Quickstart · Source connector
Reddit Ads ELT Connector
Extract brings Reddit Ads quickstart data into data warehouses and databases for analysis with the rest of your business data. Teams use it to build recurring reporting and compare business activity across systems. Flexible scheduling keeps reporting current for routine analysis and time-sensitive decisions.
View setup guide
Use cases
What teams use this connector for
Business performance reporting
Use Reddit Ads data to monitor recurring activity and investigate meaningful changes over time.
Cross-system analysis
Combine Reddit Ads data with customer, finance, and operational metrics for consistent reporting.
Data quality monitoring
Compare Reddit Ads record totals and reporting periods to identify incomplete or unexpected data.
Flexible reporting cadence
Refresh Reddit Ads reporting every 15 minutes, hourly, daily, or on a custom schedule as business needs change.
Warehouse and database analysis
Use Extract to make Reddit Ads quickstart data available in data warehouses and databases such as Snowflake, BigQuery, Redshift, and PostgreSQL for governed analysis.
Connector data
Available streams
| Stream | Description | Sync mode |
|---|---|---|
daily_campaign_report_keyword | Fields include campaign_id, date, keyword, _singular_extract_timestamp. | Incremental |
devices | Fields include make, model, _singular_extract_timestamp. | Full refresh |
daily_campaign_report_country | Fields include campaign_id, country, date, _singular_extract_timestamp. | Incremental |
daily_account_report_placement | Fields include account_id, date, placement, _singular_extract_timestamp. | Incremental |
ads | Fields include id, ad_account_id, ad_group_id, campaign_id. | Incremental |
accounts | Fields include id, _singular_extract_timestamp, admin_approval, attribution_type. | Incremental |
interests | Fields include id, _singular_extract_timestamp, category, name. | Full refresh |
daily_adgroup_report | Fields include ad_group_id, date, _singular_extract_timestamp, app_install_install_count. | Incremental |
communities | Fields include id, _singular_extract_timestamp, categories, description. | Full refresh |
daily_ad_report | Fields include ad_id, date, _singular_extract_timestamp, app_install_install_count. | Incremental |
daily_adgroup_report_placement | Fields include ad_group_id, date, placement, _singular_extract_timestamp. | Incremental |
daily_campaign_report | Fields include campaign_id, date, _singular_extract_timestamp, app_install_install_count. | Incremental |
ad_groups_schedule | Fields include ad_group_id, _singular_extract_timestamp, end_day, end_hour. | Incremental |
posts_content | Fields include post_id, _singular_extract_timestamp, call_to_action, caption. | Incremental |
ad_groups | Fields include id, ad_account_id, campaign_id, _singular_extract_timestamp. | Incremental |
posts | Fields include id, profile_id, _singular_extract_timestamp, allow_comments. | Incremental |
daily_ad_report_placement | Fields include ad_id, date, placement, _singular_extract_timestamp. | Incremental |
daily_account_report_country | Fields include account_id, country, date, _singular_extract_timestamp. | Incremental |
ad_groups_targeting_devices | Fields include ad_group_id, _singular_extract_timestamp, label_map, max_version. | Incremental |
daily_account_report_keyword | Fields include account_id, date, keyword, _singular_extract_timestamp. | Incremental |
carriers | Fields include id, _singular_extract_timestamp, country_code, name. | Full refresh |
pixels | Fields include id, _singular_extract_timestamp, automatic_matching_config.collect_email, business_id. | Incremental |
campaigns | Fields include id, ad_account_id, _singular_extract_timestamp, age_restriction. | Incremental |
daily_ad_report_country | Fields include ad_id, country, date, _singular_extract_timestamp. | Incremental |
daily_ad_report_keyword | Fields include ad_id, date, keyword, _singular_extract_timestamp. | Incremental |
custom_audiences | Fields include id, ad_account_id, _singular_extract_timestamp, created_at. | Incremental |
daily_adgroup_report_keyword | Fields include ad_group_id, date, keyword, _singular_extract_timestamp. | Incremental |
daily_adgroup_report_country | Fields include ad_group_id, country, date, _singular_extract_timestamp. | Incremental |
profiles | Fields include id, _singular_extract_timestamp, business_id, modified_at. | Incremental |
daily_campaign_report_placement | Fields include campaign_id, date, placement, _singular_extract_timestamp. | Incremental |
saved_audiences | Fields include id, ad_account_id, _singular_extract_timestamp, active_ad_groups_count. | Incremental |
daily_account_report | Fields include account_id, date, _singular_extract_timestamp, app_install_install_count. | Incremental |
geolocations | Fields include id, _singular_extract_timestamp, city, country. | Full refresh |
Schema
Data model at a glance
daily_campaign_report_keyword
campaign_idstringdatestringkeywordstring_singular_extract_timestampstringapp_install_install_countintegerapp_install_install_cvrnumberapp_install_install_ecpanumberapp_install_mmp_ad_click_countinteger
devices
makestringmodelstring_singular_extract_timestampstring
daily_campaign_report_country
campaign_idstringcountrystringdatestring_singular_extract_timestampstringapp_install_install_countintegerapp_install_install_cvrnumberapp_install_install_ecpanumberapp_install_mmp_ad_click_countinteger
daily_account_report_placement
account_idstringdatestringplacementstring_singular_extract_timestampstringapp_install_install_countintegerapp_install_install_cvrnumberapp_install_install_ecpanumberapp_install_mmp_ad_click_countinteger
ads
idstringad_account_idstringad_group_idstringcampaign_idstringcampaign_objective_typestring_singular_extract_timestampstringclick_urlstringclick_url_query_parametersjson
accounts
idstring_singular_extract_timestampstringadmin_approvalstringattribution_typestringbusiness_idstringclick_attribution_windowstringcreated_atstringcurrencystring
No verified relationships are available in this schema preview.
Connector pairings
Popular destinations
Commonly paired with Reddit Ads in Extract workflows.
Why Extract
Why Extract for Reddit Ads
- Rust-native performanceUse Rust-native data movement to refresh Reddit Ads reporting every 15 minutes, hourly, daily, or on a custom schedule as volume grows.
- Full run transparencyInspect Reddit Ads API activity, execution steps, and timing in Extract's run-level logs when data needs review.
- ELT + Reverse ETL in oneCombine Reddit Ads data with customer and finance models, then send approved outputs through a separately configured Reverse ETL destination.
FAQ
Frequently asked questions
How does Extract handle incremental and full Reddit Ads syncs?
An incremental sync processes only new or changed data since a stored checkpoint or new date partition, while a full sync processes the complete selected dataset or date range again. By avoiding repeated processing and writes for the full dataset, incremental syncs can reduce destination database updates and warehouse compute costs. Stream schemas define full refresh, incremental changes, partition-based extraction. Behavior varies by stream and configuration. Extract records run details so teams can verify each sync.
Can I backfill historical Reddit Ads data with Extract?
Historical coverage for Reddit Ads: Backfill (Days) (backfill): The backfill setting revisits and updates data from the past X days, ensuring the most current and accurate information replaces any previously pulled data. Use the setup guide and run details to confirm the available source records and selected settings.
How can teams monitor Reddit Ads data quality and freshness?
Compare expected reporting periods and record totals in your models, then use Extract's run-level logs to inspect Reddit Ads API activity, execution steps, and timing. This helps teams distinguish a source-data delay from a failed or incomplete run.
How often can Extract sync data from Reddit Ads?
Extract supports schedules every 15 minutes, hourly, daily, or on a custom cadence. Teams can choose a frequency that matches routine reporting, time-sensitive monitoring, or operational activation needs.
What does the Reddit Ads data model look like in the destination?
The Available streams table describes the datasets Extract can read from Reddit Ads. The inline schema previews entities and fields. Only relationships verified from the exported schema are shown. Use the full schema link for more details.