Appendix B — The yahooquery Package

B.1 Single Company

from yahooquery import Ticker

ticker = Ticker("NFLX")

Company information:

ticker.summary_profile
{'NFLX': {'address1': '121 Albright Way',
  'city': 'Los Gatos',
  'state': 'CA',
  'zip': '95032',
  'country': 'United States',
  'phone': '(408) 540-3700',
  'website': 'https://www.netflix.com',
  'industry': 'Entertainment',
  'industryKey': 'entertainment',
  'industryDisp': 'Entertainment',
  'sector': 'Communication Services',
  'sectorKey': 'communication-services',
  'sectorDisp': 'Communication Services',
  'longBusinessSummary': 'Netflix, Inc. provides entertainment services. The company offers television (TV) series, documentaries, feature films, and games across various genres and languages. It also provides members the ability to receive streaming content through a host of internet-connected devices, including TVs, digital video players, TV set-top boxes, and mobile devices. The company operates approximately in 190 countries. Netflix, Inc. was incorporated in 1997 and is headquartered in Los Gatos, California.',
  'fullTimeEmployees': 14000,
  'companyOfficers': [],
  'executiveTeam': [],
  'maxAge': 86400}}

Historical prices:

df = ticker.history(start="2024-01-01", end="2024-01-31", adj_ohlc=True)
df.head()
open high low volume close
symbol date
NFLX 2024-01-02 483.190002 484.649994 461.859985 5049400 468.500000
2024-01-03 467.320007 475.049988 465.769989 3443700 470.260010
2024-01-04 472.980011 480.739990 466.529999 3636500 474.670013
2024-01-05 476.500000 479.549988 471.799988 2631300 474.059998
2024-01-08 473.890015 485.239990 473.649994 3675800 485.029999

B.2 Multiple Companies

from yahooquery import Ticker

tickers = Ticker( ["MSFT", "AAPL", "GOOGL"])

Company information:

tickers.summary_profile
{'MSFT': {'address1': 'One Microsoft Way',
  'city': 'Redmond',
  'state': 'WA',
  'zip': '98052-6399',
  'country': 'United States',
  'phone': '425 882 8080',
  'website': 'https://www.microsoft.com',
  'industry': 'Software - Infrastructure',
  'industryKey': 'software-infrastructure',
  'industryDisp': 'Software - Infrastructure',
  'sector': 'Technology',
  'sectorKey': 'technology',
  'sectorDisp': 'Technology',
  'longBusinessSummary': "Microsoft Corporation develops and supports software, services, devices, and solutions worldwide. The company's Productivity and Business Processes segment offers Microsoft 365 Commercial, Enterprise Mobility + Security, Windows Commercial, Power BI, Exchange, SharePoint, Microsoft Teams, Security and Compliance, and Copilot; Microsoft 365 Commercial products, such as Windows Commercial on-premises and Office licensed services; Microsoft 365 Consumer products and cloud services, such as Microsoft 365 Consumer subscriptions, Office licensed on-premises, and other consumer services; LinkedIn; Dynamics products and cloud services, such as Dynamics 365, cloud-based applications, and on-premises ERP and CRM applications. Its Intelligent Cloud segment provides Server products and cloud services, such as Azure and other cloud services, GitHub, Nuance Healthcare, virtual desktop offerings, and other cloud services; Server products, including SQL and Windows Server, Visual Studio and System Center related Client Access Licenses, and other on-premises offerings; Enterprise and partner services, including Enterprise Support and Nuance professional Services, Industry Solutions, Microsoft Partner Network, and Learning Experience. The company's Personal Computing segment provides Windows and Devices, such as Windows OEM licensing and Devices and Surface and PC accessories; Gaming services and solutions, such as Xbox hardware, content, and services, first- and third-party content Xbox Game Pass, subscriptions, and Cloud Gaming, advertising, and other cloud services; search and news advertising services, such as Bing and Copilot, Microsoft News and Edge, and third-party affiliates. It sells its products through OEMs, distributors, and resellers; and online and retail stores. The company was founded in 1975 and is headquartered in Redmond, Washington.",
  'fullTimeEmployees': 228000,
  'companyOfficers': [],
  'irWebsite': 'http://www.microsoft.com/investor/default.aspx',
  'executiveTeam': [],
  'maxAge': 86400},
 'AAPL': {'address1': 'One Apple Park Way',
  'city': 'Cupertino',
  'state': 'CA',
  'zip': '95014',
  'country': 'United States',
  'phone': '(408) 996-1010',
  'website': 'https://www.apple.com',
  'industry': 'Consumer Electronics',
  'industryKey': 'consumer-electronics',
  'industryDisp': 'Consumer Electronics',
  'sector': 'Technology',
  'sectorKey': 'technology',
  'sectorDisp': 'Technology',
  'longBusinessSummary': 'Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; and wearables, home, and accessories comprising AirPods, Apple TV, Apple Watch, Beats products, and HomePod. It also provides AppleCare support and cloud services; and operates various platforms, including the App Store that allow customers to discover and download applications and digital content, such as books, music, video, games, and podcasts, as well as advertising services include third-party licensing arrangements and its own advertising platforms. In addition, the company offers various subscription-based services, such as Apple Arcade, a game subscription service; Apple Fitness+, a personalized fitness service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV+, which offers exclusive original content; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1976 and is headquartered in Cupertino, California.',
  'fullTimeEmployees': 150000,
  'companyOfficers': [],
  'irWebsite': 'http://investor.apple.com/',
  'executiveTeam': [],
  'maxAge': 86400},
 'GOOGL': {'address1': '1600 Amphitheatre Parkway',
  'city': 'Mountain View',
  'state': 'CA',
  'zip': '94043',
  'country': 'United States',
  'phone': '650-253-0000',
  'website': 'https://abc.xyz',
  'industry': 'Internet Content & Information',
  'industryKey': 'internet-content-information',
  'industryDisp': 'Internet Content & Information',
  'sector': 'Communication Services',
  'sectorKey': 'communication-services',
  'sectorDisp': 'Communication Services',
  'longBusinessSummary': 'Alphabet Inc. offers various products and platforms in the United States, Europe, the Middle East, Africa, the Asia-Pacific, Canada, and Latin America. It operates through Google Services, Google Cloud, and Other Bets segments. The Google Services segment provides products and services, including ads, Android, Chrome, devices, Gmail, Google Drive, Google Maps, Google Photos, Google Play, Search, and YouTube. It is also involved in the sale of apps and in-app purchases and digital content in the Google Play and YouTube; and devices, as well as in the provision of YouTube consumer subscription services. The Google Cloud segment offers AI infrastructure, Vertex AI platform, cybersecurity, data and analytics, and other services; Google Workspace that include cloud-based communication and collaboration tools for enterprises, such as Calendar, Gmail, Docs, Drive, and Meet; and other services for enterprise customers. The Other Bets segment sells healthcare-related and internet services. The company was incorporated in 1998 and is headquartered in Mountain View, California.',
  'fullTimeEmployees': 187103,
  'companyOfficers': [],
  'executiveTeam': [],
  'maxAge': 86400}}

Historical prices:

df = tickers.history()
df.head()
open high low close volume adjclose dividends
symbol date
MSFT 2025-01-02 425.529999 426.070007 414.850006 418.579987 16896500 416.292511 0.0
2025-01-03 421.079987 424.029999 419.540009 423.350006 16662900 421.036469 0.0
2025-01-06 428.000000 434.320007 425.480011 427.850006 20573600 425.511871 0.0
2025-01-07 429.000000 430.649994 420.799988 422.369995 18139100 420.061798 0.0
2025-01-08 423.459991 426.970001 421.540009 424.559998 15054600 422.239838 0.0 
df.tail()
open high low close volume adjclose dividends
symbol date
GOOGL 2025-10-02 245.149994 246.809998 242.300003 245.690002 25483300 245.690002 0.0
2025-10-03 244.490005 246.300003 241.660004 245.350006 30249600 245.350006 0.0
2025-10-06 244.779999 251.320007 244.580002 250.429993 28894700 250.429993 0.0
2025-10-07 248.270004 250.440002 245.520004 245.759995 23181300 245.759995 0.0
2025-10-08 16:00:01-04:00 244.949997 246.005005 243.820007 244.619995 21111139 244.619995 0.0

Simplifying the multi-index:

df["symbol"] = df.index.get_level_values(0)
df["date"] = df.index.get_level_values(1)

df.reset_index(drop=True, inplace=True)

df[["date", "symbol", "adjclose"]].head()
date symbol adjclose
0 2025-01-02 MSFT 416.292511
1 2025-01-03 MSFT 421.036469
2 2025-01-06 MSFT 425.511871
3 2025-01-07 MSFT 420.061798
4 2025-01-08 MSFT 422.239838

Optionally converting dates to be datetime-aware:

from pandas import to_datetime

# fix date values (see: https://github.com/dpguthrie/yahooquery/issues/210)
df["date"] = df["date"].astype("str")
df["date"] = df["date"].str.split(" ").str[0]
# convert to datetime-aware values:
df["date"] = to_datetime(df["date"]).dt.date

df[["date", "symbol", "adjclose"]].head()
date symbol adjclose
0 2025-01-02 MSFT 416.292511
1 2025-01-03 MSFT 421.036469
2 2025-01-06 MSFT 425.511871
3 2025-01-07 MSFT 420.061798
4 2025-01-08 MSFT 422.239838

Pivoting the data:

prices_pivot = df.pivot(columns="symbol", values="adjclose", index="date")
prices_pivot.head()
symbol AAPL GOOGL MSFT
date
2025-01-02 242.987427 188.814438 416.292511
2025-01-03 242.499146 191.166748 421.036469
2025-01-06 244.133347 196.230240 425.511871
2025-01-07 241.353226 194.854752 420.061798
2025-01-08 241.841476 193.319733 422.239838