TikTok Auto Source is now live alongside Twitter Auto Source, expanding your automated data collection capabilities.

Instead of manually managing provider relationships, Auto Sources intelligently select the best provider for your specific query, and automatically handles failover to another if one goes offline. No manual switching, no downtime.

Auto Sources simplify the entire provider management workflow. Define your data requirements (keywords, filters, date ranges), and the system picks the right provider based on coverage, speed, reliability, and cost.

Read more on the Auto Sources Overview. There you can learn more on how automatic provider selection, built-in resilience, and simplified cost management can eliminate provider headaches. Additional Auto Sources coming soon.

Fixed an issue in Instagram Auto Source where multiple queries within a single Job could exceed rate limits and cause monitoring failures.

Jobs now properly enforce query limits per Job. If you have existing Jobs with multiple queries, review and adjust to ensure compliance with updated limits.

See Auto Sources documentation for more details.

Budget Alerts now correctly factor in Committed Usage Discounts (Commits) when calculating projected spend and alerting thresholds.

This ensures alerts accurately reflect your actual costs, accounting for any active commits.

See Budget Alerts for more details.

CSV codec is now available as an output format option in all compatible egress components.

Simplify data export workflows by writing directly to CSV format without additional transformation steps.

See Pipeline Egress Overview for compatible egress types.

Fixed an issue in the Document Inspector where the associated Jobs dropdown filter was not populating correctly.

The dropdown now properly displays all Jobs associated with the inspected pipeline.

See Pipeline Document Inspector for more information.

Twitter/X Auto Source is now generally available.

The release includes improved provider selection logic and enhanced resilience capabilities. Auto Sources intelligently select the best provider for your query and automatically failover to alternatives if one goes offline.

See Auto Source documentation for details.

All Vetric-based data sources have been upgraded to their latest production versions. This update includes improved data quality, better rate limit handling, and enhanced schema consistency across all Vetric connectors.

No action required, updates apply automatically to all running Jobs.

You can now download detailed usage CSVs directly from the Billing Dashboard. Export usage data by date range, pipeline, or billing tag for integration with your accounting and cost management systems. |

See Billing Dashboard documentation for further details.

An update to the Default Schema (generated by Unify) has been released, which updates the objects around video metadata.

Previously some sources, when unified, were not standardized in their treatment of additional video metadata.

With this update, any field that was content.video_urls now uses content.videos[*].url. Instead of returning a list of urls, Unify will not return a list of objects with one of its properties being its url. This supports the additional metadata which may be attributed to each video present in the content.

The following data sources (and their related components) have been updated with this change.

• brightdata_instagram_posts
• brightdata_pinterest_posts
• brightdata_reddit_posts
• brightdata_youtube_posts
• data365_facebook_hashtag
• data365_facebook_keywords_latest
• data365_facebook_keywords_top
• data365_facebook_posts_search
• data365_facebook_profile
• data365_instagram_hashtag
• data365_instagram_location
• data365_instagram_profile
• data365_instagram_profile_posts_feed
• data365_linkedin_company
• data365_linkedin_keywords
• data365_linkedin_member
• data365_tiktok_hashtag
• data365_tiktok_keywords
• data365_tiktok_music
• data365_tiktok_profile
• vetric_facebook_discover_posts
• vetric_facebook_profile_feed
• vetric_instagram_user_feed
• vetric_instagram_user_reels
• vetric_tiktok_discover_posts
• vetric_tiktok_user_feed
• vetric_x_search_latest

An update was released for Vetric components with enhanced Job recovery logic. This update improves the handling of high volumes of concurrent requests and reduces the failures of work items within Jobs using Vetric sources.

All Vetric components automatically updated to use the improved logic, and no user action is required.