INNER CODE UNIT · Python

df

lefterisloukas/edgar-crawler · download_filings.py:455

            df = df[(df.CIK.isin(ciks))]

        # Add the filtered dataframe to the list
        dfs_list.append(df)

    # Return the concatenated dataframe if there are multiple dataframes in the list, else return the single dataframe
    return pd.concat(dfs_list) if (len(dfs_list) > 1) else dfs_list[0]


def crawl(
    filing_types: List[str], series: pd.Series, raw_filings_folder: str, user_agent: str
) -> pd.Series:
    """
    Crawls the EDGAR HTML indexes and extracts required details.

    Such details include the Filing Date, the Period of Report, the State location, the Fiscal Year End, and many more.

    Args:

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