Captain Data
Captain Data is a no-code automation platform that lets you extract, enrich, and sync data from sources like LinkedIn, Google, and other web platforms. It organizes work into workflows and jobs, making it easy to run large-scale data extraction pipelines without writing code. Connecting Captain Data to Coupler.io lets you pull your automation results into analytics tools, spreadsheets, or AI assistants for deeper analysis.
Why connect Captain Data to Coupler.io?
Monitor your automation runs — track job statuses, success rates, and output volumes across all your workflows in one place
Analyze extracted data — send job results to Google Sheets, BigQuery, or Looker Studio to build reports on your scraped or enriched data
Combine multiple entities — use Append or Join transformations to merge job results with workflow metadata for a complete picture
AI-powered insights — route your Captain Data output to ChatGPT, Claude, or Gemini to summarize findings or generate follow-up actions
Prerequisites
An active Captain Data account with at least one workspace set up
Your Captain Data API key (available in your account settings)
At least one workflow with completed jobs to pull meaningful data
Quick start
How to connect
Create a new data flow in Coupler.io. Log in to Coupler.io and click Add data flow. Search for Captain Data and select it as your source.
Enter your API key. In Captain Data, go to your account settings and copy your API key. Paste it into the API key field in Coupler.io.
Select an entity. Choose what data you want to import — Workspaces, Workflows, Jobs, Successful Jobs, or Job Results.
Choose a destination. Select where you want your data to land — Google Sheets, Excel, BigQuery, Looker Studio, or an AI destination like Claude or ChatGPT.
Run your data flow. Click Run to execute a manual sync. Once it completes successfully, your data will appear in the destination you chose.
Captain Data data overview
Captain Data exposes five entities through Coupler.io, covering everything from your workspace setup down to the raw results produced by individual automation runs. This gives you full visibility into how your workflows are performing and what data they're generating.
Entities
Workspaces
Workspace name, ID, configuration, and membership details
Workflows
Workflow definitions, steps, integrations, and automation logic
Jobs
Job executions tied to workflows — status, timestamps, progress
Successful Jobs
Subset of jobs that completed without errors
Job Results
Actual output records produced by a completed job
Available fields
Workspaces
Workspace ID
Unique identifier for the workspace
Name
Display name of the workspace
Created at
Timestamp when the workspace was created
Members
Users associated with the workspace
Workflows
Workflow ID
Unique identifier for the workflow
Name
Human-readable workflow name
Status
Whether the workflow is active, paused, or archived
Steps
Sequence of actions configured in the workflow
Created at
When the workflow was created
Updated at
Last modification timestamp
Jobs
Job ID
Unique identifier for the job execution
Workflow ID
Which workflow triggered this job
Status
Current state: running, completed, failed, etc.
Started at
Timestamp when the job began
Finished at
Timestamp when the job ended
Records processed
Number of records handled by this job
Error message
Details if the job failed
Successful Jobs
Job ID
Unique identifier for the successful job
Workflow ID
Workflow that produced this job
Finished at
When the job completed successfully
Records processed
Output volume for this run
Job Results
Result ID
Unique identifier for the result record
Job ID
Job that generated this result
Data fields
The actual extracted or enriched data (varies by workflow)
Created at
When the result record was written
Common field combinations
Jobs + Job Results (Join on Job ID) — link execution metadata to actual output data
Workflows + Jobs (Join on Workflow ID) — see how each workflow performs across multiple runs
Successful Jobs across multiple workspaces (Append) — consolidate results from different teams or clients into one report
Use cases by role
Track how many leads or profiles were extracted per workflow run
Monitor which LinkedIn or Google scraping workflows are producing the most results
Send Job Results directly to ChatGPT or Claude to auto-generate outreach summaries
Build a dashboard showing job success rates and failure trends over time
Use the Jobs entity to spot workflows that are frequently failing or taking too long
Append job data across workspaces to get a global view of automation health
Pull Job Results per client workspace and push to separate Google Sheets tabs
Use the Workspaces entity to automate client reporting across multiple accounts
Aggregate record volumes by workflow to report on deliverables to clients
Platform-specific notes
Job Results fields vary depending on what each workflow is configured to extract — there is no fixed schema across all workflows
The Successful Jobs entity is a filtered view and does not include jobs that are still running or have failed
Workspaces are the top-level scope — all workflows and jobs belong to a specific workspace
Captain Data rate limits may apply when pulling large volumes of job results; see Common Issues for details
Captain Data common issues
Connection issues
Missing data
Permission errors
Data discrepancies
Rate limits
Captain Data FAQ
Last updated
Was this helpful?
