Octoparse is built for teams that need structured web data but do not want every extraction workflow to become an engineering project. It is especially useful when the data is available on websites, changes regularly, and needs to be collected repeatedly for research, operations, sales, pricing, or reporting workflows.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.
Common users
Analysts and researchers
Collect market data, public datasets, directory listings, product information, and competitor signals for analysis.
Growth and sales teams
Build lead lists, enrich prospect data, monitor business directories, and collect public company information.
E-commerce teams
Monitor product listings, prices, reviews, inventory signals, and marketplace content across multiple sites.
Operations teams
Automate recurring data collection and export results to spreadsheets, databases, or shared destinations.
When Octoparse is a good fit
Octoparse is a good fit when:- The data is visible or accessible on a website
- The website requires browser interaction, such as clicking, scrolling, pagination, or login
- The data needs to be collected repeatedly
- The task can be defined as a repeatable workflow
- Non-developers need to build or maintain the extraction process
- The output needs to be exported to files, sheets, databases, or other systems
When another approach may be better
Octoparse is not always the right tool. Consider another approach when:| Situation | Better approach |
|---|---|
| The website provides a complete and stable official API | Use the official API directly |
| The workflow requires heavy custom logic or application-specific code | Build a custom integration |
| The target data is not permitted to be collected | Do not scrape it |
| The data needs complex analysis or visualization | Use Octoparse for collection, then process the data in analytics tools |
Team workflows
Octoparse can support both individual and team-based workflows. A typical team setup looks like this:Build the task
A user creates or configures the extraction workflow with templates, auto-detect, or the no-code builder.
Test the output
The team checks sample results, field names, pagination behavior, and whether the task captures the right records.
Run at scale
Tasks can run locally for testing or in the cloud for scheduled and unattended collection.
Related pages
How it works
See the basic build, run, and export workflow.
Core concepts
Learn the main terms used across Octoparse.