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COMPUTER USE / USE CASE

When web scraping needs an agent

Use adaptive browsing for a specific navigation problem while keeping extraction, access, and validation explicit.

01Trigger
02Agent
03Browser / desktop
04Human approval
05Outcome

Define the job

Collect an approved set of fields from permitted pages where reaching the data requires bounded interpretation or interaction. Produce structured output with source, observation time, and unknown values for unestablished fields.

API FIRST?

Should this use computer use at all?

Use an available feed, API, licensed dataset, or deterministic extractor before adding an agent. An AI loop is a candidate for navigation ambiguity, not a reason to bypass access restrictions or replace a reliable supported data path.

API vs. computer use →

Architecture options

Deterministic extraction with a narrow fallback

Run a known extractor for stable pages and return unexpected layouts as exceptions. Evaluate an adaptive step only for the specific navigation or field-location problem that caused the exception.

Agent-guided discovery, validated output

Constrain an agent to approved sources and a schema. Let it locate relevant pages, then validate identifiers, units, and completeness in code before accepting a row.

Failure modes & approval

Where the workflow can break

  • A plausible value may belong to another product, date, or variant.
  • Dynamic pages can expose account-specific or region-specific content.
  • Aggressive retries can violate source access constraints and increase cost without valid results.

Human approval point

Approve the source scope and data-use purpose before collection. Stop at access challenges or scope changes that require authorization; publication or downstream writes are separate actions.

Design the handoff →

Tools to evaluate

Budget the whole workflow

  • Pages and interactive steps per accepted row
  • Schema failures and duplicate detection
  • Source-rate constraints and review
Open cost calculator

Implementation playbooks

RESEARCH NOTES

Sources & verification

Reviewed Sep 27, 2026. Architecture recommendations are editorial analysis; linked vendor documentation supports the underlying capability and safety facts.

  1. playwright.dev/docs/locators
  2. docs.stagehand.dev/v4/first-steps/introduction
  3. developers.openai.com/api/docs/guides/tools-computer-use
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