diff --git a/kb_workflow/crawler/__init__.py b/kb_workflow/crawler/__init__.py
new file mode 100644
index 0000000..4b5a571
--- /dev/null
+++ b/kb_workflow/crawler/__init__.py
@@ -0,0 +1,20 @@
+"""Zhihu Crawler Module
+
+Provides content crawling capabilities for Zhihu using Playwright API interception.
+"""
+
+from .models import (
+    AuthorInfo,
+    ContentMetadata,
+    AnswerData,
+    ArticleData,
+    CrawlResult,
+)
+
+__all__ = [
+    "AuthorInfo",
+    "ContentMetadata",
+    "AnswerData",
+    "ArticleData",
+    "CrawlResult",
+]
diff --git a/kb_workflow/crawler/models.py b/kb_workflow/crawler/models.py
new file mode 100644
index 0000000..884242f
--- /dev/null
+++ b/kb_workflow/crawler/models.py
@@ -0,0 +1,97 @@
+"""Zhihu Crawler Data Models
+
+Pydantic models for structured data from Zhihu API responses.
+"""
+
+from typing import Optional, Union
+from pydantic import BaseModel, Field
+
+
+class AuthorInfo(BaseModel):
+    """Author information from Zhihu content.
+
+    Attributes:
+        name: Author display name
+        url_token: Author URL token (e.g., 'zhang-san-12')
+        headline: Author bio/headline
+    """
+    name: str = Field(..., description="Author display name")
+    url_token: Optional[str] = Field(None, description="Author URL token")
+    headline: Optional[str] = Field(None, description="Author bio/headline")
+
+
+class ContentMetadata(BaseModel):
+    """Metadata for Zhihu content (answers, articles, etc).
+
+    Attributes:
+        author: Author information
+        voteup_count: Number of upvotes/likes
+        comment_count: Number of comments
+        created_time: Unix timestamp of creation
+        updated_time: Unix timestamp of last update
+    """
+    author: Optional[AuthorInfo] = Field(None, description="Author info")
+    voteup_count: int = Field(default=0, description="Upvote count")
+    comment_count: int = Field(default=0, description="Comment count")
+    created_time: Optional[int] = Field(None, description="Creation timestamp")
+    updated_time: Optional[int] = Field(None, description="Update timestamp")
+
+
+class AnswerData(BaseModel):
+    """Data model for Zhihu answer.
+
+    Attributes:
+        id: Answer ID
+        question_id: Question ID this answer belongs to
+        question_title: Title of the question
+        content: Answer content in HTML format
+        excerpt: Plain text excerpt/summary
+        metadata: Additional metadata (author, votes, etc.)
+    """
+    id: int = Field(..., description="Answer ID")
+    question_id: int = Field(..., description="Question ID")
+    question_title: str = Field(..., description="Question title")
+    content: str = Field(default="", description="Answer content (HTML)")
+    excerpt: str = Field(default="", description="Plain text excerpt")
+    metadata: ContentMetadata = Field(
+        default_factory=ContentMetadata,
+        description="Content metadata"
+    )
+
+
+class ArticleData(BaseModel):
+    """Data model for Zhihu zhuanlan article.
+
+    Attributes:
+        id: Article ID
+        title: Article title
+        content: Article content in HTML format
+        excerpt: Plain text excerpt/summary
+        metadata: Additional metadata (author, votes, etc.)
+    """
+    id: int = Field(..., description="Article ID")
+    title: str = Field(..., description="Article title")
+    content: str = Field(default="", description="Article content (HTML)")
+    excerpt: str = Field(default="", description="Plain text excerpt")
+    metadata: ContentMetadata = Field(
+        default_factory=ContentMetadata,
+        description="Content metadata"
+    )
+
+
+class CrawlResult(BaseModel):
+    """Result of a crawl operation.
+
+    Attributes:
+        success: Whether the crawl was successful
+        content_type: Type of content ("answer" or "article")
+        data: Extracted content data if successful
+        error: Error message if failed
+    """
+    success: bool = Field(..., description="Whether crawl succeeded")
+    content_type: str = Field(default="", description="Content type: answer or article")
+    data: Optional[Union[AnswerData, ArticleData]] = Field(
+        None,
+        description="Extracted content data"
+    )
+    error: Optional[str] = Field(None, description="Error message if failed")
diff --git a/tests/test_crawler/__init__.py b/tests/test_crawler/__init__.py
new file mode 100644
index 0000000..1e63172
--- /dev/null
+++ b/tests/test_crawler/__init__.py
@@ -0,0 +1 @@
+"""Tests for Zhihu Crawler Module"""
diff --git a/tests/test_crawler/conftest.py b/tests/test_crawler/conftest.py
new file mode 100644
index 0000000..3337b0b
--- /dev/null
+++ b/tests/test_crawler/conftest.py
@@ -0,0 +1,104 @@
+"""Shared fixtures for Zhihu Crawler tests"""
+
+import pytest
+from unittest.mock import MagicMock, AsyncMock
+
+
+@pytest.fixture
+def mock_page():
+    """Mock Playwright page object.
+
+    Provides a mock page with route method for API interception testing.
+    """
+    page = MagicMock()
+    page.route = MagicMock()
+    page.goto = MagicMock()
+    page.wait_for_selector = MagicMock()
+    page.query_selector = MagicMock()
+    page.close = MagicMock()
+    return page
+
+
+@pytest.fixture
+def mock_browser():
+    """Mock PlaywrightBrowser instance.
+
+    Provides a mock browser with page attribute and lifecycle methods.
+    """
+    browser = MagicMock()
+    browser.page = MagicMock()
+    browser.start = MagicMock()
+    browser.close = MagicMock()
+    browser.goto = MagicMock()
+    return browser
+
+
+@pytest.fixture
+def sample_answer_api_response():
+    """Sample answer API response data.
+
+    Mimics the structure of /api/v4/answers/{id} response.
+    """
+    return {
+        "id": 123456789,
+        "type": "answer",
+        "question": {
+            "id": 987654321,
+            "title": "What is the best way to learn programming?",
+            "type": "question"
+        },
+        "content": "<p>This is a sample answer content in HTML format.</p>",
+        "excerpt": "This is a sample answer content...",
+        "author": {
+            "id": "user123",
+            "name": "John Doe",
+            "url_token": "john-doe-123",
+            "headline": "Software Engineer"
+        },
+        "voteup_count": 1000,
+        "comment_count": 50,
+        "created_time": 1700000000,
+        "updated_time": 1700100000
+    }
+
+
+@pytest.fixture
+def sample_article_api_response():
+    """Sample article API response data.
+
+    Mimics the structure of zhuanlan article API response.
+    """
+    return {
+        "id": 11223344,
+        "title": "How to Build a Web Scraper",
+        "content": "<p>This article explains how to build a web scraper...</p>",
+        "excerpt": "This article explains how to build a web scraper...",
+        "author": {
+            "id": "author456",
+            "name": "Jane Smith",
+            "url_token": "jane-smith-456",
+            "headline": "Tech Writer"
+        },
+        "voteup_count": 500,
+        "comment_count": 25,
+        "created_time": 1699900000,
+        "updated_time": 1700000000
+    }
+
+
+@pytest.fixture
+def sample_answer_url():
+    """Sample Zhihu answer URL."""
+    return "https://www.zhihu.com/question/987654321/answer/123456789"
+
+
+@pytest.fixture
+def sample_article_url():
+    """Sample Zhihu zhuanlan article URL."""
+    return "https://zhuanlan.zhihu.com/p/11223344"
+
+
+@pytest.fixture
+def sample_invalid_url():
+    """Sample invalid URL for testing error handling."""
+    return "https://www.example.com/some-page"