app.py

import requests
import pandas as pd
import gradio as gr

def scrape_barchart_unusual():
    url = "https://www.barchart.com/proxies/core-api/v1/options/unusual-activity"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123 Safari/537.36",
        "Accept": "application/json",
    }
    params = {
        "assetType": "STOCK",
        "fields": "symbol,optionType,strikePrice,expirationDate,tradeVolume,tradePremium",
        "meta": "field.shortName,field.type",
        "orderBy": "tradePremium",
        "orderDir": "desc",
        "page": 1,
        "limit": 50
    }

    response = requests.get(url, headers=headers, params=params)
    data = response.json()

    if "data" not in data:
        return pd.DataFrame(columns=["Symbol", "Type", "Strike", "Expiry", "Volume", "Premium ($)"])

    rows = []
    for item in data["data"]:
        symbol = item.get("symbol", "")
        opt_type = item.get("optionType", "")
        strike = item.get("strikePrice", "")
        expiry = item.get("expirationDate", "")
        volume = item.get("tradeVolume", "")
        premium = item.get("tradePremium", "")

        rows.append([symbol, opt_type, strike, expiry, volume, f"${premium:,}"])

    df = pd.DataFrame(rows, columns=["Symbol", "Type", "Strike", "Expiry", "Volume", "Premium ($)"])
    return df

with gr.Blocks() as app:
    gr.Markdown("# Barchart Unusual Options Flow (Realtime Top 50)")
    table = gr.Dataframe(scrape_barchart_unusual, every=30, label="Unusual Options Activity")

app.launch(server_name="0.0.0.0", server_port=7860)