🦂 SlowMO implementation

Implementation

""" 
Basic example of scraping pipeline using SmartScraper
"""
from scrapegraphai.graphs import SmartScraperGraph
from scrapegraphai.utils import prettify_exec_info
# ************************************************
# Define the configuration for the graph
# ************************************************

graph_config = {
    "llm": {
        "model": "ollama/mistral",
        "temperature": 0,
        "format": "json",  # Ollama needs the format to be specified explicitly
        # "base_url": "http://localhost:11434", # set ollama URL arbitrarily
    },
    "embeddings": {
        "model": "ollama/nomic-embed-text",
        "temperature": 0,
        # "base_url": "http://localhost:11434",  # set ollama URL arbitrarily
    },
     "loader_kwargs": {
        "slow_mo": 10000
    },
    "verbose": True,
    "headless": False
}

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

smart_scraper_graph = SmartScraperGraph(
    prompt="List me all the titles",
    # also accepts a string with the already downloaded HTML code
    source="https://www.wired.com/",
    config=graph_config
)

result = smart_scraper_graph.run()
print(result)

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

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