# DrissionPage

> Use this tool when you need to automate web browsing tasks, such as web scraping, form filling, or UI testing, and require a library that can handle navigation, element manipulation, and screenshot capture. DrissionPage provides a robust interface for automating browser interactions, accepting inputs like URLs and element selectors, and producing outputs like scraped data and screenshots. It is ideal for use cases where automated browsing and data extraction are necessary, such as data mining, automated testing, and monitoring web applications.

Canonical page: https://skillsregistry.net/skills/jumodada-drissionpage  
JSON: https://api.skillsregistry.net/v1/skills/jumodada-drissionpage

## Description

Provides browser automation capabilities through DrissionPage library for web scraping, form filling, UI testing, and automated browsing with navigation, element manipulation, screenshot capture, and wait operations.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jumodada-drissionpage)
- **Repository:** <https://github.com/jumodada/drissionpage-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jumodada-drissionpage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jumodada-drissionpage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jumodada-drissionpage/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt