cuery.actors.utils

Attributes

ActorClass
FlexToolClass
DEFAULT_FLEX_CONFIG

Functions

fetch_apify_dataset(source, id[, force_cloud])	Fetch a dataset from Apify and return it as a DataFrame.
fetch_parquet_dataset(url[, columns])	Fetch a Parquet dataset from a URL and return it as a DataFrame.
run_flex_tool(Actor, Tool, **kwargs)	Run a flex tool with the given arguments.

Module Contents

cuery.actors.utils.ActorClass

cuery.actors.utils.FlexToolClass

cuery.actors.utils.DEFAULT_FLEX_CONFIG

async cuery.actors.utils.fetch_apify_dataset(source, id, force_cloud=True)

Fetch a dataset from Apify and return it as a DataFrame.

Parameters:

• source (ActorClass | apify_client.ApifyClientAsync)

• id (str)

• force_cloud (bool)

Return type:

pandas.DataFrame

cuery.actors.utils.fetch_parquet_dataset(url, columns=None)

Fetch a Parquet dataset from a URL and return it as a DataFrame.

Since we can’t validate column names before fetching, we try to read the dataset with and without specifying them.

Parameters:

• url (str)

• columns (list[str] | None)

Return type:

pandas.DataFrame

async cuery.actors.utils.run_flex_tool(Actor, Tool, **kwargs)

Run a flex tool with the given arguments.

Parameters:

• Actor (ActorClass)

• Tool (FlexToolClass)