Actor Run

An Actor run refers to the individual execution instance of an Actor or task on a cloud automation platform like CapSolver.

Definition

An Actor run is the specific invocation of an Actor or task, created each time you start it with given parameters such as input, memory allocation, and timeout settings. It encapsulates everything about that execution, including logs, data output, and the resources used during the run. Users can monitor the run’s progress, inspect logs, and access structured results stored in key-value stores or datasets. Actor runs make it possible to track and manage repeated automation jobs consistently and reliably. This concept is central to orchestrating scalable web scraping, automation, and data extraction workflows on platforms that support serverless executions like CapSolver.

Pros

• Provides a clear, isolated execution context for each automation job.
• Makes it easy to monitor performance, logs, and outputs independently.
• Supports reproducibility by encapsulating inputs and settings per run.
• Enables integration with storage systems for structured result handling.
• Scales automation tasks without manual infrastructure management.

Cons

• Each run consumes platform resources, which may incur costs.
• Short runs may still have overhead from startup latency.
• Complex workflows may require managing many separate runs.
• Debugging across multiple runs can be challenging without proper logging.
• Runs depend on correct input configuration to produce useful results.

Use Cases

• Automating web scraping jobs with specific target URLs and schedules.
• Executing browser automation tasks with defined inputs and outputs.
• Running scheduled data extraction for price monitoring or lead generation.
• Processing API workflows that require repeated, parameterized executions.
• Integrating with AI pipelines that need structured data from the web.