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smart_scraper_with_moonshot

""" 
Basic example of scraping pipeline using SmartScraper and model_instace
"""
import os
import json
from langchain_community.chat_models.moonshot import MoonshotChat
from dotenv import load_dotenv
from scrapegraphai.graphs import SmartScraperGraph
from scrapegraphai.utils import prettify_exec_info

load_dotenv()

# ************************************************
# Define the configuration for the graph
# ************************************************


llm_instance_config = {
"model": "moonshot-v1-8k",
"base_url": "https://api.moonshot.cn/v1",
"moonshot_api_key": os.getenv("MOONLIGHT_API_KEY"),
}


llm_model_instance = MoonshotChat(**llm_instance_config)

graph_config = {
"llm": {
"model_instance": llm_model_instance,
"model_tokens": 10000
},
"verbose": True,
"headless": True,
}

# ************************************************
# Create the SmartScraperGraph instance and run it
# ************************************************

smart_scraper_graph = SmartScraperGraph(
prompt="List me what does the company do, the name and a contact email.",
source="https://scrapegraphai.com/",
config=graph_config
)

result = smart_scraper_graph.run()
print(json.dumps(result, indent=4))

# ************************************************
# Get graph execution info
# ************************************************

graph_exec_info = smart_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))