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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.

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.

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
Octoparse is often used when teams need flexibility: the target websites may not offer APIs, the page structure may vary, or the workflow needs to be adjusted without waiting for engineering resources.

When another approach may be better

Octoparse is not always the right tool. Consider another approach when:
SituationBetter approach
The website provides a complete and stable official APIUse the official API directly
The workflow requires heavy custom logic or application-specific codeBuild a custom integration
The target data is not permitted to be collectedDo not scrape it
The data needs complex analysis or visualizationUse Octoparse for collection, then process the data in analytics tools
Always make sure your data collection follows the target website’s terms, applicable laws, and internal compliance requirements.

Team workflows

Octoparse can support both individual and team-based workflows. A typical team setup looks like this:
1

Build the task

A user creates or configures the extraction workflow with templates, auto-detect, or the no-code builder.
2

Test the output

The team checks sample results, field names, pagination behavior, and whether the task captures the right records.
3

Run at scale

Tasks can run locally for testing or in the cloud for scheduled and unattended collection.
4

Share the results

Data can be exported to files, Google Sheets, databases, cloud storage, or downstream tools.

How it works

See the basic build, run, and export workflow.

Core concepts

Learn the main terms used across Octoparse.