scraper.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qZfoJn1tsN6B"
      },
      "outputs": [],
      "source": [
        "# Connect to drive\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive', force_remount=True)\n",
        "\n",
        "# Check folder files\n",
        "%cd \"/content/drive/Shareddrives/C23-PS139-ML\"\n",
        "%ls -al\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Remove any carriage return\n",
        "!apt-get -qq install -y dos2unix\n",
        "!dos2unix -q \"install_chromium_driver.sh\"\n",
        "\n",
        "# Run script\n",
        "!bash \"install_chromium_driver.sh\"\n"
      ],
      "metadata": {
        "id": "G5dYCTbVXMYP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Required libraries\n",
        "!pip install -Uq selenium selectolax google-colab pandas supabase python-dotenv\n"
      ],
      "metadata": {
        "id": "ahdBrlpYXOlJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
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        },
        "id": "D1vOz8r8DFaO",
        "outputId": "1b061134-d6f1-4f9d-cccf-32798818265c"
      },
      "outputs": [
        {
          "output_type": "display_data",
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      ],
      "source": [
        "import traceback\n",
        "import ast\n",
        "import json\n",
        "import logging\n",
        "import os\n",
        "import random\n",
        "import re\n",
        "import secrets\n",
        "import time\n",
        "from datetime import datetime\n",
        "from logging import Logger\n",
        "from os import environ\n",
        "from pathlib import Path\n",
        "from concurrent.futures import ThreadPoolExecutor, as_completed\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from dotenv import load_dotenv\n",
        "from selectolax.parser import HTMLParser\n",
        "from selenium import webdriver\n",
        "from selenium.common.exceptions import NoSuchElementException, TimeoutException\n",
        "from selenium.webdriver.chrome.webdriver import WebDriver\n",
        "from selenium.webdriver.common.by import By\n",
        "from selenium.webdriver.common.keys import Keys\n",
        "from selenium.webdriver.remote.webelement import WebElement\n",
        "from selenium.webdriver.support import expected_conditions as EC\n",
        "from selenium.webdriver.support.wait import WebDriverWait\n",
        "from supabase import Client, create_client\n",
        "from tqdm.auto import tqdm\n",
        "\n",
        "\n",
        "def get_webdriver() -> WebDriver:\n",
        "    options = webdriver.ChromeOptions()\n",
        "    options.add_argument(\"--verbose\")\n",
        "    options.add_argument(\"--no-sandbox\")\n",
        "    options.add_argument(\"--headless\")\n",
        "    options.add_argument(\"--disable-gpu\")\n",
        "    options.add_argument(\"--window-size=1920, 1200\")  # Fixed size\n",
        "    options.add_argument(\"--disable-dev-shm-usage\")\n",
        "    driver = webdriver.Chrome(options=options)\n",
        "    return driver\n",
        "\n",
        "\n",
        "def get_logger(\n",
        "    name: str,\n",
        "    log_file: str = \"log\",\n",
        "    log_folder: str = \"logs\",\n",
        "    level: int = logging.INFO,\n",
        ") -> Logger:\n",
        "    \"\"\"{log_folder}/{log_name}_{current_time}.log\"\"\"\n",
        "\n",
        "    logger = logging.getLogger(name)\n",
        "    # logger.setLevel(level)\n",
        "\n",
        "    # Set logging level\n",
        "    logging.getLogger(\"urllib3\").setLevel(logging.WARNING)\n",
        "    logging.getLogger(\"selenium\").setLevel(logging.WARNING)\n",
        "\n",
        "    formatter = logging.Formatter(\"%(asctime)s:%(levelname)s:%(name)s: %(message)s\")\n",
        "\n",
        "    current_time = datetime.now().strftime(\"%Y-%m-%d_%H-%M-%S\")\n",
        "\n",
        "    # project_folder = Path(__file__).parent\n",
        "    # logs_folder = project_folder / log_folder\n",
        "    logs_folder = Path(log_folder)\n",
        "\n",
        "    logs_folder.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "    log_file = logs_folder / f\"{log_file}_{current_time}.log\"\n",
        "\n",
        "    # print to file\n",
        "    file_handler = logging.FileHandler(log_file)\n",
        "    file_handler.setLevel(logging.DEBUG)\n",
        "    file_handler.setFormatter(formatter)\n",
        "    logger.addHandler(file_handler)\n",
        "\n",
        "    # log to stram\n",
        "    stream_handler = logging.StreamHandler()\n",
        "    stream_handler.setLevel(logging.CRITICAL)\n",
        "    stream_handler.setFormatter(formatter)\n",
        "    logger.addHandler(stream_handler)\n",
        "\n",
        "    # Remove the default stream handler\n",
        "    logger.propagate = False\n",
        "\n",
        "    return logger\n",
        "\n",
        "\n",
        "def wait_for_element(\n",
        "    driver: WebDriver,\n",
        "    by: By,\n",
        "    value: str,\n",
        "    timeout: int = 2,\n",
        "    retry: int = 0,\n",
        "    max_retry: int = 5,\n",
        "    verbose: bool = False,\n",
        "    logger=None,\n",
        ") -> WebElement:\n",
        "    try:\n",
        "        element = WebDriverWait(driver, timeout).until(\n",
        "            EC.presence_of_element_located((by, value))\n",
        "        )\n",
        "        if verbose:\n",
        "            logger.info(f\"Found element: {value}\")\n",
        "        else:\n",
        "            logger.debug(f\"Found element: {value}\")\n",
        "        return element\n",
        "    except TimeoutException as e:\n",
        "        if retry >= max_retry:\n",
        "            logger.error(f\"Timeout for element: {value}\")\n",
        "            return None\n",
        "        wait_time = 1**retry + secrets.randbelow(100) / 100\n",
        "        if verbose:\n",
        "            logger.debug(\n",
        "                f\"[{retry+1}/{max_retry}] Retrying element: {value}, retry in {wait_time} seconds.\"\n",
        "            )\n",
        "        else:\n",
        "            logger.debug(\n",
        "                f\"[{retry+1}/{max_retry}] Retrying element: {value}, retry in {wait_time} seconds.\"\n",
        "            )\n",
        "        time.sleep(wait_time)\n",
        "        return wait_for_element(\n",
        "            driver, by, value, timeout, retry + 1, max_retry, verbose, logger\n",
        "        )\n",
        "\n",
        "\n",
        "def search_place(driver: WebDriver, keyword: str, city: str, logger=None) -> None:\n",
        "    search_box = wait_for_element(driver, By.CSS_SELECTOR, \"input#searchboxinput\", logger=logger)\n",
        "    search_keyword = \" \".join(f\"{keyword} {city}\".split())\n",
        "    search_box.send_keys(search_keyword + Keys.ENTER)\n",
        "    logger.info(f\"Searching for '{search_keyword}'\")\n",
        "\n",
        "\n",
        "def get_url(driver: WebDriver, url: str, logger=None):\n",
        "    driver.get(url)\n",
        "    logger.debug(f\"Getting url: {url}\")\n",
        "\n",
        "\n",
        "def scrape_data(\n",
        "    driver: WebDriver,\n",
        "    keyword: str,\n",
        "    city: str,\n",
        "    url: str,\n",
        "    max_found_places: int = 50,\n",
        "    logger=None,\n",
        "    keyword_category=None,\n",
        ") -> pd.DataFrame:\n",
        "    get_url(driver, url, logger=logger)\n",
        "    search_place(driver, keyword, city, logger=logger)\n",
        "\n",
        "    big_headline = wait_for_element(\n",
        "        driver,\n",
        "        By.CSS_SELECTOR,\n",
        "        \"h1.DUwDvf.fontHeadlineLarge\",\n",
        "        max_retry=2,\n",
        "        logger=logger,\n",
        "    )\n",
        "\n",
        "    # Scroll to the bottom of the page\n",
        "    logger.info(\"Scrolling google maps\")\n",
        "\n",
        "    search_keyword = \" \".join(f\"{keyword} {city}\".split())\n",
        "\n",
        "    with tqdm(total=max_found_places, desc=f\"Scrolling into {search_keyword}\") as tbar:\n",
        "        actual_num_of_places = 0  # Track the actual number of places found\n",
        "\n",
        "        wait_for_element(\n",
        "            driver,\n",
        "            By.CSS_SELECTOR,\n",
        "            \".Nv2PK.THOPZb.CpccDe\",\n",
        "            logger=logger,\n",
        "            timeout=10,\n",
        "        )\n",
        "\n",
        "        while not big_headline:\n",
        "            tree = HTMLParser(driver.page_source)\n",
        "\n",
        "            a_tags = driver.find_elements(By.CSS_SELECTOR, \"a.hfpxzc\")\n",
        "\n",
        "            # Skip if no more places found\n",
        "            if not a_tags:\n",
        "                break\n",
        "\n",
        "            # Scroll to the last element\n",
        "            driver.execute_script(\"arguments[0].scrollIntoView();\", a_tags[-1])\n",
        "\n",
        "            try:\n",
        "                # Look for last element\n",
        "                WebDriverWait(driver, 10).until_not(\n",
        "                    EC.presence_of_element_located((By.CSS_SELECTOR, \".lXJj5c.Hk4XGb\"))\n",
        "                )\n",
        "            except TimeoutException as e:\n",
        "                # Ignore\n",
        "                pass\n",
        "\n",
        "            tree = HTMLParser(driver.page_source)\n",
        "            end_of_list = tree.css_first(\".m6QErb.tLjsW.eKbjU\")\n",
        "\n",
        "            if (max_found_places and (len(a_tags) >= max_found_places)) or end_of_list:\n",
        "                logger.debug(\"Done scrolling.\")\n",
        "                tbar.total = len(a_tags)\n",
        "                tbar.update(tbar.total - tbar.n)\n",
        "                tbar.set_description(f\"Done scrolling into {search_keyword}\")\n",
        "                break\n",
        "\n",
        "            # Update the progress bar based on the actual number of places found\n",
        "            tbar.total = max(len(a_tags), max_found_places)  # Update total value\n",
        "            tbar.update(len(a_tags) - actual_num_of_places)\n",
        "            actual_num_of_places = len(a_tags)\n",
        "\n",
        "        # Update to make the progress bar full\n",
        "        tbar.total = max(actual_num_of_places, max_found_places)\n",
        "        tbar.n = actual_num_of_places\n",
        "        tbar.set_description(f\"Done scrolling into {search_keyword}, found {tbar.n} places\")\n",
        "\n",
        "    tree = HTMLParser(driver.page_source)\n",
        "    if not big_headline:\n",
        "        a_tags = tree.css(\"a.hfpxzc\")\n",
        "    else:\n",
        "        a_tags = [tree.css_first(\"div.m6QErb.WNBkOb\")]\n",
        "\n",
        "\n",
        "    logger.info(f\"Found {len(a_tags)} places.\")\n",
        "\n",
        "    # Scrape to all places found\n",
        "    num_of_places = max(len(a_tags), max_found_places)\n",
        "\n",
        "\n",
        "    tbar = tqdm(a_tags[:num_of_places], postfix={\n",
        "        \"keyword\": keyword,\n",
        "        \"city\": city,\n",
        "    })\n",
        "    for idx, a_tag in enumerate(a_tags[:num_of_places]):\n",
        "        logger.debug(\n",
        "            f\"------------------- {idx + 1}/{num_of_places} -------------------\"\n",
        "        )\n",
        "\n",
        "        df = pd.DataFrame()\n",
        "\n",
        "        place_url = None\n",
        "        if len(a_tags) > 1:\n",
        "            place_url = a_tag.attributes[\"href\"]\n",
        "            get_url(driver, place_url, logger)\n",
        "            wait_for_element(driver, By.CSS_SELECTOR, 'div[role=\"main\"]', logger=logger)\n",
        "\n",
        "        # ------------------- Overviews -------------------\n",
        "\n",
        "        place_tree = HTMLParser(driver.page_source)\n",
        "        name_element = wait_for_element(\n",
        "            driver, By.CSS_SELECTOR, \"h1.DUwDvf.fontHeadlineLarge\", logger=logger\n",
        "        )\n",
        "\n",
        "        # name = place_tree.css_first(\"h1\").text(strip=True)\n",
        "        try:\n",
        "            name = name_element.text.strip()\n",
        "        except:\n",
        "            name = \"no name\"\n",
        "\n",
        "        logger.debug(f\"Name: {name}\")\n",
        "        tbar.set_description(f\"Scraping {name}\")\n",
        "\n",
        "        # Wait until photos are loaded\n",
        "        img_element = wait_for_element(\n",
        "            driver,\n",
        "            By.CSS_SELECTOR,\n",
        "            \"button.aoRNLd.kn2E5e.NMjTrf.lvtCsd\",\n",
        "            timeout=3,\n",
        "            max_retry=10,\n",
        "            logger=logger,\n",
        "        )\n",
        "\n",
        "        img_url = None\n",
        "        if img_element:\n",
        "            place_tree = HTMLParser(driver.page_source)\n",
        "            photos_element = place_tree.css_first(\".RZ66Rb.FgCUCc button img\")\n",
        "            img_url = photos_element.attributes.get(\"src\")\n",
        "\n",
        "            logger.debug(f\"Image URL: {img_url}\")\n",
        "\n",
        "        # ---------- Rating and Price ----------\n",
        "        rating_element = place_tree.css_first(\".fontBodyMedium.dmRWX\")\n",
        "        rating = None\n",
        "        total_review = None\n",
        "        price = None\n",
        "\n",
        "        if rating_element and rating_element.text(strip=True) != \"\":\n",
        "            spans = rating_element.css(\"span\")\n",
        "            spans = [\n",
        "                span.attributes.get(\"aria-label\").strip()\n",
        "                for span in spans\n",
        "                if span.attributes.get(\"aria-label\")\n",
        "            ]\n",
        "            # spans = ['Bintang 4,7', '2.292 ulasan']\n",
        "            if \"bintang\" in spans[0].lower():\n",
        "                # Bintang 4,5\n",
        "                rating = spans[0].lower().removeprefix(\"bintang\").strip().replace(\",\", \".\")\n",
        "            else:\n",
        "                rating = float(spans[0].lower().removesuffix(\"stars\").strip())\n",
        "\n",
        "            if \"ulasan\" in spans[1].lower():\n",
        "                # 2.867 ulasan\n",
        "                total_review = spans[1].lower().removesuffix(\"ulasan\").strip().replace(\".\", \"\") # gara2 ini\n",
        "            else:\n",
        "                if spans[1].endswith('reviews'):\n",
        "                    total_review = int(spans[1].removesuffix(\"reviews\").strip().replace(\",\", \"\"))\n",
        "                elif spans[1].endswith('review'):\n",
        "                    total_review = int(spans[1].removesuffix(\"review\").strip().replace(\",\", \"\"))\n",
        "\n",
        "            # ---------- Price ----------\n",
        "            if len(spans) > 2:\n",
        "                # Harga: Sedang\n",
        "                if \"price: \" in spans[2].lower():\n",
        "                    price = spans[2].removeprefix(\"Price: \")\n",
        "                elif \"harga: \" in spans[2].lower():\n",
        "                    price = spans[2].removeprefix(\"Harga: \")\n",
        "\n",
        "        logger.debug(f\"Rating: {rating}, Review Count: {total_review}, Price: {price}\")\n",
        "\n",
        "\n",
        "        # ---------- Category ----------\n",
        "        category_element = place_tree.css_first(\"button.DkEaL\")\n",
        "        category = None\n",
        "        if category_element:\n",
        "            category = category_element.text(strip=True)\n",
        "        logger.debug(f\"Category: {category}\")\n",
        "\n",
        "        address_element = place_tree.css_first(\"div.Io6YTe.fontBodyMedium\")\n",
        "        if address_element:\n",
        "            address = address_element.text(strip=True)\n",
        "        else:\n",
        "            address = \"\"\n",
        "        logger.debug(f\"Address: {address}\")\n",
        "        logger.debug(f\"City: {city}\")\n",
        "\n",
        "        table = tree.css_first(\"table.eK4R0e.fontBodyMedium\")\n",
        "        opening_hours = {}\n",
        "        if table:\n",
        "            rows = table.css(\"tr\")\n",
        "            for row in rows:\n",
        "                day = row.css_first(\"td\").text(strip=True)\n",
        "                hours = row.css_first(\".mxowUb\")\n",
        "                hours = hours.attributes[\"aria-label\"]\n",
        "                hours = hours.replace(\"\\u202f\", \"\")\n",
        "                opening_hours.update({day: hours})\n",
        "\n",
        "            logger.debug(f\"Opening Hours: {opening_hours}\")\n",
        "\n",
        "        # ------------------- Reviews -------------------\n",
        "\n",
        "        review_categories = {}\n",
        "        reviews_button = wait_for_element(\n",
        "            driver, By.CSS_SELECTOR, \"button.hh2c6:nth-child(2)\", logger=logger\n",
        "        )\n",
        "        if reviews_button:\n",
        "            reviews_button.click()\n",
        "\n",
        "            detail_tree = HTMLParser(driver.page_source)\n",
        "            review_categories_elements = detail_tree.css(\"button[role=radio].e2moi\")\n",
        "            for review_categories_element in review_categories_elements[1:]:\n",
        "                review_category_text_element = review_categories_element.css_first(\n",
        "                    \".uEubGf.fontBodyMedium\"\n",
        "                )\n",
        "                review_category_count_element = review_categories_element.css_first(\n",
        "                    \".bC3Nkc.fontBodySmall\"\n",
        "                )\n",
        "                review_category_text = (\n",
        "                    review_category_text_element.text(strip=True)\n",
        "                    .replace(\" \", \"_\")\n",
        "                    .lower()\n",
        "                )\n",
        "                review_category_count = review_category_count_element.text(strip=True)\n",
        "                review_categories.update({review_category_text: review_category_count})\n",
        "\n",
        "            logger.debug(f\"Review Categories: {review_categories}\")\n",
        "\n",
        "        # ------------------- About -------------------\n",
        "        about_button = wait_for_element(\n",
        "            driver, By.CSS_SELECTOR, \"button.hh2c6:nth-child(3)\", logger=logger\n",
        "        )\n",
        "        about_dict = {}\n",
        "        if about_button:\n",
        "            about_button.click()\n",
        "\n",
        "            clicked_button = driver.find_element(By.CSS_SELECTOR, \"button.hh2c6.G7m0Af\")\n",
        "            data_tab_index = clicked_button.get_attribute(\"data-tab-index\")\n",
        "            if data_tab_index == \"2\":\n",
        "                logger.debug(\"Clicked about button.\")\n",
        "            else:\n",
        "                logger.error(\n",
        "                    f\"Failed to clicked about button, instead clicked {data_tab_index}\"\n",
        "                )\n",
        "\n",
        "            wait_for_element(\n",
        "                driver,\n",
        "                By.CSS_SELECTOR,\n",
        "                \".m6QErb.DxyBCb.kA9KIf.dS8AEf\",\n",
        "                timeout=10,\n",
        "                max_retry=3,\n",
        "                logger=logger,\n",
        "            )\n",
        "\n",
        "            wait_for_element(\n",
        "                driver,\n",
        "                By.CSS_SELECTOR,\n",
        "                \"div.iP2t7d\",\n",
        "                timeout=10,\n",
        "                max_retry=3,\n",
        "                logger=logger,\n",
        "            )\n",
        "\n",
        "            tree = HTMLParser(driver.page_source)\n",
        "            divs = tree.css(\"div.iP2t7d\")\n",
        "\n",
        "            about_desc = tree.css_first(\"span.HlvSq\")\n",
        "            if about_desc:\n",
        "                about_dict[\"description\"] = about_desc.text(strip=True)\n",
        "\n",
        "            for r_idx, div in enumerate(divs):\n",
        "                about_category = (\n",
        "                    div.css_first(\"h2.iL3Qke\")\n",
        "                    .text(strip=True)\n",
        "                    .replace(\" \", \"_\")\n",
        "                    .lower()\n",
        "                )\n",
        "                li_elements = div.css(\"li\")\n",
        "                about_list = []\n",
        "                about_no_list = []\n",
        "\n",
        "                for li in li_elements:\n",
        "                    img_elements = li.css(\"img\")\n",
        "                    src = img_elements[0].attributes.get(\"src\")\n",
        "                    about_element = li.css(\"span\")\n",
        "                    if src[-31:] == \"not_interested_gm_grey_18dp.png\":\n",
        "                        about_no_list.append(about_element[0].text(strip=True))\n",
        "                    else:\n",
        "                        about_list.append(about_element[0].text(strip=True))\n",
        "                if about_list:\n",
        "                    about_dict[about_category] = about_list\n",
        "                if about_no_list:\n",
        "                    about_dict[f\"No {about_category}\"] = about_no_list\n",
        "\n",
        "            logger.debug(f\"About: {about_dict}\")\n",
        "\n",
        "        tbar.set_description(f\"Scraped {name}\")\n",
        "\n",
        "        # ------------------- to dataframe -------------------\n",
        "\n",
        "        if about_dict:\n",
        "            about_dict = {\n",
        "                key: \", \".join(val).lower().strip()\n",
        "                if isinstance(val, list)\n",
        "                else val.lower().strip()\n",
        "                for key, val in about_dict.items()\n",
        "            }\n",
        "\n",
        "\n",
        "        place_df = pd.DataFrame(\n",
        "            {\n",
        "                \"name\": [name],\n",
        "                \"map_url\": [place_url],\n",
        "                \"img_url\": [img_url],\n",
        "                \"rating\": [rating],\n",
        "                \"total_review\": [total_review],\n",
        "                \"pricing\": [price],\n",
        "                \"address\": [address],\n",
        "                \"city\": [city],\n",
        "                \"category\": [json.dumps(review_categories)],\n",
        "                \"about\": [json.dumps(about_dict)],\n",
        "                \"opening_hours\": [opening_hours],\n",
        "                \"keyword_category\": [[keyword_category]],\n",
        "            }\n",
        "        )\n",
        "\n",
        "        df = pd.concat([df, place_df], ignore_index=True)\n",
        "\n",
        "        tbar.set_description(f\"Saving {name}\")\n",
        "\n",
        "        # if running on windows\n",
        "        if os.name == \"nt\":\n",
        "            csv_dir = Path(\"csv\")\n",
        "            csv_dir.mkdir(parents=True, exist_ok=True)\n",
        "        else:\n",
        "            csv_dir = Path(\"/content\") / \".tmp\" / \"csv\"\n",
        "            csv_dir.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "        save_to_file(df, keyword=name, csv_folder=csv_dir)\n",
        "        tbar.set_description(f\"Saved {name}\")\n",
        "\n",
        "        tbar.update(1)\n",
        "\n",
        "    # last update\n",
        "    # tbar.update(num_of_places - tbar.n)\n",
        "    tbar.set_description(f\"Done scraping {keyword} {city}\")\n",
        "\n",
        "\n",
        "def save_to_file(df: pd.DataFrame, keyword: str, csv_folder: str = \"csv\", logger=None):\n",
        "    csv_folder = Path(csv_folder)\n",
        "    csv_folder.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "    current_time = datetime.now().strftime(\"%Y-%m-%d_%H-%M-%S\")\n",
        "\n",
        "    keyword = keyword.strip().replace(\" \", \"_\").lower()\n",
        "    keyword = re.sub(r\"\\W+\", \"\", keyword)  # Remove non-alphanumeric characters\n",
        "\n",
        "    csv_filename = csv_folder / \"{}_{}.csv\".format(keyword, current_time)\n",
        "\n",
        "    df.to_csv(csv_filename, index=False)\n",
        "\n",
        "\n",
        "def upload_to_database(db_url: str, db_key: str, table_name: str, logger=None, keyword=None, city=None):\n",
        "    supabase: Client = create_client(supabase_url=db_url, supabase_key=db_key)\n",
        "\n",
        "    # if running on windows\n",
        "    if os.name == \"nt\":\n",
        "        csv_dir = Path(\"csv\")\n",
        "    else:\n",
        "        csv_dir = Path(\"/content\") / \".tmp\" / \"csv\"\n",
        "\n",
        "    if not csv_dir.exists():\n",
        "        logger.error(f\"No folder {csv_dir} is found\")\n",
        "        return\n",
        "\n",
        "    filenames = list(csv_dir.glob(\"*.csv\"))\n",
        "\n",
        "    if not filenames:\n",
        "        logger.error(f\"No csv files found in {csv_dir}\")\n",
        "        return\n",
        "\n",
        "    with tqdm(filenames, desc=\"Reading csv files\") as tbar:\n",
        "        new_row_counter = 0\n",
        "        update_row_counter = 0\n",
        "        num_of_error = 0\n",
        "        table = supabase.table(table_name)\n",
        "\n",
        "        for filename in filenames:\n",
        "            try:\n",
        "                tbar.set_description(f\"Reading {filename.name}\")\n",
        "                df_csv = pd.read_csv(filename)\n",
        "                df_csv = df_csv.replace({np.NaN: None, np.nan: None})\n",
        "                records = df_csv.to_dict(\"records\")\n",
        "            except Exception as e:\n",
        "                logger.error(e)\n",
        "                num_of_error += 1\n",
        "                continue\n",
        "\n",
        "            for row in records:\n",
        "                try:\n",
        "                    tbar.set_description(f\"Inserting {filename.name} into database\")\n",
        "                    table.insert(row, upsert=True).execute()\n",
        "                    new_row_counter += 1\n",
        "                    tbar.set_description(f\"Success inserted {filename.name} into database\")\n",
        "\n",
        "                    try:\n",
        "                        os.remove(filename)\n",
        "                        tbar.set_description(f\"Removed {filename.name}\")\n",
        "                    except Exception as e:\n",
        "                        logger.error(e)\n",
        "                        num_of_error += 1\n",
        "                        tbar.set_description(f\"Failed to remove {filename.name}\")\n",
        "                except Exception as e:\n",
        "                    error_dict = dict(ast.literal_eval(e.args[0]))\n",
        "\n",
        "                    # duplicate handling\n",
        "                    if error_dict.get(\"code\") == \"23505\":\n",
        "                        # fetch the existing row\n",
        "                        matching_row = {\n",
        "                            \"name\": row.get(\"name\"),\n",
        "                        }\n",
        "                        existing_data, count = (\n",
        "                            table.select(\"*\").match(matching_row).execute()\n",
        "                        )\n",
        "                        if existing_data:\n",
        "                            existing_row = existing_data[1][0]\n",
        "                            existing_row.pop(\"id\")\n",
        "\n",
        "                            # update with old data (from db)\n",
        "                            # if new value (local) is None\n",
        "                            if existing_row != row:\n",
        "                                update_row_counter += 1\n",
        "                                for key, value in row.items():\n",
        "                                    existing_value = existing_row.get(key)\n",
        "\n",
        "                                    if existing_value == value:\n",
        "                                        continue\n",
        "\n",
        "                                    if key == 'keyword_category' and existing_value is not None:\n",
        "                                        existing_value = eval(existing_value)\n",
        "                                        if isinstance(existing_value, set):\n",
        "                                            existing_value = list(existing_value)\n",
        "\n",
        "                                        value = eval(value) if value is not None else []\n",
        "                                        if isinstance(value, set):\n",
        "                                            value = list(value)\n",
        "\n",
        "                                        value.extend(existing_value)\n",
        "                                        row[key] = list(set(value))\n",
        "                                    elif key == \"keyword_category\":\n",
        "                                        value = eval(value) if value is not None else []\n",
        "                                        if isinstance(value, set):\n",
        "                                            value = list(value)\n",
        "                                        row[key] = value\n",
        "                                    else:\n",
        "                                        row[key] = existing_value or value\n",
        "\n",
        "                                # delete conflicting row\n",
        "                                try:\n",
        "                                    tbar.set_description(\"Deleting row in database\")\n",
        "                                    table.delete().match(matching_row).execute()\n",
        "                                except Exception as e:\n",
        "                                    logger.error(e)\n",
        "                                    num_of_error += 1\n",
        "                                    tbar.set_description(f\"Failed to delete {filename.name}\")\n",
        "\n",
        "                                # re-insert row\n",
        "                                try:\n",
        "                                    tbar.set_description(\"Re-insert with new row from local\")\n",
        "                                    table.insert(row, upsert=True).execute()\n",
        "                                except Exception as e:\n",
        "                                    logger.error(e)\n",
        "                                    num_of_error += 1\n",
        "                                    tbar.set_description(f\"Failed to re-insert {filename.name}\")\n",
        "                            else:\n",
        "                                tbar.set_description(f\"No changes\")\n",
        "                        try:\n",
        "                            os.remove(filename)\n",
        "                            tbar.set_description(f\"Removed {filename.name}\")\n",
        "                        except Exception as e:\n",
        "                            logger.error(e)\n",
        "                            num_of_error += 1\n",
        "                            tbar.set_description(f\"Failed to remove {filename.name}\")\n",
        "                    else:\n",
        "                        logger.error(e)\n",
        "                        num_of_error += 1\n",
        "\n",
        "            tbar.update(1)\n",
        "\n",
        "            tbar.set_postfix({\"new rows\": new_row_counter,\n",
        "                                \"updated rows\": update_row_counter,\n",
        "                                \"error\": num_of_error,\n",
        "                                })\n",
        "        tbar.set_postfix({\"new rows\": new_row_counter,\n",
        "                            \"updated rows\": update_row_counter,\n",
        "                            \"error\": num_of_error,\n",
        "                            \"keyword\": keyword,\n",
        "                            \"city\": city,\n",
        "                            })\n",
        "        tbar.set_description(f\"Done uploading database\")\n",
        "\n",
        "    logger.info(f\"Added {new_row_counter} rows\")\n",
        "    logger.info(f\"Updated {update_row_counter} rows\")\n",
        "\n",
        "\n",
        "def run_scraper(\n",
        "    driver: WebDriver,\n",
        "    keyword: str,\n",
        "    city: str,\n",
        "    url: str = \"https://www.google.com/maps/?hl=id\",\n",
        "    max_found_places: int = 50,\n",
        "    csv_folder: str = \"csv\",\n",
        "    table_name: str = \"gmap_id\",\n",
        "    num: int = 1,\n",
        "    logger=None,\n",
        "    keyword_category=None,\n",
        "):\n",
        "    start_time = datetime.now()\n",
        "\n",
        "    load_dotenv(\"env.env\")\n",
        "\n",
        "    scrape_data(driver, keyword, city, url, max_found_places,\n",
        "                logger=logger, keyword_category=keyword_category)\n",
        "    upload_to_database(\n",
        "        environ.get(\"DB_URL\"), environ.get(\"DB_KEY\"), table_name, logger=logger,\n",
        "        keyword=keyword, city=city,\n",
        "    )\n",
        "\n",
        "    driver.quit()\n",
        "\n",
        "    elapsed_time = datetime.now() - start_time\n",
        "    logger.info(f\"Scraper-{num} elapsed: {elapsed_time}\")\n",
        "\n",
        "\n",
        "def get_coordinate(driver: WebDriver, url: str, logger=None):\n",
        "    return\n",
        "\n",
        "\n",
        "\n",
        "# Example usage:\n",
        "keywords = [\n",
        "    # (\"Rekomendasi tempat wisata di\", \"tempat wisata\"),\n",
        "    # (\"Rekomendasi tempat makan di\", \"tempat makan\"),\n",
        "    (\"Rekomendasi penginapan di\", \"penginapan\"),\n",
        "    # (\"Rekomendasi kegiatan di\", \"kegiatan\"),\n",
        "]\n",
        "\n",
        "cities = [\n",
        "    \"Kabupaten Kepulauan Seribu\",\n",
        "    # \"Kota Jakarta Barat\",\n",
        "    # \"Kota Jakarta Pusat\",\n",
        "    # \"Kota Jakarta Selatan\",\n",
        "    # \"Kota Jakarta Timur\",\n",
        "    \"Kota Jakarta Utara\",\n",
        "    \"Kabupaten Bantul\",\n",
        "    # \"Kabupaten Gunung Kidul\",\n",
        "    # \"Kabupaten Kulon Progo\",\n",
        "    # \"Kabupaten Sleman\",\n",
        "    \"Kota Yogyakarta\",\n",
        "]\n",
        "\n",
        "keyword_city = [\n",
        "    (keyword, keyword_category, city)\n",
        "    for city in  cities\n",
        "    for (keyword, keyword_category) in keywords\n",
        "]\n",
        "\n",
        "# keyword_city = [\n",
        "    # (\"Rekomendasi tempat wisata di\", \"tempat wisata\", \"Kabupaten Kepulauan Seribu\"),\n",
        "    # (\"Rekomendasi tempat wisata di\", \"tempat wisata\", \"Kota Jakarta Pusat\"),\n",
        "    # (\"Rekomendasi tempat wisata di\", \"tempat wisata\", \"Kabupaten Bantul\"),\n",
        "    # (\"Rekomendasi tempat wisata di\", \"tempat wisata\", \"Kabupaten Gunung Kidul\"),\n",
        "    # (\"Rekomendasi tempat wisata di\", \"tempat wisata\", \"Kabupaten Sleman\"),\n",
        "    # (\"Rekomendasi tempat makan di\", \"tempat makan\", \"Kota Yogyakarta\"),\n",
        "    # (\"Rekomendasi penginapan di\", \"penginapan\", \"Kota Jakarta Pusat\"),\n",
        "    # (\"Rekomendasi penginapan di\", \"penginapan\", \"Kota Jakarta Utara\"),\n",
        "    # (\"Rekomendasi penginapan di\", \"penginapan\", \"Kabupaten Sleman\"),\n",
        "    # (\"Rekomendasi kegiatan di\", \"kegiatan\", \"Kota Jakarta Utara\"),\n",
        "    # (\"Rekomendasi kegiatan di\", \"kegiatan\", \"Kabupaten Gunung Kidul\"),\n",
        "    # (\"Rekomendasi kegiatan di\", \"kegiatan\", \"Kabupaten Kulon Progo\"),\n",
        "    # (\"Rekomendasi kegiatan di\", \"kegiatan\", \"Kabupaten Bantul\"),\n",
        "# ]\n",
        "\n",
        "\n",
        "def scrape_keyword(keyword, city, max_found_places, num, keyword_category):\n",
        "    logger = get_logger(f\"scraper-{num}\", log_folder=\"logs\", level=logging.CRITICAL)\n",
        "    driver = get_webdriver()\n",
        "    run_scraper(\n",
        "        driver=driver,\n",
        "        keyword=keyword,\n",
        "        city=city,\n",
        "        url=\"https://www.google.com/maps/@-6.156729,106.725600,15z?hl=id&entry=ttu\", # lupa koma\n",
        "        max_found_places=max_found_places,\n",
        "        num=num,\n",
        "        logger=logger,\n",
        "        keyword_category=keyword_category\n",
        "    )\n",
        "\n",
        "\n",
        "# with tqdm(keyword_city) as tbar:\n",
        "#     for idx, (keyword, keyword_category, city) in enumerate(tbar):\n",
        "#         tbar.set_description(f\"{keyword} {city}\")\n",
        "#         scrape_keyword(keyword, city, 100, idx, keyword_category)\n",
        "\n",
        "# multithreading\n",
        "max_workers = os.cpu_count()\n",
        "\n",
        "with tqdm(keyword_city, desc=\"Processing\") as tbar:\n",
        "    with ThreadPoolExecutor(max_workers=max_workers) as executor:\n",
        "        futures = []\n",
        "\n",
        "        for idx, (keyword, keyword_category, city) in enumerate(keyword_city):\n",
        "            future = executor.submit(scrape_keyword, keyword, city, 150, idx, keyword_category)\n",
        "            futures.append((future, keyword, city))\n",
        "        num_of_error = 0\n",
        "        for future, keyword, city in futures:\n",
        "            try:\n",
        "                tbar.set_description(f\"Processing {keyword} {city}\")\n",
        "                future.result()\n",
        "            except Exception as e:\n",
        "                num_of_error += 1\n",
        "                tbar.set_postfix({\"error\": num_of_error})\n",
        "                print(traceback.format_exc())\n",
        "                pass\n",
        "            finally:\n",
        "                tbar.update(1)"
      ]
    }
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