initial code

google_reviews_ratings.csv

@@ -0,0 +1,166 @@
+review_id,rating,date_raw,date_approx
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+ChZDSUhNMG9nS0VJQ0FnSUNxdm96Yk5REAE,5,5 lat temu,2021-08-31

reviews.py

@@ -0,0 +1,585 @@
+import re
+import time
+from datetime import datetime, timedelta
+
+import pandas as pd
+from dateutil.relativedelta import relativedelta
+from playwright.sync_api import sync_playwright
+
+
+# ============================================================
+# USTAWIENIA
+# ============================================================
+
+URL = "https://maps.app.goo.gl/USRCto35jhoVtmj4A"
+
+HEADLESS = False
+
+# Ile kolejnych scrolli bez nowych opinii oznacza koniec
+MAX_EMPTY_SCROLLS = 8
+
+# Czas między scrollami
+SCROLL_DELAY = 1.2
+
+
+# ============================================================
+# PARSOWANIE DATY GOOGLE
+# ============================================================
+
+def parse_google_date(text: str):
+    if not text:
+        return None
+
+    text = text.strip().lower()
+    now = datetime.now()
+
+    if text == "dzisiaj":
+        return now.date()
+
+    if text == "wczoraj":
+        return (now - timedelta(days=1)).date()
+
+    patterns = [
+        (r"(\d+)\s+dni?\s+temu", lambda n: now - timedelta(days=n)),
+        (r"(\d+)\s+dzień\s+temu", lambda n: now - timedelta(days=n)),
+        (r"(\d+)\s+tygodni?\s+temu", lambda n: now - timedelta(weeks=n)),
+        (
+            r"(\d+)\s+miesi(?:ąc|ące|ęcy)\s+temu",
+            lambda n: now - relativedelta(months=n)
+        ),
+        (
+            r"(\d+)\s+lat(?:a)?\s+temu",
+            lambda n: now - relativedelta(years=n)
+        ),
+    ]
+
+    for pattern, func in patterns:
+        match = re.search(pattern, text)
+
+        if match:
+            return func(int(match.group(1))).date()
+
+    if "tydzień temu" in text:
+        return (now - timedelta(weeks=1)).date()
+
+    if "miesiąc temu" in text:
+        return (now - relativedelta(months=1)).date()
+
+    if "rok temu" in text:
+        return (now - relativedelta(years=1)).date()
+
+    return None
+
+
+# ============================================================
+# COOKIES
+# ============================================================
+
+def accept_cookies(page):
+    labels = [
+        "Zaakceptuj wszystko",
+        "Accept all",
+        "Odrzuć wszystko",
+        "Reject all",
+    ]
+
+    for label in labels:
+        try:
+            button = page.get_by_role(
+                "button",
+                name=re.compile(label, re.I)
+            )
+
+            if button.count() and button.first.is_visible():
+                button.first.click(timeout=3000)
+                time.sleep(2)
+                return
+        except:
+            pass
+
+
+# ============================================================
+# OTWIERANIE PANELU OPINII
+# ============================================================
+
+def open_reviews_panel(page):
+    print("Szukam właściwego przycisku z opiniami...")
+
+    buttons = page.locator("button")
+
+    for i in range(buttons.count()):
+        try:
+            button = buttons.nth(i)
+
+            if not button.is_visible():
+                continue
+
+            aria = button.get_attribute("aria-label") or ""
+
+            try:
+                text = button.inner_text(timeout=500)
+            except:
+                text = ""
+
+            label = f"{aria} {text}".strip()
+
+            # Musi zawierać liczbę oraz opini/recenz/review
+            if (
+                re.search(r"\d+", label)
+                and re.search(r"(opini|recenz|reviews?)", label, re.I)
+            ):
+                print("Kandydat:", repr(label[:200]))
+
+                try:
+                    button.scroll_into_view_if_needed()
+                    time.sleep(0.5)
+                    button.click(timeout=3000)
+
+                    print("Kliknięto:", repr(label[:200]))
+
+                    time.sleep(3)
+
+                    cards = page.locator('div[data-review-id]')
+
+                    if cards.count() > 5:
+                        print("Panel opinii otwarty.")
+                        return True
+
+                except Exception as e:
+                    print("Nie udało się kliknąć:", e)
+
+        except:
+            continue
+
+    # Fallback dla role=button
+    print("Próbuję alternatywnego selektora...")
+
+    candidates = page.locator(
+        '[role="button"][aria-label*="opini"], '
+        '[role="button"][aria-label*="recenz"], '
+        '[role="button"][aria-label*="review"]'
+    )
+
+    for i in range(candidates.count()):
+        try:
+            el = candidates.nth(i)
+
+            if not el.is_visible():
+                continue
+
+            aria = el.get_attribute("aria-label") or ""
+
+            if not re.search(r"\d+", aria):
+                continue
+
+            print("Klikam:", repr(aria))
+
+            el.scroll_into_view_if_needed()
+            el.click(timeout=3000)
+
+            time.sleep(3)
+
+            cards = page.locator('div[data-review-id]')
+
+            if cards.count() > 5:
+                print("Panel opinii otwarty.")
+                return True
+
+        except:
+            continue
+
+    return False
+
+
+# ============================================================
+# ZNAJDOWANIE SCROLLOWANEGO PANELU
+# ============================================================
+
+def get_scrollable_parent(card):
+    try:
+        return card.evaluate_handle("""
+            el => {
+                let p = el.parentElement;
+
+                while (p) {
+                    const style = getComputedStyle(p);
+
+                    if (
+                        (style.overflowY === 'auto' ||
+                         style.overflowY === 'scroll') &&
+                        p.scrollHeight > p.clientHeight
+                    ) {
+                        return p;
+                    }
+
+                    p = p.parentElement;
+                }
+
+                return null;
+            }
+        """)
+    except:
+        return None
+
+
+# ============================================================
+# OCENA GWIAZDKOWA
+# ============================================================
+
+def extract_rating(card):
+    selectors = [
+        '[role="img"][aria-label*="gwiazd"]',
+        '[aria-label*="gwiazd"]',
+        '[role="img"][aria-label*="star"]',
+        '[aria-label*="star"]',
+        'span.kvMYJc[aria-label]',
+    ]
+
+    for selector in selectors:
+        try:
+            el = card.locator(selector).first
+
+            if not el.count():
+                continue
+
+            label = el.get_attribute("aria-label") or ""
+
+            match = re.search(r"([1-5](?:[.,]\d+)?)", label)
+
+            if match:
+                value = match.group(1).replace(",", ".")
+                return int(float(value))
+
+        except:
+            pass
+
+    return None
+
+
+# ============================================================
+# DATA OPINII
+# ============================================================
+
+def extract_date_text(card):
+    selectors = [
+        ".rsqaWe",
+        "span.rsqaWe",
+    ]
+
+    for selector in selectors:
+        try:
+            el = card.locator(selector).first
+
+            if el.count():
+                text = el.inner_text().strip()
+
+                if text:
+                    return text
+
+        except:
+            pass
+
+    return None
+
+
+# ============================================================
+# ŁADOWANIE WSZYSTKICH OPINII
+# ============================================================
+
+def count_unique_reviews(cards):
+    """Policz opinie, a nie zduplikowane elementy DOM Google Maps."""
+    try:
+        return cards.evaluate_all("""
+            elements => new Set(
+                elements
+                    .map(el => el.getAttribute('data-review-id'))
+                    .filter(Boolean)
+            ).size
+        """)
+    except:
+        return 0
+
+
+def load_all_reviews(page):
+    previous_count = 0
+    empty_scrolls = 0
+
+    print("\nŁadowanie opinii...")
+
+    while empty_scrolls < MAX_EMPTY_SCROLLS:
+        cards = page.locator('div[data-review-id]')
+        count = count_unique_reviews(cards)
+
+        print(
+            f"\rZaładowane opinie: {count}",
+            end="",
+            flush=True
+        )
+
+        if count > previous_count:
+            previous_count = count
+            empty_scrolls = 0
+        else:
+            empty_scrolls += 1
+
+        if count == 0:
+            page.mouse.wheel(0, 5000)
+            time.sleep(SCROLL_DELAY)
+            continue
+
+        last_card = cards.last
+
+        scrollable = get_scrollable_parent(last_card)
+
+        if scrollable:
+            try:
+                scrollable.evaluate("""
+                    el => {
+                        el.scrollTop = el.scrollHeight;
+                    }
+                """)
+            except:
+                page.mouse.wheel(0, 5000)
+        else:
+            try:
+                last_card.scroll_into_view_if_needed()
+            except:
+                page.mouse.wheel(0, 5000)
+
+        time.sleep(SCROLL_DELAY)
+
+    print()
+
+
+# ============================================================
+# ZBIERANIE DANYCH
+# ============================================================
+
+def extract_reviews(page):
+    results = {}
+
+    cards = page.locator('div[data-review-id]')
+
+    unique_count = count_unique_reviews(cards)
+    print(f"\nZbieram dane z {unique_count} unikalnych opinii...")
+
+    for i in range(cards.count()):
+        card = cards.nth(i)
+
+        try:
+            review_id = card.get_attribute("data-review-id")
+
+            if not review_id:
+                continue
+
+            # Deduplikacja
+            if review_id in results:
+                continue
+
+            rating = extract_rating(card)
+
+            if rating is None:
+                continue
+
+            date_raw = extract_date_text(card)
+            date_approx = parse_google_date(date_raw)
+
+            results[review_id] = {
+                "review_id": review_id,
+                "rating": rating,
+                "date_raw": date_raw,
+                "date_approx": date_approx,
+            }
+
+        except Exception as e:
+            print(f"Błąd przy opinii #{i}: {e}")
+
+    return pd.DataFrame(results.values())
+
+
+# ============================================================
+# PODSUMOWANIE
+# ============================================================
+
+def print_summary(df):
+    print("\n==============================")
+    print("ŁĄCZNIE")
+    print("==============================")
+    print(len(df))
+
+    print("\n==============================")
+    print("ROZKŁAD GWIAZDEK")
+    print("==============================")
+
+    distribution = (
+        df["rating"]
+        .value_counts()
+        .reindex([5, 4, 3, 2, 1], fill_value=0)
+    )
+
+    total = len(df)
+
+    for stars, count in distribution.items():
+        percent = (count / total * 100) if total else 0
+
+        print(
+            f"{stars}★: "
+            f"{count:>4} "
+            f"({percent:>5.1f}%)"
+        )
+
+    print("\n==============================")
+    print("ŚREDNIA")
+    print("==============================")
+
+    if len(df):
+        print(round(df["rating"].mean(), 3))
+    else:
+        print("Brak danych")
+
+
+# ============================================================
+# FILTROWANIE PO OKRESIE
+# ============================================================
+
+def print_period_summary(df, date_from=None, date_to=None):
+    temp = df.copy()
+
+    temp["date_approx"] = pd.to_datetime(
+        temp["date_approx"],
+        errors="coerce"
+    )
+
+    if date_from:
+        temp = temp[
+            temp["date_approx"] >= pd.to_datetime(date_from)
+        ]
+
+    if date_to:
+        temp = temp[
+            temp["date_approx"] <= pd.to_datetime(date_to)
+        ]
+
+    print("\n==============================")
+    print(f"OKRES: {date_from} -> {date_to}")
+    print("==============================")
+
+    if temp.empty:
+        print("Brak opinii w tym okresie.")
+        return
+
+    distribution = (
+        temp["rating"]
+        .value_counts()
+        .reindex([5, 4, 3, 2, 1], fill_value=0)
+    )
+
+    print(f"Liczba opinii: {len(temp)}")
+
+    for stars, count in distribution.items():
+        print(f"{stars}★: {count}")
+
+    print("Średnia:", round(temp["rating"].mean(), 3))
+
+
+# ============================================================
+# MAIN
+# ============================================================
+
+def main():
+    with sync_playwright() as p:
+        browser = p.chromium.launch(
+            headless=HEADLESS
+        )
+
+        context = browser.new_context(
+            locale="pl-PL",
+            viewport={
+                "width": 1400,
+                "height": 900,
+            },
+        )
+
+        page = context.new_page()
+
+        print("Otwieram Google Maps...")
+
+        page.goto(
+            URL,
+            wait_until="domcontentloaded",
+            timeout=60_000
+        )
+
+        time.sleep(3)
+
+        accept_cookies(page)
+
+        opened = open_reviews_panel(page)
+
+        if not opened:
+            print(
+                "\nNie udało się automatycznie otworzyć panelu opinii."
+            )
+            print(
+                "Kliknij ręcznie liczbę opinii / „Więcej opinii”."
+            )
+
+            input(
+                "Gdy panel będzie otwarty, naciśnij ENTER..."
+            )
+
+        time.sleep(2)
+
+        cards = page.locator('div[data-review-id]')
+
+        print(
+            "Opinie widoczne po otwarciu panelu:",
+            count_unique_reviews(cards)
+        )
+
+        if count_unique_reviews(cards) < 5:
+            print(
+                "\nUWAGA: panel opinii prawdopodobnie "
+                "nie został poprawnie otwarty."
+            )
+
+            input(
+                "Otwórz ręcznie wszystkie opinie "
+                "i naciśnij ENTER..."
+            )
+
+        load_all_reviews(page)
+
+        df = extract_reviews(page)
+
+        browser.close()
+
+    if df.empty:
+        print("\nNie znaleziono żadnych opinii.")
+        return
+
+    df.to_csv(
+        "google_reviews_ratings.csv",
+        index=False,
+        encoding="utf-8-sig"
+    )
+
+    print_summary(df)
+
+    print("\nZapisano:")
+    print("google_reviews_ratings.csv")
+
+    # ========================================================
+    # PRZYKŁADOWE FILTROWANIE
+    # Odkomentuj jeśli chcesz
+    # ========================================================
+
+    # print_period_summary(
+    #     df,
+    #     "2025-01-01",
+    #     "2025-12-31"
+    # )
+
+
+if __name__ == "__main__":
+    main()