Simple Spider AI scrape example

spider_ai_scrape.py

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "python-dotenv>=1.1.0",
#     "requests>=2.31.0",
# ]
# ///

"""Simple Spider AI scrape — sends a URL + natural-language prompt to /ai/scrape and prints structured output.

Run: uv run ai_scrape.py [--url URL] [--prompt TEXT]
"""

import os
import json
import argparse

import dotenv
import requests

dotenv.load_dotenv()

SPIDER_API_KEY = os.environ.get("SPIDER_API_KEY")
SPIDER_AI_URL = "https://api.spider.cloud/ai/scrape"

DEFAULT_URL = "https://www.unr.edu/business/faculty-and-staff/barfar-arash"
DEFAULT_PROMPT = "Extract the comprehensive faculty data from this profile page. Format as JSON with fields: name, email, bio, research_interests."

FACULTY_SCHEMA = {
    "name": "FacultyDetails",
    "description": "Comprehensive faculty information from a profile page",
    "schema": json.dumps({
        "type": "object",
        "properties": {
            "name": {"type": "string"},
            "email": {"type": "string"},
            "bio": {"type": "string"},
            "research_interests": {"type": "string"},
        },
        "required": ["name", "email"],
    }),
}


def ai_scrape(url: str, prompt: str, schema: dict | None = None) -> dict:
    """POST to Spider's AI scrape endpoint and return the parsed JSON response."""
    headers = {
        "Authorization": f"Bearer {SPIDER_API_KEY}",
        "Content-Type": "application/json",
    }
    payload: dict = {
        "url": url,
        "prompt": prompt
    }
    if schema:
        payload["extraction_schema"] = schema

    resp = requests.post(SPIDER_AI_URL, headers=headers, json=payload, timeout=(30, 180))
    resp.raise_for_status()
    return resp.json()


def main() -> None:
    parser = argparse.ArgumentParser(description="Spider AI scrape demo")
    parser.add_argument("--url", default=DEFAULT_URL, help="URL to scrape")
    parser.add_argument("--prompt", default=DEFAULT_PROMPT, help="Natural-language extraction prompt")
    parser.add_argument("--no-schema", action="store_true", help="Skip the JSON schema (free-form extraction)")
    args = parser.parse_args()

    if not SPIDER_API_KEY:
        raise SystemExit("SPIDER_API_KEY not set in environment (.env)")

    print(f"URL:    {args.url}")
    print(f"Prompt: {args.prompt}\n")

    result = ai_scrape(args.url, args.prompt, schema=None if args.no_schema else FACULTY_SCHEMA)
    print(json.dumps(result, indent=2, ensure_ascii=False))


if __name__ == "__main__":
    main()

URL: https://www.unr.edu/business/faculty-and-staff/barfar-arash
Prompt: Extract the comprehensive faculty data from this profile page. Format as JSON with fields: name, email, bio, research_interests.

[
{
"costs": {
"ai_cost": 0.0017767500000000003,
"ai_cost_formatted": "0.0017767500000000001847411113",
"bytes_transferred_cost": 0.00184183515,
"bytes_transferred_cost_formatted": "0.0018418351500000000221689334",
"compute_cost": 3.9403333333333336e-05,
"compute_cost_formatted": "0.0000394033333333333346537586",
"file_cost": 8.3718e-05,
"file_cost_formatted": "0.0000837179999999999924220617",
"total_cost": 0.003741706483333334,
"total_cost_formatted": "0.0037417064833333335339858650",
"transform_cost": 0.0,
"transform_cost_formatted": "0"
},
"duration_elasped_ms": 23642,
"error": null,
"metadata": {
"extracted_data": [
{
"content_output": {
"bio": "Arash “Archer” Barfar is an Associate Professor of Information Systems and Director of the PhD Program. Archer’s work in academia is guided by a singular principle voiced by Marcus Aurelius: "Whatever I do, either by myself or with another, should focus solely on that which is useful and well suited to society." Grounded in this ideal, his research focuses on how AI can be harnessed to advance social good—or restrained to prevent societal harm. His work has appeared in leading journals including Decision Support Systems (twice), Journal of the American Medical Informatics Association, Information Processing & Management, Expert Systems with Applications (twice), Computers in Human Behavior, and Big Data (twice). Archer has designed and delivered advanced coursework at the graduate and doctoral levels in machine learning, predictive analytics, and data-driven decision-making. He holds a PhD in Information Systems from the University of South Florida.",
"email": "abarfar@unr.edu",
"name": "Arash "Archer" Barfar",
"research_interests": "Research focuses on how AI can be harnessed to advance social good—or restrained to prevent societal harm."
},
"error": null,
"input": "Extracted faculty information from profile page",
"screenshot_output": 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}
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