Supacrawler Docs
Use Cases

AI News Tracking

Monitor AI research and breakthrough announcements from major sources. Stay updated with the latest AI developments by automatically monitoring research papers, tech blogs, and announcement pages.

APIs Used

This use case primarily leverages the Scrape API for content extraction and the Parse API for AI-powered summarization.

Quick Example

import requests
import os

api_key = os.environ['SUPACRAWLER_API_KEY']

sources = [
    {"url": "https://arxiv.org/list/cs.AI/recent", "selector": ".list-title"},
    {"url": "https://openai.com/news", "selector": "article h3"},
    {"url": "https://ai.googleblog.com/", "selector": ".post-title"}
]

for source in sources:
    requests.post("https://api.supacrawler.com/api/v1/watch",
        headers={"Authorization": f"Bearer {api_key}"},
        json={
            "url": source["url"],
            "frequency": "daily",
            "selector": source["selector"],
            "notify_email": "[email protected]"
        }
    )

Integration with Knowledge Base

from supacrawler import SupacrawlerClient
import openai

client = SupacrawlerClient(api_key=os.environ['SUPACRAWLER_API_KEY'])

result = client.scrape("https://openai.com/news", format="markdown")

summary = openai.chat.completions.create(
    model="gpt-4",
    messages=[{
        "role": "user",
        "content": f"Summarize key AI developments:\n\n{result.content}"
    }]
)

print(summary.choices[0].message.content)

Best Practices

  • Monitor multiple sources for comprehensive coverage
  • Daily checks for research papers, hourly for news
  • Integrate with Slack/Discord for team alerts
  • Store in vector database for RAG applications
  • Filter by keywords for relevant topics

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