initial commit

site/scrape-giant.py

@@ -0,0 +1,162 @@
+import json
+import time
+from pathlib import Path
+
+import pandas as pd
+import requests
+from playwright.sync_api import sync_playwright
+
+
+BASE = "https://giantfood.com"
+ACCOUNT_HISTORY_URL = f"{BASE}/account/history/invoice/in-store"
+
+
+def build_session_via_playwright(headless=False):
+    with sync_playwright() as p:
+        browser = p.firefox.launch(headless=headless)
+        page = browser.new_page()
+        page.goto(ACCOUNT_HISTORY_URL, wait_until="networkidle")
+
+        print("log in in the browser window, then press enter here...")
+        input()
+
+        cookies = page.context.cookies()
+        ua = page.evaluate("() => navigator.userAgent")
+        browser.close()
+
+    s = requests.Session()
+    s.headers.update({
+        "user-agent": ua,
+        "accept": "application/json, text/plain, */*",
+        "referer": ACCOUNT_HISTORY_URL,
+    })
+
+    for c in cookies:
+        # requests wants host-only-ish handling; stripping leading dot is usually fine
+        domain = c.get("domain", "").lstrip(".") or "giantfood.com"
+        s.cookies.set(
+            c["name"],
+            c["value"],
+            domain=domain,
+            path=c.get("path", "/"),
+        )
+
+    return s
+
+
+def get_history(session, user_id, loyalty_number, filter_="instore"):
+    url = f"{BASE}/api/v6.0/user/{user_id}/order/history"
+    params = {
+        "filter": filter_,
+        "loyaltyNumber": loyalty_number,
+    }
+    r = session.get(url, params=params, timeout=30)
+    r.raise_for_status()
+    return r.json()
+
+
+def get_order_detail(session, user_id, order_id, is_instore=True):
+    url = f"{BASE}/api/v6.0/user/{user_id}/order/history/detail/{order_id}"
+    params = {"isInStore": str(is_instore).lower()}
+    r = session.get(url, params=params, timeout=30)
+    r.raise_for_status()
+    return r.json()
+
+
+def flatten_orders(history_json, details_jsons):
+    orders_rows = []
+    items_rows = []
+
+    history_records = {
+        rec["orderId"]: rec
+        for rec in history_json.get("records", [])
+    }
+
+    for d in details_jsons:
+        order_id = d["orderId"]
+        hist = history_records.get(order_id, {})
+        pup = d.get("pup", {})
+
+        orders_rows.append({
+            "order_id": order_id,
+            "order_date": d.get("orderDate"),
+            "delivery_date": d.get("deliveryDate"),
+            "service_type": hist.get("serviceType"),
+            "payment_method": d.get("paymentMethod"),
+            "order_total": d.get("orderTotal"),
+            "total_item_count": d.get("totalItemCount"),
+            "total_savings": d.get("totalSavings"),
+            "your_savings_total": d.get("yourSavingsTotal"),
+            "coupons_discounts_total": d.get("couponsDiscountsTotal"),
+            "store_name": pup.get("storeName"),
+            "store_number": pup.get("aholdStoreNumber"),
+            "store_address1": pup.get("storeAddress1"),
+            "store_city": pup.get("storeCity"),
+            "store_state": pup.get("storeState"),
+            "store_zipcode": pup.get("storeZipcode"),
+            "refund_order": d.get("refundOrder"),
+            "ebt_order": d.get("ebtOrder"),
+        })
+
+        for idx, item in enumerate(d.get("items", []), start=1):
+            items_rows.append({
+                "order_id": order_id,
+                "order_date": d.get("orderDate"),
+                "line_no": idx,
+                "pod_id": item.get("podId"),
+                "upc": item.get("primUpcCd"),
+                "item_name": item.get("itemName"),
+                "category_id": item.get("categoryId"),
+                "category_desc": item.get("categoryDesc"),
+                "qty": item.get("shipQy"),
+                "unit": item.get("lbEachCd"),
+                "unit_price": item.get("unitPrice"),
+                "grocery_amount": item.get("groceryAmount"),
+                "picked_weight": item.get("totalPickedWeight"),
+                "mvp_savings": item.get("mvpSavings"),
+                "reward_savings": item.get("rewardSavings"),
+                "coupon_savings": item.get("couponSavings"),
+                "coupon_price": item.get("couponPrice"),
+            })
+
+    return pd.DataFrame(orders_rows), pd.DataFrame(items_rows)
+
+
+def main():
+    user_id = "369513017"          # move to config/env later
+    loyalty_number = "440155630880"  # move to config/env later
+
+    outdir = Path("giant_output")
+    rawdir = outdir / "raw"
+    rawdir.mkdir(parents=True, exist_ok=True)
+
+    session = build_session_via_playwright(headless=False)
+
+    history = get_history(session, user_id, loyalty_number)
+    (rawdir / "history.json").write_text(json.dumps(history, indent=2), encoding="utf-8")
+
+    details = []
+    for rec in history.get("records", []):
+        order_id = rec["orderId"]
+        print("fetching", order_id)
+        detail = get_order_detail(session, user_id, order_id, is_instore=True)
+        details.append(detail)
+        (rawdir / f"{order_id}.json").write_text(json.dumps(detail, indent=2), encoding="utf-8")
+        time.sleep(1.5)  # dont be a goblin
+
+    orders_df, items_df = flatten_orders(history, details)
+    orders_df.to_csv(outdir / "orders.csv", index=False)
+    items_df.to_csv(outdir / "items.csv", index=False)
+
+    # nice optional local db
+    import sqlite3
+    conn = sqlite3.connect(outdir / "giant.sqlite")
+    orders_df.to_sql("orders", conn, if_exists="replace", index=False)
+    items_df.to_sql("items", conn, if_exists="replace", index=False)
+    conn.close()
+
+    print(f"wrote {len(orders_df)} orders and {len(items_df)} items to {outdir}")
+
+
+if __name__ == "__main__":
+    main()