Skip to main content

py-fmpapi

PyPI PyPI Downloads python-package.yml codecov.yml License: MIT

Provides a flexible Polars-based interface to the 'Financial Modeling Prep' API. The package supports all available endpoints and parameters, enabling Python users to interact with a wide range of financial data.

[!TIP] This package is developed by Christoph Scheuch and not sponsored by or affiliated with FMP. However, you can get 15% off your FMP subscription by using this affiliate link. By signing up through this link, you also support the development of this package at no extra cost to you.

For an R implementation, please consider the r-fmpapi package.

Installation

You can install the release version from PyPI:

pip install fmpapi

If you want to use the package with pandas, then install via:

pip install fmpapi[pandas]

You can install the development version from GitHub:

pip install "git+https://github.com/tidy-finance/py-fmpapi"

Setup

Before using the package, you need to set your Financial Modeling Prep API key. You can set it using the fmp_set_api_key() function, which saves the key to your .env file for future use (either in your project or home folder).

from fmpapi import fmp_set_api_key

fmp_set_api_key()

Usage

Since the FMP API has a myriad of endpoints and parameters, the package provides a single function to handle requests: fmp_get().

You can retrieve a company’s profile by providing its stock symbol to the profile endpoint:

from fmpapi import fmp_get

fmp_get(resource = "profile", symbol = "AAPL")

To retrieve the balance sheet statements for a company, use the balance-sheet-statement endpoint. You can specify whether to retrieve annual or quarterly data using the period parameter and the number of records via limit. Note that you need a paid account for quarterly data.

fmp_get(resource = "balance-sheet-statement", symbol = "AAPL", params = {"period": "annual", "limit": 5})

The income-statement endpoint allows you to retrieve income statements for a specific stock symbol.

fmp_get(resource = "income-statement", symbol = "AAPL")

You can fetch cash flow statements using the cash-flow-statement endpoint.

fmp_get(resource = "cash-flow-statement", symbol = "AAPL")

Most free endpoints live under API version 3, but you can also control the api version in fmp_get(), which you need for some paid endpoints. For instance, the symbol_change endpoint:

fmp_get(resource = "symbol_change", api_version = "v4")

If you want to get a pandas data frame instead of polars, you can use the to_pandas option (note that pandas and pyarrow must be installed):

fmp_get(resource = "cash-flow-statement", symbol = "AAPL", to_pandas = True)

Relation to Existing Libraries

There is an existing Python module that also provide an interface to the FMP API. However, the module lacks flexibility because it provides dedicated functions for specific endpoints, which means that users need to study both the FMP API docs and the package documentation and developers have to create new functions for each new endpoint.

Contributing

Feel free to open issues or submit pull requests to improve the package. Contributions are welcome!

License

This package is licensed under the MIT License.

Metadata

Release files for fmpapi 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fmpapi 1.0.0
File Size Uploaded
fmpapi-1.0.0.tar.gz 22.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for fmpapi 1.0.0
File Interpreter ABI Platform
fmpapi-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 30.6 kB

Release files / fmpapi-1.0.0.tar.gz

Download URL fmpapi-1.0.0.tar.gz
Size 22.4 kB
Tags Source
SHA-256 checksum
How to use checksums
07e6dd3de593a4c97078fbca9716a92c17980788c7a3f512a62e2b7bc549699b
BLAKE2b-256 checksum
How to use checksums
15d57357e6ddeab60d00ef095d18f1a0e1a88d3440d21af8a4927063fdaabd1d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.10

Release files / fmpapi-1.0.0-py3-none-any.whl

Download URL fmpapi-1.0.0-py3-none-any.whl
Size 8.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
502eeb949b4bc5e602a390ff073145657c1c5d7fb35363daaeed5ca459687c38
BLAKE2b-256 checksum
How to use checksums
c9200d67af90105e0a3f2dea9cd63c7cf39bfaece2ece4d6313ef37d213dcea2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.10

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page