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Async wrapper for Bloomberg Open API

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The goal of async_blp is to create simple and fast Bloomberg Open API wrapper that can be used in highload environments. It allows asynchronous processing of hundreds of Bloomberg request simultaneously. Currently async_blp provides support for reference and historical data, instruments lookup and field search, as well as subscriptions. More request types will be added in the future.


  • Fast. Using asyncio allows to process Bloomberg requests simultaneously while creating little overhead
  • Simple. async_blp takes care of creating and managing Bloomberg sessions as well as of parsing responses
  • User-friendly output. Data is returned as a pandas.DataFrame object
  • Error handling. Security and field errors are returned in a separate object that can be easily inspected


You can install async_blp from PyPI using

pip install async_blp




Before using async_blp, install blpapi from the link above and login in the Bloomberg Terminal.

import async_blp

async def blp_example(loop):
    bloomberg = async_blp.AsyncBloomberg(loop=loop)

    data, _ = await bloomberg.get_reference_data(['F US Equity'], ['LAST_PRICE'])

    # it is important to wait until Bloomberg successfully closes all the sessions
    await bloomberg.stop()

    return data

More examples can be found here:

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