Yahoo Finance connector

Set up the Yahoo Finance connector in Kaivo: authentication, configuration, the 1 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 16 days ago

Kaivo is a fully managed data platform that syncs your Yahoo Finance data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your payment and finance data instead of moving it.

What is the Yahoo Finance connector

Sync your Yahoo Finance price data into BigQuery with Kaivo to track stock prices and build historical price datasets.

Category	Finance & Payments
Authentication	Other
Setup	Self-service

Getting started with the Yahoo Finance connector

Sign up for Kaivo and create a workspace.
Connect your Yahoo Finance account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Yahoo Finance

Follow the steps below to connect your Yahoo Finance account.

Configuring the Yahoo Finance connector

When you set up the connector, you provide:

Field	Description
Tickers	Comma-separated identifiers for the stocks to be queried. Whitespaces are allowed.
Interval	The time interval between price data points.
Range	The range of prices to be queried.

Tables and columns synced from Yahoo Finance

Kaivo syncs 1 table from Yahoo Finance into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

price (2 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresult

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`meta__chart_previous_close`	`FLOAT64`	Closing price of the stock from the previous trading day.
`meta__currency`	`STRING`	Currency in which the prices are denoted.
`meta__current_trading_period__post__end`	`FLOAT64`	End time of the post-market trading session.
`meta__current_trading_period__post__gmtoffset`	`FLOAT64`	GMT offset for post-trading period.
`meta__current_trading_period__post__start`	`FLOAT64`	Start time of the post-market trading session.
`meta__current_trading_period__post__timezone`	`STRING`	Timezone in which the post-market trading session occurs.
`meta__current_trading_period__pre__end`	`FLOAT64`	End time of the pre-market trading session.
`meta__current_trading_period__pre__gmtoffset`	`FLOAT64`	GMT offset for pre-trading period.
`meta__current_trading_period__pre__start`	`FLOAT64`	Start time of the pre-market trading session.
`meta__current_trading_period__pre__timezone`	`STRING`	Timezone in which the pre-market trading session occurs.
`meta__current_trading_period__regular__end`	`FLOAT64`	End time of the regular trading session.
`meta__current_trading_period__regular__gmtoffset`	`FLOAT64`	GMT offset for regular trading period.
`meta__current_trading_period__regular__start`	`FLOAT64`	Start time of the regular trading session.
`meta__current_trading_period__regular__timezone`	`STRING`	Timezone in which the regular trading session occurs.
`meta__data_granularity`	`STRING`	Granularity of the data intervals, like 1m, 1h, 1d, etc.
`meta__exchange_name`	`STRING`	Name of the stock exchange where the stock is traded.
`meta__exchange_timezone_name`	`STRING`	Timezone of the stock exchange.
`meta__first_trade_date`	`FLOAT64`	Date of the stock's first trade on the exchange.
`meta__gmtoffset`	`FLOAT64`	GMT Offset for the trading data.
`meta__instrument_type`	`STRING`	Type of instrument, such as stock, ETF, etc.
`meta__previous_close`	`FLOAT64`	Closing price of the stock from the previous trading day.
`meta__price_hint`	`FLOAT64`	Decimal precision for the price data.
`meta__range`	`STRING`	Price range for the stock during a specific time period.
`meta__regular_market_price`	`FLOAT64`	Price of the stock in the regular market session.
`meta__regular_market_time`	`FLOAT64`	Time of the last price update in the regular market session.
`meta__scale`	`FLOAT64`	Numerical scale factor used to adjust prices.
`meta__symbol`	`STRING`	Symbol or ticker of the stock.
`meta__timezone`	`STRING`	Timezone where the trading data is provided.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultindicatorsquote

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultindicatorsquote__close

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`	Closing price of the stock for a specific time period.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultindicatorsquote__high

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`	Highest price the stock reached during a specific time period.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultindicatorsquote__low

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`	Lowest price the stock reached during a specific time period.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultindicatorsquote__open

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`	Opening price of the stock for a specific time period.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultindicatorsquote__volume

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`	Total trading volume of the stock for a specific time period.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultmetatrading_periods

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultmetatrading_periods__list

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`end`	`FLOAT64`	End time of a specific trading period.
`gmtoffset`	`FLOAT64`	The GMT offset for the trading period.
`start`	`FLOAT64`	Start time of a specific trading period.
`timezone`	`STRING`	Timezone in which the trading period occurs.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresultmetavalid_ranges

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`STRING`	Ranges of valid trading data.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: pricechartresult__timestamp

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`	Timestamp of the price data.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Yahoo Finance sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Yahoo Finance supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Yahoo Finance?

It depends on how much history is in your Yahoo Finance account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Yahoo Finance's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Yahoo Finance, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Yahoo Finance instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Yahoo Finance connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Yahoo Finance data

Price history

Use the price chart data to track open, high, low, and close prices over time.

Portfolio tracking

Join price history to your holdings to value positions over time.

Performance analysis

Compare prices across symbols to study relative performance.

Market context

Bring price data into BigQuery alongside your other data for combined analysis.

Use Yahoo Finance data in your AI and BI tools

Once Yahoo Finance data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Yahoo Finance data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Yahoo Finance connector pricing and plan details.

Chargebee: Sync Chargebee to BigQuery.
ChartMogul: Sync ChartMogul to BigQuery.
Fennoa: Sync Fennoa to BigQuery.
Fortnox: Sync Fortnox to BigQuery.
FreshBooks: Sync FreshBooks to BigQuery.
PayPal Enterprise Payments: Sync PayPal Enterprise Payments to BigQuery.

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