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ArkClaw Enterprise

Best Practices

Using ArkClaw built-in browser to obtain webpage information

ArkClaw provides a built-in browser and related operation skills. With these skills, ArkClaw can help you quickly obtain and summarize the latest information from websites.

Features

The built-in browser plugin provides deployable, reusable, and scalable information acquisition solutions.

AI human-like operations

Enables AI to autonomously collect online information by simulating human behaviors, such as page waiting, random scrolling, and request concurrency control to avoid webpage access restrictions.

Ecosystem tool collaboration

Integrates with ecosystem skill packages (such as Playwright and Smart-OCR) to overcome data extraction challenges in dynamic rendering and image-only pages.

Improved decision-making efficiency

Highly standardized repetitive tasks are automated. This reduces costs for market research, competitor monitoring, and opportunity discovery.

Applicable scenarios

Data acquisition and competitor monitoring

This skill helps product managers, marketers, and e-commerce merchants who need to track market trends and competitor activities, reducing the workload of highly standardized repetitive tasks.

Automated testing and availability monitoring

This skill helps QA engineers and developers reduce manual effort by automating page interactions and functional checks.

Social media operations and trend collection

This skill helps content creators and marketing personnel quickly collect social media hotspots and public opinions, improving content insights and creation efficiency.

Usage example

This section provides sample interactions for common use cases as a reference for conversion contents.

warning

Currently, only ArkClaw Premium supports browser interactions (such as clicking page buttons and scrolling). Learn more.

Data acquisition and competitor monitoring

In this scenario, the AI is instructed to simulate human browsing behaviors to avoid blocking and accurately extract structured data.

Sample prompt:

Open 36Kr's AI channel: https://36kr.com/information/AI/. Grab the titles and core summaries of the top 5 articles about "Large models" or "AIGC" recently published on the homepage. Visit these article links one by one, summarize the top 3 AI implementation scenarios that the industry is most concerned about, and organize this data into a Markdown table.

Automated testing and availability monitoring

In this scenario, clear browser-specific instructions are provided to perform sequential interactions such as clicking and entering data, then reporting the final status.

Sample prompt:

Act as a QA engineer and use the built-in browser to open https://www.volcengine.com/product/ecs and https://www.volcengine.com/product/ark. Simulate human behaviors to detect whether both pages can be accessed and used normally. If a page loads abnormally, record the specific situation.

Social media operations and trend collection

This scenario often involves processing large amounts of mixed image-text information. The OCR skill can be used for deeper data extraction.

Sample prompt:

Use the built-in browser to visit the sspai homepage: https://sspai.com/. Extract the titles and authors of the top 5 articles in the "Popular Articles" or "Editor's Pick" section. Based on the tone of our technology product, select the one article that best fits, and help me generate a 100-word recommendation post for WeChat Moments.

Last updated: 2026.04.01 14:46:30