are optional.
  • Help me fix a 422 validation error in my FastAPI POST request
Test the GET /jobs/{job_id} endpoint and confirm 404 handling

Your final endpoint retrieves a single job by its ID. You will also verify that requesting a non-existent job returns a proper 404 error instead of crashing.

  • Click on the GET /jobs/{job_id} row to expand it.
  • Click Try it out.
  • Enter 1 in the job_id field.
  • Click Execute.

You should see a 200 response containing the Senior Python Developer job listing.

  • Now change the job_id value to 999.
  • Click Execute again.

You should see a 404 response with "detail": "Job not found" in the body.

Why does proper error handling matter?

When your Flutter app requests a job that does not exist, it needs a clear signal to show the user a friendly error message. A 404 status code with a JSON body is much better than a server crash that returns 500.

The HTTPException you added in Step 3 handles this gracefully. Your frontend can check the status code and respond accordingly.

Getting a 422 instead of a 404?

  • Make sure you enter a plain integer (999) in the job_id field. Entering text like abc triggers a 422 because FastAPI expects an integer.
  • Help me understand the difference between 404 and 422 responses in my API

Secret mission

Add a Search Endpoint

Your API can list all jobs, but real users need to find specific ones. Add a search endpoint that filters jobs by title keyword and location, so your Flutter app can power a search bar.

Clean Up Your Resources

Clean Up Your Resources

This project runs entirely locally, so there are no ongoing costs. Decide whether to keep your resources running, pause them to come back later, or delete them entirely.

Resources you used:

  • FastAPI development server (running process in your terminal).
  • Project folder containing main.py, jobs.db, and your virtual environment.

Keep everything running

No action needed. Choose this if you are still actively building on your job aggregator API or plan to connect it to a Flutter frontend.

  • Your FastAPI server continues running until you close the terminal or press Ctrl+C.
  • Your jobs.db database file persists in your project folder with all job listings intact.
  • Your virtual environment stays on disk inside the project folder.

Pause - I'll come back to this later

Shut down the running server to free up your terminal. Your files stay on disk so you can pick up where you left off.

  • In the terminal where FastAPI is running, press Ctrl+C to stop the development server.
  • Deactivate your virtual environment by running:
deactivate

When you come back, navigate to your project folder, reactivate the virtual environment, and run fastapi dev main.py to start up again.

Delete - I don't want to use this again

Remove all project files and start fresh. This deletes your code, database, and virtual environment permanently.

  • In the terminal where FastAPI is running, press Ctrl+C to stop the development server.
  • Deactivate your virtual environment by running:
deactivate
  • Navigate to your Desktop and delete the project folder by running:
cd ~/Desktop
rm -rf [[PROJECT_FOLDER="your project folder name"]]

On Windows, use this command instead:

cd ~\Desktop
Remove-Item -Recurse -Force [[PROJECT_FOLDER="your project folder name"]]

This removes main.py, jobs.db, the virtual environment, and all installed packages in one step.

Nice Work!

Nice Work!

You just built a fully functional REST API backend that stores and serves job listings from a database. Your job aggregator is ready to power a mobile app.

You've learned how to:

  • Build a REST API with FastAPI that serves job listing data from a SQLite database.
  • Define a database model with SQLModel that doubles as both the database schema and the API validation layer.
  • Create CRUD endpoints (Create, Read, List) with proper error handling and test them through auto-generated Swagger UI documentation.
  • Added a search endpoint with case-insensitive keyword filtering by title and location.

Ready to quiz yourself?