Reddit connector

Set up the Reddit connector in Kaivo: authentication, configuration, the 6 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 Reddit 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 marketing and sales data instead of moving it.

What is the Reddit connector

Sync your Reddit data into BigQuery with Kaivo to monitor mentions and subreddit activity relevant to your brand.

Category	Marketing & Sales
Authentication	API key
Setup	Self-service

Getting started with the Reddit connector

Sign up for Kaivo and create a workspace.
Connect your Reddit 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 Reddit

Authenticate with your API Key.

Field	Description
API Key

Configuring the Reddit connector

When you set up the connector, you provide:

Field	Description
Query	Search query for posts and subreddits.
Include over 18 flag	Include NSFW (over 18) content in results.
Exact	Match the search query exactly, reducing unrelated results.
Subreddits	List of subreddits to explore.
Start Date	Any data before this date will not be fetched.

Tables and columns synced from Reddit

Kaivo syncs 6 tables from Reddit into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

message_inbox (4 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`dist`	`FLOAT64`
`geo_filter`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

message_inbox__children (4 columns)

search (1012 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`data__allow_live_comments`	`BOOL`
`data__archived`	`BOOL`
`data__author`	`STRING`
`data__author_cakeday`	`BOOL`
`data__author_flair_background_color`	`STRING`
`data__author_flair_css_class`	`STRING`
`data__author_flair_template_id`	`STRING`
`data__author_flair_text`	`STRING`
`data__author_flair_text_color`	`STRING`
`data__author_flair_type`	`STRING`
`data__author_fullname`	`STRING`
`data__author_is_blocked`	`BOOL`
`data__author_patreon_flair`	`BOOL`
`data__author_premium`	`BOOL`
`data__can_gild`	`BOOL`
`data__can_mod_post`	`BOOL`
`data__clicked`	`BOOL`
`data__contest_mode`	`BOOL`
`data__created`	`FLOAT64`
`data__created_utc`	`FLOAT64`
`data__crosspost_parent`	`STRING`
`data__domain`	`STRING`
`data__downs`	`FLOAT64`
`data__edited`	`FLOAT64`
`data__gilded`	`FLOAT64`
`data__hidden`	`BOOL`
`data__hide_score`	`BOOL`
`data__id`	`STRING`
`data__is_created_from_ads_ui`	`BOOL`
`data__is_crosspostable`	`BOOL`
`data__is_gallery`	`BOOL`
`data__is_meta`	`BOOL`
`data__is_original_content`	`BOOL`
`data__is_reddit_media_domain`	`BOOL`
`data__is_robot_indexable`	`BOOL`
`data__is_self`	`BOOL`
`data__is_video`	`BOOL`
`data__link_flair_background_color`	`STRING`
`data__link_flair_css_class`	`STRING`
`data__link_flair_template_id`	`STRING`
`data__link_flair_text`	`STRING`
`data__link_flair_text_color`	`STRING`
`data__link_flair_type`	`STRING`
`data__locked`	`BOOL`
`data__media__type`	`STRING`
`data__media__oembed__version`	`STRING`
`data__media__oembed__type`	`STRING`
`data__media__oembed__author_name`	`STRING`
`data__media__oembed__author_url`	`STRING`
`data__media__oembed__height`	`FLOAT64`
`data__media__oembed__html`	`STRING`
`data__media__oembed__provider_name`	`STRING`
`data__media__oembed__provider_url`	`STRING`
`data__media__oembed__thumbnail_height`	`FLOAT64`
`data__media__oembed__thumbnail_url`	`STRING`
`data__media__oembed__thumbnail_width`	`FLOAT64`
`data__media__oembed__title`	`STRING`
`data__media__oembed__width`	`FLOAT64`
`data__media__reddit_video__bitrate_kbps`	`FLOAT64`
... and 952 more columns

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

search__data__all_awardings (4 columns)
search__data__author_flair_richtext (7 columns)
search__data__awarders (4 columns)
search__data__content_categories (4 columns)
search__data__crosspost_parent_list (94 columns)
search__data__crosspost_parent_list__all_awardings (4 columns)
search__data__crosspost_parent_list__author_flair_richtext (4 columns)
search__data__crosspost_parent_list__awarders (4 columns)
search__data__crosspost_parent_list__link_flair_richtext (4 columns)
search__data__crosspost_parent_list__mod_reports (4 columns)
search__data__crosspost_parent_list__treatment_tags (4 columns)
search__data__crosspost_parent_list__user_reports (4 columns)
search__data__gallery_data__items (7 columns)
search__data__link_flair_richtext (7 columns)
search__data__media_metadata___011yw4x5994d1__p (6 columns)
search__data__media_metadata___03ns5ofn0nlc1__p (6 columns)
search__data__media_metadata___07y16xdyz8ua1__p (6 columns)
search__data__media_metadata___09z3xsejvh2c1__p (6 columns)
search__data__media_metadata___0y3w4tr81nlc1__p (6 columns)
search__data__media_metadata___1p3eyw5hbadd1__p (6 columns)
search__data__media_metadata___218onixgbadd1__p (6 columns)
search__data__media_metadata___22ykvqgsk8ab1__p (6 columns)
search__data__media_metadata___33v7vwb2nq6d1__p (6 columns)
search__data__media_metadata___38rmo53tpzkc1__p (6 columns)
search__data__media_metadata___3e8h1d0l6s6b1__p (6 columns)
search__data__media_metadata___3ia6p53tpzkc1__p (6 columns)
search__data__media_metadata___3p9pq3o9wwsc1__p (6 columns)
search__data__media_metadata___49rq7lkgbadd1__p (6 columns)
search__data__media_metadata___4ap62sgsk8ab1__p (6 columns)
search__data__media_metadata___4nkps2o9wwsc1__p (6 columns)
search__data__media_metadata___4qqpfydyz8ua1__p (6 columns)
search__data__media_metadata___4v69gd6byrjc1__p (6 columns)
search__data__media_metadata___5262nwdd2uac1__p (6 columns)
search__data__media_metadata___57ps4qggbadd1__p (6 columns)
search__data__media_metadata___5o5h0e0l6s6b1__p (6 columns)
search__data__media_metadata___5uh8n0o9wwsc1__p (6 columns)
search__data__media_metadata___636xwzb2nq6d1__p (6 columns)
search__data__media_metadata___64kdciqgbadd1__p (6 columns)
search__data__media_metadata___67d62rxthyoc1__p (6 columns)
search__data__media_metadata___74f5953tpzkc1__p (6 columns)
search__data__media_metadata___7l36mp2hbadd1__p (6 columns)
search__data__media_metadata___7o22ed0l6s6b1__p (6 columns)
search__data__media_metadata___7s9bqwaovsbd1__p (6 columns)
search__data__media_metadata___7us53p6r0nlc1__p (6 columns)
search__data__media_metadata___7ytjgsxuhyoc1__p (6 columns)
search__data__media_metadata___8b7h4eycy8hd1__p (6 columns)
search__data__media_metadata___8d3h7607iyoc1__p (6 columns)
search__data__media_metadata___8d6s6f0l6s6b1__p (6 columns)
search__data__media_metadata___8fc9x7zqhyoc1__p (6 columns)
search__data__media_metadata___8ivfrf3kvh2c1__p (6 columns)
search__data__media_metadata___8ji5f4ogbadd1__p (6 columns)
search__data__media_metadata___8qew9hlmtagd1__p (6 columns)
search__data__media_metadata___8wmfb73tpzkc1__p (6 columns)
search__data__media_metadata___90bw6c6byrjc1__p (6 columns)
search__data__media_metadata___9nj4zb6byrjc1__p (6 columns)
search__data__media_metadata__aezjvqgsk8ab1__p (6 columns)
search__data__media_metadata__agy59b6byrjc1__p (6 columns)
search__data__media_metadata__ani52glmtagd1__p (6 columns)
search__data__media_metadata__aqesbs0s0nlc1__p (6 columns)
search__data__media_metadata__b4rkym6p894d1__p (6 columns)
search__data__media_metadata__b5agp63tpzkc1__p (6 columns)
search__data__media_metadata__b96auu9u694d1__p (6 columns)
search__data__media_metadata__b9zn42ed2uac1__p (6 columns)
search__data__media_metadata__cmhjq2o9wwsc1__p (6 columns)
search__data__media_metadata__dimieuo7694d1__p (6 columns)
search__data__media_metadata__dlomukwp694d1__p (6 columns)
search__data__media_metadata__etdwa0o9wwsc1__p (6 columns)
search__data__media_metadata__fhu12oojvh2c1__p (6 columns)
search__data__media_metadata__fre1mdmmtagd1__p (6 columns)
search__data__media_metadata__fu12t3zjvh2c1__p (6 columns)
search__data__media_metadata__fw2i7t9hbadd1__p (6 columns)
search__data__media_metadata__g4bzpr7hbadd1__p (6 columns)
search__data__media_metadata__g7cmq88jvh2c1__p (6 columns)
search__data__media_metadata__gd3wl0cb2uac1__p (6 columns)
search__data__media_metadata__gltz973tpzkc1__p (6 columns)
search__data__media_metadata__gwsvjzb2nq6d1__p (6 columns)
search__data__media_metadata__h050ysgsk8ab1__p (6 columns)
search__data__media_metadata__h9ymvpdy694d1__p (6 columns)
search__data__media_metadata__hf54j1o9wwsc1__p (6 columns)
search__data__media_metadata__hmdpr1uc894d1__p (6 columns)
search__data__media_metadata__hnksl22fy8hd1__p (6 columns)
search__data__media_metadata__i1de61o9wwsc1__p (6 columns)
search__data__media_metadata__i7ag5dq5894d1__p (6 columns)
search__data__media_metadata__ibfiie0l6s6b1__p (6 columns)
search__data__media_metadata__icp4xi4b694d1__p (6 columns)
search__data__media_metadata__ivwcs2o9wwsc1__p (6 columns)
search__data__media_metadata__iysvgow1694d1__p (6 columns)
search__data__media_metadata__j15elwdd2uac1__p (6 columns)
search__data__media_metadata__jl3gzhijvh2c1__p (6 columns)
search__data__media_metadata__jt0a14o9wwsc1__p (6 columns)
search__data__media_metadata__k0e9y3wp0nlc1__p (6 columns)
search__data__media_metadata__kf9rhcxdy8hd1__p (6 columns)
search__data__media_metadata__ky0tk51l6s6b1__p (6 columns)
search__data__media_metadata__l1d8r63tpzkc1__p (6 columns)
search__data__media_metadata__l5022b6byrjc1__p (6 columns)
search__data__media_metadata__lb1zpgsjvh2c1__p (6 columns)
search__data__media_metadata__lt5zaanshyoc1__p (6 columns)
search__data__media_metadata__m2e1db6byrjc1__p (6 columns)
search__data__media_metadata__m8ca2rgsk8ab1__p (6 columns)
search__data__media_metadata__mgrnjb6byrjc1__p (6 columns)
search__data__media_metadata__mr2sldzgbadd1__p (6 columns)
search__data__media_metadata__n0fwm3rmdoob1__p (6 columns)
search__data__media_metadata__n5olcwd2794d1__p (6 columns)
search__data__media_metadata__neh04sbthyoc1__p (6 columns)
search__data__media_metadata__nh9z7bsgbadd1__p (6 columns)
search__data__media_metadata__o5b73gog694d1__p (6 columns)
search__data__media_metadata__o66q0ifg894d1__p (6 columns)
search__data__media_metadata__ogtdkc6byrjc1__p (6 columns)
search__data__media_metadata__omghqydd2uac1__p (6 columns)
search__data__media_metadata__oz9pl41l6s6b1__p (6 columns)
search__data__media_metadata__p8mlq3rmdoob1__p (6 columns)
search__data__media_metadata__pn3rtnlm694d1__p (6 columns)
search__data__media_metadata__pyf2u88x994d1__p (6 columns)
search__data__media_metadata__q15ymrgsk8ab1__p (6 columns)
search__data__media_metadata__q7n6i0ed2uac1__p (6 columns)
search__data__media_metadata__q7y7srgsk8ab1__p (6 columns)
search__data__media_metadata__qh0em1o9wwsc1__p (6 columns)
search__data__media_metadata__qrfauwfdy8hd1__p (6 columns)
search__data__media_metadata__qwrvjd0l6s6b1__p (6 columns)
search__data__media_metadata__qyg6qyfcy8hd1__p (6 columns)
search__data__media_metadata__rqxlaydd2uac1__p (6 columns)
search__data__media_metadata__sai4epnna94d1__p (6 columns)
search__data__media_metadata__sbo9envgbadd1__p (6 columns)
search__data__media_metadata__sdynasley8hd1__p (6 columns)
search__data__media_metadata__spqh22bba94d1__p (6 columns)
search__data__media_metadata__tuniwx0m794d1__p (6 columns)
search__data__media_metadata__u9kxh9rmdoob1__p (6 columns)
search__data__media_metadata__um8wkm3cy8hd1__p (6 columns)
search__data__media_metadata__vsb68f0l6s6b1__p (6 columns)
search__data__media_metadata__w65aquw1694d1__p (6 columns)
search__data__media_metadata__wpmmo53tpzkc1__p (6 columns)
search__data__media_metadata__wrawg1o9wwsc1__p (6 columns)
search__data__media_metadata__ws6w7f0l6s6b1__p (6 columns)
search__data__media_metadata__xtzxa8d2nq6d1__p (6 columns)
search__data__media_metadata__yijd9qag794d1__p (6 columns)
search__data__media_metadata__zr8qlmeo84sc1__p (6 columns)
search__data__media_metadata__zrv15xaovsbd1__p (6 columns)
search__data__media_metadata__zyjxsqgsk8ab1__p (6 columns)
search__data__mod_reports (4 columns)
search__data__preview__images (19 columns)
search__data__preview__images__resolutions (6 columns)
search__data__preview__images__variants__gif__resolutions (6 columns)
search__data__preview__images__variants__mp4__resolutions (6 columns)
search__data__preview__images__variants__nsfw__resolutions (6 columns)
search__data__preview__images__variants__obfuscated__resolutions (6 columns)
search__data__treatment_tags (4 columns)
search__data__user_reports (4 columns)

self (134 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`accept_followers`	`BOOL`
`awardee_karma`	`FLOAT64`
`awarder_karma`	`FLOAT64`
`can_create_subreddit`	`BOOL`
`can_edit_name`	`BOOL`
`coins`	`FLOAT64`
`comment_karma`	`FLOAT64`
`created`	`FLOAT64`
`created_utc`	`FLOAT64`
`features__awards_on_streams`	`BOOL`
`features__chat_group_rollout`	`BOOL`
`features__chat_subreddit`	`BOOL`
`features__chat_user_settings`	`BOOL`
`features__cookie_consent_banner`	`BOOL`
`features__crowd_control_for_post`	`BOOL`
`features__do_not_track`	`BOOL`
`features__expensive_coins_package`	`BOOL`
`features__images_in_comments`	`BOOL`
`features__is_email_permission_required`	`BOOL`
`features__mod_awards`	`BOOL`
`features__mod_service_mute_reads`	`BOOL`
`features__mod_service_mute_writes`	`BOOL`
`features__modlog_copyright_removal`	`BOOL`
`features__modmail_harassment_filter`	`BOOL`
`features__mweb_nsfw_xpromo__experiment_id`	`FLOAT64`
`features__mweb_nsfw_xpromo__owner`	`STRING`
`features__mweb_nsfw_xpromo__variant`	`STRING`
`features__mweb_sharing_clipboard__experiment_id`	`FLOAT64`
`features__mweb_sharing_clipboard__owner`	`STRING`
`features__mweb_sharing_clipboard__variant`	`STRING`
`features__mweb_xpromo_interstitial_comments_android`	`BOOL`
`features__mweb_xpromo_interstitial_comments_ios`	`BOOL`
`features__mweb_xpromo_modal_listing_click_daily_dismissible_android`	`BOOL`
`features__mweb_xpromo_modal_listing_click_daily_dismissible_ios`	`BOOL`
`features__mweb_xpromo_revamp_v2__experiment_id`	`FLOAT64`
`features__mweb_xpromo_revamp_v2__owner`	`STRING`
`features__mweb_xpromo_revamp_v2__variant`	`STRING`
`features__mweb_xpromo_revamp_v3__experiment_id`	`FLOAT64`
`features__mweb_xpromo_revamp_v3__owner`	`STRING`
`features__mweb_xpromo_revamp_v3__variant`	`STRING`
`features__noreferrer_to_noopener`	`BOOL`
`features__premium_subscriptions_table`	`BOOL`
`features__promoted_trend_blanks`	`BOOL`
`features__resized_styles_images`	`BOOL`
`features__show_amp_link`	`BOOL`
`features__use_pref_account_deployment`	`BOOL`
`force_password_reset`	`BOOL`
`gold_creddits`	`FLOAT64`
`has_android_subscription`	`BOOL`
`has_external_account`	`BOOL`
`has_gold_subscription`	`BOOL`
`has_ios_subscription`	`BOOL`
`has_mail`	`BOOL`
`has_mod_mail`	`BOOL`
`has_paypal_subscription`	`BOOL`
`has_stripe_subscription`	`BOOL`
`has_subscribed`	`BOOL`
`has_subscribed_to_premium`	`BOOL`
`has_verified_email`	`BOOL`
... and 74 more columns

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

self__linked_identities (4 columns)
self__subreddit__allowed_media_in_comments (4 columns)
self__subreddit__icon_size (4 columns)
self__subreddit__previous_names (4 columns)

subreddit_explore (344 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`data__allow_live_comments`	`BOOL`
`data__archived`	`BOOL`
`data__author`	`STRING`
`data__author_cakeday`	`BOOL`
`data__author_flair_background_color`	`STRING`
`data__author_flair_template_id`	`STRING`
`data__author_flair_text`	`STRING`
`data__author_flair_text_color`	`STRING`
`data__author_flair_type`	`STRING`
`data__author_fullname`	`STRING`
`data__author_is_blocked`	`BOOL`
`data__author_patreon_flair`	`BOOL`
`data__author_premium`	`BOOL`
`data__can_gild`	`BOOL`
`data__can_mod_post`	`BOOL`
`data__clicked`	`BOOL`
`data__contest_mode`	`BOOL`
`data__created`	`FLOAT64`
`data__created_utc`	`FLOAT64`
`data__crosspost_parent`	`STRING`
`data__domain`	`STRING`
`data__downs`	`FLOAT64`
`data__edited`	`FLOAT64`
`data__gilded`	`FLOAT64`
`data__hidden`	`BOOL`
`data__hide_score`	`BOOL`
`data__id`	`STRING`
`data__is_created_from_ads_ui`	`BOOL`
`data__is_crosspostable`	`BOOL`
`data__is_gallery`	`BOOL`
`data__is_meta`	`BOOL`
`data__is_original_content`	`BOOL`
`data__is_reddit_media_domain`	`BOOL`
`data__is_robot_indexable`	`BOOL`
`data__is_self`	`BOOL`
`data__is_video`	`BOOL`
`data__link_flair_background_color`	`STRING`
`data__link_flair_css_class`	`STRING`
`data__link_flair_template_id`	`STRING`
`data__link_flair_text`	`STRING`
`data__link_flair_text_color`	`STRING`
`data__link_flair_type`	`STRING`
`data__locked`	`BOOL`
`data__media__type`	`STRING`
`data__media__oembed__version`	`STRING`
`data__media__oembed__type`	`STRING`
`data__media__oembed__description`	`STRING`
`data__media__oembed__author_name`	`STRING`
`data__media__oembed__author_url`	`STRING`
`data__media__oembed__height`	`FLOAT64`
`data__media__oembed__html`	`STRING`
`data__media__oembed__provider_name`	`STRING`
`data__media__oembed__provider_url`	`STRING`
`data__media__oembed__thumbnail_height`	`FLOAT64`
`data__media__oembed__thumbnail_url`	`STRING`
`data__media__oembed__thumbnail_width`	`FLOAT64`
`data__media__oembed__title`	`STRING`
`data__media__oembed__url`	`STRING`
`data__media__oembed__width`	`FLOAT64`
... and 284 more columns

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

subreddit_explore__data__all_awardings (4 columns)
subreddit_explore__data__author_flair_richtext (7 columns)
subreddit_explore__data__awarders (4 columns)
subreddit_explore__data__crosspost_parent_list (98 columns)
subreddit_explore__data__crosspost_parent_list__all_awardings (4 columns)
subreddit_explore__data__crosspost_parent_list__author_flair_richtext (4 columns)
subreddit_explore__data__crosspost_parent_list__awarders (4 columns)
subreddit_explore__data__crosspost_parent_list__link_flair_richtext (4 columns)
subreddit_explore__data__crosspost_parent_list__mod_reports (4 columns)
subreddit_explore__data__crosspost_parent_list__preview__images (7 columns)
subreddit_explore__data__crosspost_parent_list__preview__images__resolutions (6 columns)
subreddit_explore__data__crosspost_parent_list__treatment_tags (4 columns)
subreddit_explore__data__crosspost_parent_list__user_reports (4 columns)
subreddit_explore__data__gallery_data__items (6 columns)
subreddit_explore__data__link_flair_richtext (7 columns)
subreddit_explore__data__media_metadata___0521osovmfkd1__p (6 columns)
subreddit_explore__data__media_metadata___2d1dib6vmfkd1__p (6 columns)
subreddit_explore__data__media_metadata___3rhl3xrmwdkd1__p (6 columns)
subreddit_explore__data__media_metadata___3uoq3om8ddkd1__p (6 columns)
subreddit_explore__data__media_metadata___4ysppojeljkd1__p (6 columns)
subreddit_explore__data__media_metadata___5tymkhlvmfkd1__p (6 columns)
subreddit_explore__data__media_metadata___857h41hdrikd1__p (6 columns)
subreddit_explore__data__media_metadata__anioms3owdkd1__p (6 columns)
subreddit_explore__data__media_metadata__aqp1w19tcdkd1__p (6 columns)
subreddit_explore__data__media_metadata__b3nvq6evmfkd1__p (6 columns)
subreddit_explore__data__media_metadata__dhnagdtokgkd1__p (6 columns)
subreddit_explore__data__media_metadata__f61ecqwvmfkd1__p (6 columns)
subreddit_explore__data__media_metadata__g4925io8rikd1__p (6 columns)
subreddit_explore__data__media_metadata__iopp0qgbxdkd1__p (6 columns)
subreddit_explore__data__media_metadata__jiq7b5ecxdkd1__p (6 columns)
subreddit_explore__data__media_metadata__k1h1kzrbxdkd1__p (6 columns)
subreddit_explore__data__media_metadata__ls9gt6jt8dkd1__p (6 columns)
subreddit_explore__data__media_metadata__mnhdu92wmfkd1__p (6 columns)
subreddit_explore__data__media_metadata__qqjus7nnwdkd1__p (6 columns)
subreddit_explore__data__media_metadata__qutybb4cxdkd1__p (6 columns)
subreddit_explore__data__media_metadata__tvv022wbxdkd1__p (6 columns)
subreddit_explore__data__media_metadata__uhqvqfq0iekd1__p (6 columns)
subreddit_explore__data__media_metadata__um0tev7kkjkd1__p (6 columns)
subreddit_explore__data__media_metadata__wjz5xk8wmfkd1__p (6 columns)
subreddit_explore__data__media_metadata__wqjap50cxdkd1__p (6 columns)
subreddit_explore__data__media_metadata__z8wtfowzcdkd1__p (6 columns)
subreddit_explore__data__media_metadata__zyu5ikgbbjkd1__p (6 columns)
subreddit_explore__data__mod_reports (4 columns)
subreddit_explore__data__preview__images (7 columns)
subreddit_explore__data__preview__images__resolutions (6 columns)
subreddit_explore__data__treatment_tags (4 columns)
subreddit_explore__data__user_reports (4 columns)

subreddit_popular (88 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`data__description`	`STRING`
`data__accept_followers`	`BOOL`
`data__accounts_active_is_fuzzed`	`BOOL`
`data__advertiser_category`	`STRING`
`data__all_original_content`	`BOOL`
`data__allow_discovery`	`BOOL`
`data__allow_galleries`	`BOOL`
`data__allow_images`	`BOOL`
`data__allow_polls`	`BOOL`
`data__allow_prediction_contributors`	`BOOL`
`data__allow_predictions`	`BOOL`
`data__allow_predictions_tournament`	`BOOL`
`data__allow_talks`	`BOOL`
`data__allow_videogifs`	`BOOL`
`data__allow_videos`	`BOOL`
`data__banner_background_color`	`STRING`
`data__banner_background_image`	`STRING`
`data__banner_img`	`STRING`
`data__can_assign_link_flair`	`BOOL`
`data__can_assign_user_flair`	`BOOL`
`data__collapse_deleted_comments`	`BOOL`
`data__comment_score_hide_mins`	`FLOAT64`
`data__community_icon`	`STRING`
`data__community_reviewed`	`BOOL`
`data__content_category`	`STRING`
`data__created`	`FLOAT64`
`data__created_utc`	`FLOAT64`
`data__description_html`	`STRING`
`data__disable_contributor_requests`	`BOOL`
`data__display_name`	`STRING`
`data__display_name_prefixed`	`STRING`
`data__emojis_enabled`	`BOOL`
`data__free_form_reports`	`BOOL`
`data__has_menu_widget`	`BOOL`
`data__header_img`	`STRING`
`data__header_title`	`STRING`
`data__hide_ads`	`BOOL`
`data__icon_img`	`STRING`
`data__id`	`STRING`
`data__is_crosspostable_subreddit`	`BOOL`
`data__key_color`	`STRING`
`data__lang`	`STRING`
`data__link_flair_enabled`	`BOOL`
`data__link_flair_position`	`STRING`
`data__mobile_banner_image`	`STRING`
`data__name`	`STRING`
`data__original_content_tag_enabled`	`BOOL`
`data__over18`	`BOOL`
`data__prediction_leaderboard_entry_type`	`FLOAT64`
`data__primary_color`	`STRING`
`data__public_description`	`STRING`
`data__public_description_html`	`STRING`
`data__public_traffic`	`BOOL`
`data__quarantine`	`BOOL`
`data__restrict_commenting`	`BOOL`
`data__restrict_posting`	`BOOL`
`data__should_archive_posts`	`BOOL`
`data__should_show_media_in_comments_setting`	`BOOL`
`data__show_media`	`BOOL`
... and 28 more columns

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

subreddit_popular__data__allowed_media_in_comments (4 columns)
subreddit_popular__data__banner_size (4 columns)
subreddit_popular__data__comment_contribution_settings__allowed_media_types (4 columns)
subreddit_popular__data__emojis_custom_size (4 columns)
subreddit_popular__data__header_size (4 columns)
subreddit_popular__data__icon_size (4 columns)
subreddit_popular__data__user_flair_richtext (4 columns)

subreddit_search (88 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`data__description`	`STRING`
`data__accept_followers`	`BOOL`
`data__accounts_active_is_fuzzed`	`BOOL`
`data__advertiser_category`	`STRING`
`data__all_original_content`	`BOOL`
`data__allow_discovery`	`BOOL`
`data__allow_galleries`	`BOOL`
`data__allow_images`	`BOOL`
`data__allow_polls`	`BOOL`
`data__allow_prediction_contributors`	`BOOL`
`data__allow_predictions`	`BOOL`
`data__allow_predictions_tournament`	`BOOL`
`data__allow_talks`	`BOOL`
`data__allow_videogifs`	`BOOL`
`data__allow_videos`	`BOOL`
`data__banner_background_color`	`STRING`
`data__banner_background_image`	`STRING`
`data__banner_img`	`STRING`
`data__can_assign_link_flair`	`BOOL`
`data__can_assign_user_flair`	`BOOL`
`data__collapse_deleted_comments`	`BOOL`
`data__comment_score_hide_mins`	`FLOAT64`
`data__community_icon`	`STRING`
`data__community_reviewed`	`BOOL`
`data__content_category`	`STRING`
`data__created`	`FLOAT64`
`data__created_utc`	`FLOAT64`
`data__description_html`	`STRING`
`data__disable_contributor_requests`	`BOOL`
`data__display_name`	`STRING`
`data__display_name_prefixed`	`STRING`
`data__emojis_enabled`	`BOOL`
`data__free_form_reports`	`BOOL`
`data__has_menu_widget`	`BOOL`
`data__header_img`	`STRING`
`data__header_title`	`STRING`
`data__hide_ads`	`BOOL`
`data__icon_img`	`STRING`
`data__id`	`STRING`
`data__is_crosspostable_subreddit`	`BOOL`
`data__key_color`	`STRING`
`data__lang`	`STRING`
`data__link_flair_enabled`	`BOOL`
`data__link_flair_position`	`STRING`
`data__mobile_banner_image`	`STRING`
`data__name`	`STRING`
`data__original_content_tag_enabled`	`BOOL`
`data__over18`	`BOOL`
`data__prediction_leaderboard_entry_type`	`FLOAT64`
`data__primary_color`	`STRING`
`data__public_description`	`STRING`
`data__public_description_html`	`STRING`
`data__public_traffic`	`BOOL`
`data__quarantine`	`BOOL`
`data__restrict_commenting`	`BOOL`
`data__restrict_posting`	`BOOL`
`data__should_archive_posts`	`BOOL`
`data__should_show_media_in_comments_setting`	`BOOL`
`data__show_media`	`BOOL`
... and 28 more columns

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

subreddit_search__data__allowed_media_in_comments (4 columns)
subreddit_search__data__banner_size (4 columns)
subreddit_search__data__comment_contribution_settings__allowed_media_types (4 columns)
subreddit_search__data__emojis_custom_size (4 columns)
subreddit_search__data__header_size (4 columns)
subreddit_search__data__icon_size (4 columns)
subreddit_search__data__user_flair_richtext (4 columns)

How the Reddit sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Reddit 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 Reddit?

It depends on how much history is in your Reddit 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 Reddit'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 Reddit, 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 Reddit 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 Reddit connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Reddit data

Mention monitoring

Use search and subreddit_search to track conversations relevant to your brand.

Community analysis

Use subreddit_popular and subreddit_explore to understand active communities.

Marketing context

Bring Reddit data into BigQuery to report on social activity next to your other channels.

Use Reddit data in your AI and BI tools

Once Reddit 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 Reddit 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 Reddit connector pricing and plan details.

Google Ads: Sync Google Ads to BigQuery.
Custobar: Sync Custobar to BigQuery.
Google Search Console: Sync Google Search Console to BigQuery.
HubSpot: Sync HubSpot to BigQuery.
Adform: Sync Adform to BigQuery.
Amplitude: Sync Amplitude to BigQuery.

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What is the Reddit connector

Getting started with the Reddit connector

Authenticating Reddit

Configuring the Reddit connector

Tables and columns synced from Reddit

Nested subtables

Nested subtables

Nested subtables

Nested subtables

Nested subtables

Nested subtables

How the Reddit sync works

Frequently asked questions

How long does the initial sync take for Reddit?

Can I sync only some tables or columns?

What happens when Reddit's schema changes?

How do I handle GDPR or data deletion requests?

Common use cases for Reddit data

Mention monitoring

Community analysis

Marketing context

Use Reddit data in your AI and BI tools

Claude

Power BI

Data Studio

Tableau

Google Sheets

Excel

Metabase

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