feat!: migrate langchain-scrapegraph to v2 API surface

examples/agent_example.py

@@ -9,19 +9,15 @@
 from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_openai import ChatOpenAI
 
-from langchain_scrapegraph.tools import (
-    GetCreditsTool,
-    SearchScraperTool,
-    SmartScraperTool,
-)
+from langchain_scrapegraph.tools import ExtractTool, GetCreditsTool, SearchTool
 
 load_dotenv()
 
 # Initialize the tools
 tools = [
-    SmartScraperTool(),
+    ExtractTool(),
     GetCreditsTool(),
-    SearchScraperTool(),
+    SearchTool(),
 ]
 
 # Create the prompt template

examples/crawl_tool.py

@@ -0,0 +1,30 @@
+"""Crawl Tool Example - LangChain Tool (v2 API)
+
+Replaces the old SmartCrawler tool. Uses namespaced crawl operations.
+"""
+
+import time
+
+from langchain_scrapegraph.tools import CrawlStartTool, CrawlStatusTool
+
+# Initialize tools
+start_tool = CrawlStartTool()
+status_tool = CrawlStatusTool()
+
+# Start a crawl job
+result = start_tool.invoke(
+    {
+        "url": "https://example.com",
+        "depth": 2,
+        "max_pages": 5,
+        "format": "markdown",
+    }
+)
+print("Crawl started:", result)
+
+# Check status
+crawl_id = result.get("id")
+if crawl_id:
+    time.sleep(5)
+    status = status_tool.invoke({"crawl_id": crawl_id})
+    print("Crawl status:", status)

examples/extract_tool.py

@@ -0,0 +1,18 @@
+"""Extract Tool Example - LangChain Tool (v2 API)
+
+Replaces the old SmartScraper tool. Extracts structured data from webpages using AI.
+"""
+
+from langchain_scrapegraph.tools import ExtractTool
+
+# Initialize the tool
+tool = ExtractTool()
+
+# Basic extraction
+result = tool.invoke(
+    {
+        "url": "https://example.com",
+        "prompt": "Extract the main heading and first paragraph",
+    }
+)
+print(result)

examples/extract_tool_schema.py

@@ -0,0 +1,22 @@
+"""Extract Tool with Schema Example - LangChain Tool (v2 API)"""
+
+from pydantic import BaseModel, Field
+
+from langchain_scrapegraph.tools import ExtractTool
+
+
+class WebsiteInfo(BaseModel):
+    title: str = Field(description="The main title of the page")
+    description: str = Field(description="The main description")
+
+
+# Initialize with output schema
+tool = ExtractTool(llm_output_schema=WebsiteInfo)
+
+result = tool.invoke(
+    {
+        "url": "https://example.com",
+        "prompt": "Extract the title and description",
+    }
+)
+print(result)

examples/monitor_tool.py

@@ -0,0 +1,25 @@
+"""Monitor Tool Example - LangChain Tool (v2 API)
+
+Replaces the old Scheduled Jobs tools. Uses the monitor namespace.
+"""
+
+from langchain_scrapegraph.tools import MonitorCreateTool, MonitorListTool
+
+# Initialize tools
+create_tool = MonitorCreateTool()
+list_tool = MonitorListTool()
+
+# Create a monitor
+result = create_tool.invoke(
+    {
+        "name": "Price Monitor",
+        "url": "https://example.com/products",
+        "prompt": "Extract current product prices",
+        "cron": "0 9 * * *",  # Daily at 9 AM
+    }
+)
+print("Monitor created:", result)
+
+# List all monitors
+monitors = list_tool.invoke({})
+print("All monitors:", monitors)