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scrapegraphai--scrapegraph-ai/examples/extras/custom_prompt.py
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chore: import upstream snapshot with attribution
2026-07-13 12:18:10 +08:00

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Python

"""
Basic example of scraping pipeline using SmartScraper
"""
import json
import os
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
# ************************************************
openai_key = os.getenv("OPENAI_APIKEY")
prompt = "Some more info"
graph_config = {
"llm": {
"api_key": openai_key,
"model": "openai/gpt-3.5-turbo",
},
"additional_info": prompt,
"verbose": True,
"headless": False,
}
# ************************************************
# Create the SmartScraperGraph instance and run it
# ************************************************
smart_scraper_graph = SmartScraperGraph(
prompt="List me all the projects with their description",
# also accepts a string with the already downloaded HTML code
source="https://perinim.github.io/projects/",
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))