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Cloud IP Pool selects the public cloud region for an Octoparse Cloud run. It can be useful when a target site serves different regional content or reacts differently to the default cloud location. It does not change the IP used by Local runs, renew a login, or guarantee access to a target site.

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What a Cloud IP Pool changes

A Cloud IP Pool only selects the region used for a Cloud run’s network connection. For example, choose Japan when a target site requires a Japanese location or shows Japan-specific content. It does not:
  • Turn the task into a paid proxy workflow
  • Guarantee one fixed IP for every request or subtask
  • Change the task’s browser mode, User-Agent, Cookies, login state, or workflow steps
  • Apply to task editing or Local runs
Cloud runs can use different cloud nodes and IPs within the selected region. After changing a pool, test the resulting page and data rather than assuming the location change resolved the issue.

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Available public regions

The current public pool list is US, UK, Germany, Japan, Australia, France, China, Canada, Brazil, South Korea, and United Arab Emirates, plus Default. Use Default when the target website works without a location-specific requirement. Select a country or region when the target’s content or access rules depend on location.

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Change and validate the pool

  1. Open the task’s Cloud Run Settings.
  2. Under Public IP Pool, select Default or the region needed for the target market.
  3. Save the setting and run a small Cloud test.
  4. Review the run event log and screenshot for redirects, access-denied pages, a login page, or a verification challenge.
  5. Compare the expected regional page, fields, and record count with the baseline run.

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Public IP Pool and built-in proxies are different

Cloud runs can execute through different cloud nodes and IPs. Do not assume that every request will use one fixed IP, and do not treat an IP pool as a CAPTCHA or general anti-blocking solution.
Start with Default when it returns the expected page. Change only one factor at a time, then keep the smallest configuration that produces complete, repeatable data.