mirror of
https://github.com/VinciGit00/Scrapegraph-ai.git
synced 2026-06-23 21:00:30 +08:00
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
"""
|
|
Basic example of scraping pipeline using SmartScraper from XML documents
|
|
"""
|
|
import os
|
|
from scrapegraphai.graphs import SmartScraperGraph
|
|
from scrapegraphai.utils import convert_to_csv, convert_to_json
|
|
|
|
# ************************************************
|
|
# Read the XML file
|
|
# ************************************************
|
|
|
|
FILE_NAME = "inputs/books.xml"
|
|
curr_dir = os.path.dirname(os.path.realpath(__file__))
|
|
file_path = os.path.join(curr_dir, FILE_NAME)
|
|
|
|
with open(file_path, 'r', encoding="utf-8") as file:
|
|
text = file.read()
|
|
|
|
# ************************************************
|
|
# Define the configuration for the graph
|
|
# ************************************************
|
|
|
|
|
|
graph_config = {
|
|
"llm": {
|
|
"model": "ollama/mistral",
|
|
"temperature": 0,
|
|
"format": "json", # Ollama needs the format to be specified explicitly
|
|
# "model_tokens": 2000, # set context length arbitrarily
|
|
},
|
|
"embeddings": {
|
|
"model": "ollama/nomic-embed-text",
|
|
"temperature": 0,
|
|
}
|
|
}
|
|
|
|
# ************************************************
|
|
# Create the SmartScraperGraph instance and run it
|
|
# ************************************************
|
|
|
|
smart_scraper_graph = SmartScraperGraph(
|
|
prompt="List me all the authors, title and genres of the books",
|
|
source=text, # Pass the content of the file, not the file object
|
|
config=graph_config
|
|
)
|
|
|
|
result = smart_scraper_graph.run()
|
|
print(result)
|
|
|
|
# Save to json or csv
|
|
convert_to_csv(result, "result")
|
|
convert_to_json(result, "result")
|