Collaboration features help teams build, run, review, and maintain extraction tasks together. They are useful when multiple people need access to tasks, exported data, or recurring workflows. Use collaboration workflows when data collection is part of a shared business process rather than an individual one-off task.Documentation Index
Fetch the complete documentation index at: https://www.octoparse.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
What teams collaborate on
Teams commonly collaborate on:- Task building and review
- Template or workflow reuse
- Cloud runs and schedules
- Export destinations
- Data quality checks
- Troubleshooting failed runs
- Documentation for task ownership and maintenance
Typical team workflow
Review sample output
A reviewer checks whether the fields, records, and export format meet the team’s needs.
Automate runs or exports
Configure schedules and destinations if the workflow needs recurring delivery.
Best practices
| Practice | Why it helps |
|---|---|
| Use clear task names | Makes tasks easier to find and maintain |
| Document target websites | Helps others understand what the task collects |
| Keep field names consistent | Reduces downstream mapping issues |
| Review changes before scheduled runs | Prevents broken workflows from running automatically |
| Separate raw data from analysis | Keeps exports predictable |
| Assign task owners | Avoids unclear responsibility when failures happen |
Collaboration roles
A team workflow may involve:- A task builder who configures extraction logic
- A reviewer who validates output quality
- An operator who monitors schedules and runs
- A data owner who manages downstream use
- An admin who manages account, access, and billing settings
The exact collaboration and permission options depend on your Octoparse plan and account setup.