Automate SEO data pipelines and marketing analytics workflows between your orchestration platform and digital marketing suite. Stop manually exporting Semrush reports, writing custom DAG tasks for SEO data, or building brittle API scripts to sync rankings and competitor insights.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Trigger Airflow DAGs that pull keyword position data, organic traffic metrics, and SERP features from Semrush projects. Automatically transform and load SEO performance data into Snowflake, BigQuery, or Redshift for centralized analytics alongside product and revenue metrics.
Use Airflow to orchestrate multi-step workflows that query Semrush for competitor backlinks, paid search strategies, and traffic estimates. Combine with internal product and customer data, then distribute formatted reports to stakeholders on a recurring schedule.
When Airflow pipelines process new customer or prospect records, automatically query Semrush for domain metrics, organic search visibility, and estimated traffic. Append marketing intelligence to CRM and data warehouse records for sales prioritization and account scoring.
Monitor Semrush keyword rankings and site health scores within Airflow DAGs. Automatically trigger Slack or email alerts when ranking drops exceed thresholds, when technical SEO issues are detected, or when competitor movements require immediate attention.
Schedule daily Airflow jobs that snapshot Semrush position tracking, backlink profiles, and site audit scores. Build comprehensive historical datasets in your data lake for year-over-year comparisons, algorithm impact analysis, and long-term content performance tracking.
When upstream Airflow tasks detect new content published or product launches, automatically query Semrush for related keyword opportunities, search volume trends, and competitive difficulty scores. Feed insights directly into content planning databases and project management tools.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Semrush with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both Airflow's DAG structure and task dependencies alongside Semrush's project hierarchies, keyword databases, and domain analytics schemas.
Redbird automatically interprets Semrush project configurations, position tracking setups, and API endpoint schemas, then generates the Airflow operators, sensors, and task dependencies you need. The platform understands how to handle rate limits, paginated responses for large keyword sets, and delta syncs for incremental data loads. You describe the SEO workflow you want—daily ranking updates, weekly competitor snapshots, or real-time site health monitoring—and Redbird builds production-ready DAGs with proper error handling and retry logic.
faster than building custom Airflow operators for Semrush API endpoints
Redbird can pull from Airflow and Semrush simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Airflow or Semrush.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Airflow into Semrush, or from Semrush back into Airflow. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any pipeline event in Airflow or data change in Semrush, then execute actions across both platforms.
Trigger workflows when specific Airflow pipeline executions finish successfully or fail with errors.
Detect when individual Airflow tasks transition to running, success, failed, or retry states.
Initiate actions based on Airflow DAG schedule intervals, cron expressions, or time-based triggers.
Programmatically start Airflow DAG executions with custom configuration parameters and runtime context.
Modify Airflow Variables or XCom values to pass data between tasks or influence pipeline behavior.
Manage Airflow connection configurations for databases, APIs, and external services used in pipelines.
Detect when tracked keywords move up or down in search rankings beyond configured thresholds.
Trigger actions when Semrush finishes crawling your domain and updates technical SEO health scores.
Monitor when Semrush identifies new referring domains or backlink profile changes for tracked projects.
Pull keyword position tracking reports, SERP feature visibility, and search volume metrics from Semrush projects.
Retrieve organic traffic estimates, authority scores, and competitive positioning data for any domain.
Fetch backlink profiles, paid search strategies, top-performing content, and traffic sources for competitor domains.
Stop writing custom Airflow operators for SEO data. Sync Airflow with Semrush in minutes and automate the marketing analytics pipelines your team actually needs.