├── utils ├── __init__.py └── post_processing.py ├── .python-version ├── images └── example-1.png ├── pyproject.toml ├── LICENSE ├── cache └── df_listings.sample.csv ├── README.md ├── .gitignore ├── collect_list.py ├── fetch_info.py └── uv.lock /utils/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /.python-version: -------------------------------------------------------------------------------- 1 | 3.9 2 | -------------------------------------------------------------------------------- /images/example-1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ceshine/591scraper/main/images/example-1.png -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "web-scraper" 3 | version = "0.1.0" 4 | dependencies = [ 5 | "typer>=0.19.2", 6 | "tqdm>=4.67.1", 7 | "joblib>=1.5.2", 8 | "pandas>=2.3.2", 9 | "requests>=2.32.5", 10 | "tenacity>=9.1.2", 11 | "selenium>=4.35.0", 12 | "beautifulsoup4>=4.13.5", 13 | "lxml>=6.0.2", 14 | ] 15 | requires-python = ">=3.9" 16 | 17 | [dependency-groups] 18 | dev = [ 19 | "ipython>=8.18.1", 20 | ] 21 | -------------------------------------------------------------------------------- /utils/post_processing.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | import pandas as pd 4 | 5 | 6 | def parse_price(price_str: str) -> int: 7 | if price_str == "" or "--" in price_str or "無" in price_str: 8 | return 0 9 | try: 10 | return int(re.match(r"^([\d,]+)\w+", price_str).group(1).replace(",", "")) 11 | except AttributeError: 12 | return 0 13 | 14 | 15 | def auto_marking_(df: pd.DataFrame) -> pd.DataFrame: 16 | df["mark"] = "" 17 | social = df.title.str.contains("社宅") | df.title.str.contains("社會住宅") | df.desc.str.contains("社會住宅") 18 | df.loc[social, "mark"] = "x" 19 | df.loc[df["提供設備"].str.contains("機械車位"), "mark"] = "x" 20 | return df 21 | 22 | 23 | def adjust_price_(df: pd.DataFrame) -> pd.DataFrame: 24 | df["price_adjusted"] = ( 25 | df["price"] * (df["poster"].str.contains("收取服務費").astype("float") * 1 / 24 + 1) 26 | ).astype("int") 27 | df["price_adjusted"] = df["price_adjusted"] + df["管理費"].fillna("").apply(parse_price) 28 | df["price_adjusted"] = df["price_adjusted"] + df["車位費"].fillna("").str.contains("費用另計").astype("int") * 2500 29 | return df 30 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2021 CeShine Lee 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /cache/df_listings.sample.csv: -------------------------------------------------------------------------------- 1 | mark,title,price,price_adjusted,link,addr,社區,車位費,管理費,poster,養寵物,提供設備,格局,坪數,樓層,型態,id,fetched,desc 2 | ,採光一級棒物超所值,4500,4500,https://rent.591.com.tw/rent-detail-11698273.html,北區北安路一段12號,,,無,屋主: 吳太太,No,"冰箱, 洗衣機, 電視, 冷氣, 熱水器, 床, 衣櫃, 第四台, 網路, 桌椅, 1陽台",1房1衛,10坪,4F/5F,公寓,11698273,2021-11-28,"入主單純優質房客 3 | 附近有便利商店、傳統市場、公園綠地、醫療機構、學校、夜市。" 4 | ,東區富農街獨立套房,5000,5000,https://rent.591.com.tw/rent-detail-11636314.html,東區富農街二段43巷,,,,仲介: 莊先生 (收服務費),No,"洗衣機, 冷氣, 熱水器, 衣櫃, 1陽台",1房1衛,6坪,3F/5F,公寓,11636314,2021-11-28,"台水---台電--獨立.附機車位 5 | 附近有便利商店、傳統市場、百貨公司、公園綠地、學校、醫療機構、夜市。" 6 | ,延平市場超大雅房~全新床組、冷氣全新~,6000,6000,https://rent.591.com.tw/rent-detail-11764053.html,北區公園路,,,無,仲介: 陳小姐 (收服務費),No,"冰箱, 洗衣機, 冷氣, 熱水器, 床, 衣櫃, 網路, 桌椅, 1陽台",1房1廳1衛,10坪,3F/4F,透天厝,11764053,2021-11-28,1.超大雅房、通風採光良好，出入方便。2.二樓大廚房可使用。3.全新床組、衣櫥、桌椅，網速100m4.地點絕佳、居住安全無慮。5.歡迎合法居住、單純入住。 ~~歡迎小貓兩隻內，需自備洗衣機喔~~ 7 | ,雙城計畫旁全新裝潢套房,6500,7100,https://rent.591.com.tw/rent-detail-11716266.html,中西區保安路,,,600元/月,代理人: 陳小姐,No,"冷氣, 熱水器, 衣櫃, 電梯",1房1衛,5坪,5F/7F,電梯大樓,11716266,2021-11-28,"暫未添加說明 8 | 附近有便利商店、傳統市場、百貨公司、公園綠地、學校、醫療機構、夜市。" 9 | ,台南市安平區近市政府，2房1衛1浴,6500,6500,https://rent.591.com.tw/rent-detail-11690211.html,安平區永華三街82號,,,無,屋主: 柯女士,No,"冰箱, 洗衣機, 冷氣, 熱水器, 床, 第四台, 網路, 1陽台",2房1廳1衛,25坪,4F/6F,透天厝,11690211,2021-11-28,"1.位於安平區近台南市政府2.2房1衛1浴1陽台，有冷氣3.禁祭祀4.無車庫5.限女性 10 | 附近有便利商店、公園綠地、學校。" 11 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 591 租房網自動抓取腳本 2 | 3 | MIT LICENSE 開源，希望能幫助到有需要的人 4 | 5 | ## Changelog 6 | 7 | ### 2025-09-25 8 | 9 | - 轉換成用 UV 管理 Python 環境 10 | - 更新 scraping 配置 11 | - 物件列表爬取 (`collect_list.py`) 已經測試可用 12 | - 物件詳情 (`fecth_info.py`) **部分可用**，有一些數據欄位已經無法直接爬取 13 | 14 | 591 的防爬蟲機制已經大幅度升級，純 Selenium 解法似乎已經不可行。我已經儘量更新了程式碼，恢復仍可以爬取的欄位，其餘欄位 (如價格、地址) 目前在結果中會是空字串。 15 | 16 | 我可能短期內不會再對這個 repository 進行開發，如果有人知道如何用純 Selenium 繞過防爬蟲限制，歡迎提交 PR 或發個 Issue 告知我。 17 | 18 | ### 2021-12-17 19 | 20 | - 針對 591 網站界面更新進行修改。感謝 [haruzheng 回報](https://github.com/ceshine/591scraper/issues/1)。 21 | - 依據新版界面修正 `collect_list.py`。 22 | - 新版界面由於使用 JS rendering，我們不再能直接使用 requests 抓取物件詳情頁面，所以 `fetch_info.py` 腳本已經改用 Selenium，抓取速度會慢一些。 23 | 24 | ## 使用說明 25 | 26 | ### Prerequisites 27 | 28 | 如果你的系統還沒有 UV，請先安裝：: 29 | 30 | ```bash 31 | curl -LsSf https://astral.sh/uv/install.sh | sh 32 | ``` 33 | 34 | 安裝所需套件 (Python 3.9+)： 35 | 36 | ```bash 37 | uv sync --frozen 38 | ``` 39 | 40 | ~~本腳本使用 [Selenium + Chrome](https://chromedriver.chromium.org/getting-started) 抓取網頁，請按照網頁說明安裝 WebDriver for Chrome。~~ 41 | 42 | 新版 Selenium 會自動下載 Chrome for Testing 和 Chromedriver，無需手動安裝。 43 | 44 | ### Step 1: 抓取符合條件物件列表 45 | 46 | 首先將 591 搜尋頁面的網址存到 `X591URL` 環境變數，範例 (Bash): 47 | 48 | ```bash 49 | export X591URL="https://rent.591.com.tw/?kind=1&order=money&orderType=asc®ion=17&rentprice=10000,18000&other=lift" 50 | ``` 51 | 52 | 以下範例會抓取最多 12 頁搜尋結果： 53 | 54 | ```bash 55 | uv run python collect_list.py --max-pages 12 56 | ``` 57 | 58 | 預設結果存放位置是 `cache/listings.jbl`。 59 | 60 | ### Step 2: 抓取物件詳細資訊 61 | 62 | 直接執行 `fetch_info.py` 以獲取上一步抓取到的物件的詳細資訊，結果預設會存到 `cache/df_listings.csv`。 63 | 64 | ```bash 65 | uv run python fetch_info.py 66 | ``` 67 | 68 | 如果你最近已經有抓過同一個搜尋條件的資料，你可以提供上一次的資料，本腳本會自動跳過已經抓取過的物件，然後在輸出的 CSV 檔案中將新的物件存在舊的前面： 69 | 70 | ```bash 71 | uv run python fetch_info.py --data-path cache/df_listings.csv 72 | ``` 73 | 74 | 你可以同時追蹤多組搜尋條件，你只需要將預設 `df_listings.csv` 名稱改成各自條件的自訂名稱即可。 75 | 76 | ### 使用建議 77 | 78 | 個人推薦使用 LibreOffice Calc 開啓輸出的 CSV 檔案，一般會將 `desc` 欄位隱藏，利用 `mark` 欄位標記出自己感興趣的物件。**記得將修改結果回存到 CSV 檔案，這樣你的修改才會保留在下一次更新的結果中**。 79 | 80 | ![範例圖片](images/example-1.png) 81 | 82 | ## Acknowledgements 83 | 84 | 本組腳本參考了以下開源程式，謹此致謝： 85 | 86 | 1. [開放台灣民間租屋資料 (g0v/tw-rental-house-data)](https://github.com/g0v/tw-rental-house-data) 87 | 2. [591 租屋網 - 租屋資訊爬蟲 (AlanSyue/rent591data)](https://github.com/AlanSyue/rent591data) 88 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pipenv 85 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 86 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 87 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 88 | # install all needed dependencies. 89 | #Pipfile.lock 90 | 91 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 92 | __pypackages__/ 93 | 94 | # Celery stuff 95 | celerybeat-schedule 96 | celerybeat.pid 97 | 98 | # SageMath parsed files 99 | *.sage.py 100 | 101 | # Environments 102 | .env 103 | .venv 104 | env/ 105 | venv/ 106 | ENV/ 107 | env.bak/ 108 | venv.bak/ 109 | 110 | # Spyder project settings 111 | .spyderproject 112 | .spyproject 113 | 114 | # Rope project settings 115 | .ropeproject 116 | 117 | # mkdocs documentation 118 | /site 119 | 120 | # mypy 121 | .mypy_cache/ 122 | .dmypy.json 123 | dmypy.json 124 | 125 | # Pyre type checker 126 | .pyre/ 127 | 128 | # uv 129 | .uv 130 | .uv-cache 131 | 132 | cache 133 | -------------------------------------------------------------------------------- /collect_list.py: -------------------------------------------------------------------------------- 1 | """Collects rental listing IDs from 591.com.tw based on a provided URL. 2 | 3 | This script navigates to a specified 591.com.tw rental listing page, 4 | extracts listing IDs, and saves them to a joblib file. 5 | 6 | It supports pagination to collect IDs from multiple pages. 7 | 8 | Environment Variables: 9 | X591URL: The base URL for the 591.com.tw rental listings. This URL 10 | must contain a 'region' query parameter. 11 | 12 | Functions: 13 | main: The main function to execute the listing collection process. 14 | """ 15 | 16 | import os 17 | from urllib.parse import urlparse, parse_qs, urljoin 18 | 19 | import typer 20 | import joblib 21 | from selenium import webdriver 22 | from selenium.webdriver.support.ui import WebDriverWait 23 | from selenium.webdriver.support import expected_conditions as EC 24 | from selenium.webdriver.common.by import By 25 | from bs4 import BeautifulSoup 26 | 27 | URL = os.environ["X591URL"] 28 | 29 | JS_PATCH = """ 30 | window.addEventListener('beforeunload', function (e) { 31 | // Cancel the event 32 | e.preventDefault(); 33 | // Chrome requires returnValue to be set to an empty string 34 | e.returnValue = ''; 35 | }); 36 | 37 | // Override the history object's methods 38 | window.history.back = function() { console.log('history.back() blocked.'); }; 39 | window.history.forward = function() { console.log('history.forward() blocked.'); }; 40 | window.history.go = function() { console.log('history.go() blocked.'); }; 41 | 42 | // You can also try to lock down the location object. 43 | // Note: Overriding `window.location.href` directly is difficult and not recommended. 44 | // It's better to override the methods that change it. 45 | window.location.assign = function() { console.log('location.assign() blocked.'); }; 46 | window.location.replace = function() { console.log('location.replace() blocked.'); }; 47 | 48 | // Disable the timer that the disable-devtools library uses for its checks. 49 | // This might break other site functionality, but is very effective. 50 | window.setInterval = function() { console.log('setInterval() blocked by Selenium patch.'); }; 51 | """ 52 | 53 | 54 | def navigate_to_a_page(browser: webdriver.Chrome, url: str): 55 | try: 56 | browser.get(url) 57 | # Bypass disable-devtool 58 | browser.execute_script("window.__30f1fb31232ca3e80fba75ceb4253b35__ = true;") 59 | except Exception as e: 60 | print(f"Failed to navigate to the page: {e}") 61 | raise e 62 | 63 | # Second layer of defense 64 | browser.execute_script(JS_PATCH) 65 | typer.echo("✅ Patch applied successfully!") 66 | 67 | # Wait for the "下一頁" (next page) link to be present 68 | # This helps ensure the page content is loaded before we start scraping 69 | try: 70 | WebDriverWait(browser, 10).until(EC.presence_of_element_located((By.LINK_TEXT, "下一頁"))) 71 | typer.echo("Next page link found, page content loaded.") 72 | except Exception: 73 | typer.echo("Next page link not found, proceeding anyway (might be a single page result).") 74 | 75 | # For debugging purposes 76 | # with open("/tmp/ramdisk/tmp.html", "w") as fout: 77 | # _ = fout.write(browser.page_source) 78 | 79 | 80 | def main(output_path: str = "cache/listings.jbl", max_pages: int = 10, quiet: bool = False): 81 | try: 82 | region = parse_qs(urlparse(URL).query)["region"][0] 83 | except (AttributeError, KeyError) as e: 84 | print("The URL must have a 'region' query argument!") 85 | raise e 86 | options = webdriver.ChromeOptions() 87 | if quiet: 88 | options.add_argument("--headless") 89 | 90 | options.add_experimental_option("excludeSwitches", ["enable-automation"]) 91 | options.add_experimental_option("useAutomationExtension", False) 92 | 93 | browser = webdriver.Chrome(options=options) 94 | typer.echo("Browser initialized.") 95 | 96 | # Navigate to the specified URL 97 | navigate_to_a_page(browser, URL) 98 | 99 | listings: set[str] = set() 100 | for i in range(max_pages): 101 | print(f"Page {i + 1}") 102 | soup = BeautifulSoup(browser.page_source, "lxml") 103 | 104 | for item in soup.find_all("div", attrs={"class": "item-info-title"}): 105 | link = item.find("a") 106 | if link is not None and getattr(link, "attrs", None) is not None: 107 | listings.add(link.attrs["href"].split("/")[-1]) 108 | 109 | next_page_link = soup.find("a", string="下一頁") 110 | 111 | if i == max_pages - 1: 112 | typer.echo("Reached maximum pages. Exiting...") 113 | break 114 | 115 | new_link = str(next_page_link.attrs["href"]).strip() 116 | 117 | if not next_page_link or new_link in ("", "#"): 118 | typer.echo("No more pages to scrape. Exiting...") 119 | break 120 | 121 | new_url = urljoin(browser.current_url, new_link) 122 | navigate_to_a_page(browser, new_url) 123 | 124 | # An alternative approach: Click the next page link using Selenium 125 | # browser.find_element(By.LINK_TEXT, "下一頁").click() 126 | 127 | joblib.dump(list(listings), output_path) 128 | print(f"Done! Collected {len(listings)} entries.") 129 | 130 | # Uncomment to pause before closing the browser 131 | # import time 132 | # time.sleep(10) 133 | 134 | browser.quit() 135 | 136 | 137 | if __name__ == "__main__": 138 | typer.run(main) 139 | -------------------------------------------------------------------------------- /fetch_info.py: -------------------------------------------------------------------------------- 1 | import re 2 | import time 3 | import shutil 4 | import random 5 | import logging 6 | from datetime import date 7 | from typing import Optional, Any 8 | 9 | import typer 10 | import joblib 11 | import pandas as pd 12 | from tqdm import tqdm 13 | from bs4 import BeautifulSoup 14 | from selenium import webdriver 15 | from selenium.common.exceptions import TimeoutException 16 | from selenium.webdriver.support.ui import WebDriverWait 17 | from selenium.webdriver.common.by import By 18 | from selenium.webdriver.support import expected_conditions as ec 19 | from tenacity import ( 20 | retry, 21 | stop_after_attempt, 22 | wait_fixed, 23 | before_sleep_log, 24 | RetryError, 25 | retry_if_exception_type, 26 | ) 27 | 28 | from utils.post_processing import adjust_price_, auto_marking_, parse_price 29 | from collect_list import JS_PATCH 30 | 31 | LOGGER = logging.getLogger(__name__) 32 | 33 | 34 | def navigate_to_a_page(browser: webdriver.Chrome, url: str): 35 | try: 36 | browser.get(url) 37 | # Bypass disable-devtool 38 | browser.execute_script("window.__30f1fb31232ca3e80fba75ceb4253b35__ = true;") 39 | except Exception as e: 40 | print(f"Failed to navigate to the page: {e}") 41 | raise e 42 | 43 | # Second layer of defense 44 | browser.execute_script(JS_PATCH) 45 | # typer.echo("✅ Patch applied successfully!") 46 | 47 | # Wait for the "下一頁" (next page) link to be present 48 | # This helps ensure the page content is loaded before we start scraping 49 | WebDriverWait(browser, 10).until(ec.visibility_of_element_located((By.CSS_SELECTOR, "div.title"))) 50 | # typer.echo("Title found, page content loaded.") 51 | 52 | time.sleep(random.random() * 5 + 1) 53 | 54 | # For debugging purposes 55 | # with open("/tmp/ramdisk/tmp.html", "w") as fout: 56 | # _ = fout.write(browser.page_source) 57 | 58 | 59 | class NotExistException(Exception): 60 | pass 61 | 62 | 63 | def get_attributes(soup): 64 | result = {} 65 | try: 66 | result["養寵物"] = "No" if "不可養寵物" in soup.select_one("section.service").text else "Yes" 67 | except AttributeError: 68 | result["養寵物"] = None 69 | contents = soup.select_one("div.house-detail-content-left div.content").children 70 | for item in contents: 71 | try: 72 | name = item.select_one("div span.label").text 73 | if name in ("租金含", "車位費", "管理費"): 74 | result[name] = name = item.select_one("div div.text").text.strip() 75 | except AttributeError as e: 76 | print(e) 77 | continue 78 | service_list = soup.select_one("div.service-facility").select("dl") 79 | services = [] 80 | for item in service_list: 81 | if "del" in item["class"]: 82 | continue 83 | services.append(item.select_one("dd").text.strip()) 84 | result["提供設備"] = ", ".join(services) 85 | # attributes = soup.select_one("div.pattern").find_all("span") 86 | # for i, key in enumerate(("格局", "坪數", "樓層", "型態")): 87 | # result[key] = attributes[i * 2].text.strip() 88 | return result 89 | 90 | 91 | @retry( 92 | reraise=False, 93 | retry=retry_if_exception_type(TimeoutException), 94 | stop=stop_after_attempt(2), 95 | wait=wait_fixed(1), 96 | before_sleep=before_sleep_log(LOGGER, logging.INFO), 97 | ) 98 | def get_page(browser: webdriver.Chrome, listing_id): 99 | navigate_to_a_page(browser, f"https://rent.591.com.tw/home/{listing_id}".strip()) 100 | soup = BeautifulSoup(browser.page_source, "lxml") 101 | title = soup.select_one("div.title") 102 | if title and "不存在" in str(title.text): 103 | raise NotExistException() 104 | return soup 105 | 106 | 107 | def get_listing_info(browser: webdriver.Chrome, listing_id: str): 108 | try: 109 | soup = get_page(browser, listing_id) 110 | except RetryError: 111 | # Still attempt to fetch the page content 112 | typer.echo("RetryError encountered... Trying to parse whatever is on the page.") 113 | soup = BeautifulSoup(browser.page_source, "lxml") 114 | result: dict[str, Any] = {"id": listing_id} 115 | result["title"] = soup.select_one(".title h1").text 116 | result["addr"] = soup.select_one("div.address div").text.strip() if soup.select_one("div.address div") else "" 117 | complex = soup.select_one("div.address p a") 118 | if complex: 119 | result["社區"] = complex.text.strip() 120 | result["price"] = parse_price(soup.select_one("div.house-price").text) 121 | result["desc"] = soup.select_one("div.house-condition-content").text.strip() 122 | result["poster"] = re.sub(r"\s+", " ", soup.select_one("p.base-info-pc").text.strip()) 123 | result.update(get_attributes(soup)) 124 | return result 125 | 126 | 127 | def main( 128 | source_path: str = "cache/listings.jbl", 129 | data_path: Optional[str] = None, 130 | output_path: Optional[str] = None, 131 | limit: int = -1, 132 | headless: bool = False, 133 | ): 134 | listing_ids = joblib.load(source_path) 135 | df_original: Optional[pd.DataFrame] = None 136 | if data_path: 137 | if data_path.endswith(".pd"): 138 | df_original = pd.read_pickle(data_path) 139 | else: 140 | df_original = pd.read_csv(data_path) 141 | listing_ids = list(set(listing_ids) - set(df_original.id.values.astype("str"))) 142 | print(len(listing_ids)) 143 | 144 | if limit > 0: 145 | listing_ids = listing_ids[:limit] 146 | 147 | print(f"Collecting {len(listing_ids)} entries...") 148 | 149 | options = webdriver.ChromeOptions() 150 | if headless: 151 | options.add_argument("--headless") 152 | options.add_experimental_option("excludeSwitches", ["enable-automation"]) 153 | options.add_experimental_option("useAutomationExtension", False) 154 | # Block loading of all images on the web page 155 | prefs = {"profile.managed_default_content_settings.images": 2} 156 | options.add_experimental_option("prefs", prefs) 157 | 158 | browser = webdriver.Chrome(options=options) 159 | 160 | data = [] 161 | for id_ in tqdm(listing_ids, ncols=100): 162 | try: 163 | data.append(get_listing_info(browser, id_)) 164 | except NotExistException: 165 | LOGGER.warning(f"Does not exist: {id_}") 166 | pass 167 | time.sleep(random.random() * 5) 168 | 169 | df_new = pd.DataFrame(data) 170 | optional_fields = ("租金含", "車位費", "管理費") 171 | for field in optional_fields: 172 | if field not in df_new: 173 | df_new[field] = None 174 | df_new = auto_marking_(df_new) 175 | df_new = adjust_price_(df_new) 176 | df_new["fetched"] = date.today().isoformat() 177 | if df_original is not None: 178 | df_new = pd.concat([df_new, df_original], axis=0).reset_index(drop=True) 179 | 180 | if output_path is None and data_path is None: 181 | # default output path 182 | output_path = "cache/df_listings.csv" 183 | elif output_path is None and data_path: 184 | output_path = data_path 185 | shutil.copy(data_path, data_path + ".bak") 186 | 187 | df_new["link"] = "https://rent.591.com.tw/rent-detail-" + df_new["id"].astype("str") + 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