Zhipu Web Page Reader

Fetch and parse web page content via Zhipu AI's Reader API (/paas/v4/reader), using lightweight cURL. Returns parsed page content in Markdown or plain text format, along with metadata like title and description.

Quick Start

Basic cURL Usage

curl --request POST \
  --url https://open.bigmodel.cn/api/paas/v4/reader \
  --header "Authorization: Bearer $ZHIPU_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "url": "https://www.example.com"
  }'

Script Usage

A wrapper shell script is provided for convenience.

# Basic Fetch (returns Markdown by default)
bash scripts/zhipu_fetch.sh --url "https://www.example.com"

# Fetch as plain text, no cache
bash scripts/zhipu_fetch.sh \
  --url "https://docs.python.org/3/" \
  --format text \
  --no-cache

# Fetch with image and link summaries
bash scripts/zhipu_fetch.sh \
  --url "https://news.example.com/article" \
  --images-summary \
  --links-summary

# Fetch without images, disable GFM
bash scripts/zhipu_fetch.sh \
  --url "https://blog.example.com/post" \
  --no-images \
  --no-gfm

API Parameter Reference

Response Structure

The API returns JSON with the parsed page content.

{
  "id": "task-id",
  "created": 1704067200,
  "request_id": "request-id",
  "model": "model-name",
  "reader_result": {
    "title": "Page Title",
    "description": "Brief page description",
    "url": "https://www.example.com",
    "content": "Parsed page content (Markdown or text)",
    "external": {
      "stylesheet": {}
    },
    "metadata": {
      "keywords": "page, keywords",
      "viewport": "width=device-width",
      "description": "Meta description",
      "format-detection": "telephone=no"
    }
  }
}

Key Response Fields

Common Use Cases

Environment Requirements

• Environment variable ZHIPU_API_KEY must be configured.
• curl command must be available in your system path.