166 lines
7.5 KiB
Python
166 lines
7.5 KiB
Python
import os
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import json
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import time
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import logging
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import pandas as pd
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from selenium import webdriver
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from selenium.webdriver.common.by import By
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from selenium.webdriver.chrome.options import Options as ChromeOptions
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.common.exceptions import TimeoutException, NoSuchElementException
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# --- Konfiguration ---
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class Config:
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LOGIN_URL = "https://app.dealfront.com/login"
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TARGET_URL = "https://app.dealfront.com/t/prospector/companies"
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SEARCH_NAME = "Facility Management"
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CREDENTIALS_FILE = "/app/dealfront_credentials.json"
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OUTPUT_DIR = "/app/output"
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# --- Logging Setup ---
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LOG_FORMAT = '%(asctime)s - %(levelname)-8s - %(name)-25s - %(message)s'
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logging.basicConfig(level=logging.INFO, format=LOG_FORMAT, force=True)
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logging.getLogger("selenium.webdriver.remote").setLevel(logging.WARNING)
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logger = logging.getLogger(__name__)
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os.makedirs(Config.OUTPUT_DIR, exist_ok=True)
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log_filepath = os.path.join(Config.OUTPUT_DIR, f"dealfront_run_{time.strftime('%Y%m%d-%H%M%S')}.txt")
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file_handler = logging.FileHandler(log_filepath, mode='w', encoding='utf-8')
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file_handler.setFormatter(logging.Formatter(LOG_FORMAT))
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logging.getLogger().addHandler(file_handler)
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class DealfrontScraper:
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def __init__(self):
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logger.info("Initialisiere WebDriver...")
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chrome_options = ChromeOptions()
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chrome_options.add_argument("--headless=new")
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chrome_options.add_argument("--no-sandbox")
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chrome_options.add_argument("--disable-dev-shm-usage")
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chrome_options.add_argument("--window-size=1920,1200")
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try:
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self.driver = webdriver.Chrome(options=chrome_options)
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except Exception as e:
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logger.critical("WebDriver konnte nicht initialisiert werden.", exc_info=True)
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raise
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self.wait = WebDriverWait(self.driver, 30)
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self.username, self.password = self._load_credentials()
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if not self.username or not self.password:
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raise ValueError("Credentials konnten nicht geladen werden.")
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logger.info("WebDriver erfolgreich initialisiert.")
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def _load_credentials(self):
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try:
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with open(Config.CREDENTIALS_FILE, 'r', encoding='utf-8') as f:
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creds = json.load(f)
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return creds.get("username"), creds.get("password")
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except Exception as e:
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logger.error(f"Credentials-Datei {Config.CREDENTIALS_FILE} konnte nicht geladen werden: {e}")
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return None, None
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def _save_debug_artifacts(self, suffix=""):
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pass # Vorerst deaktiviert, um Logs sauber zu halten
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def login(self):
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try:
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logger.info(f"Navigiere zur Login-Seite: {Config.LOGIN_URL}")
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self.driver.get(Config.LOGIN_URL)
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self.wait.until(EC.visibility_of_element_located((By.NAME, "email"))).send_keys(self.username)
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self.driver.find_element(By.CSS_SELECTOR, "input[type='password']").send_keys(self.password)
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self.driver.find_element(By.XPATH, "//button[normalize-space()='Log in']").click()
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logger.info("Login-Befehl gesendet. Warte auf Session...")
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time.sleep(5)
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if "login" in self.driver.current_url:
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raise Exception("Weiterleitung nach Login fehlgeschlagen.")
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logger.info("Login erfolgreich.")
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return True
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except Exception as e:
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logger.critical("Login-Prozess fehlgeschlagen.", exc_info=True)
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self._save_debug_artifacts("login_exception")
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return False
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def navigate_and_load_search(self, search_name):
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try:
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logger.info(f"Navigiere direkt zur Target-Seite und lade Suche...")
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self.driver.get(Config.TARGET_URL)
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self.wait.until(EC.url_contains("/t/prospector/"))
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search_item_selector = (By.XPATH, f"//div[contains(@class, 'truncate') and normalize-space()='{search_name}']")
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self.wait.until(EC.element_to_be_clickable(search_item_selector)).click()
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logger.info("Suche geladen. Warte auf Ergebnistabelle.")
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self.wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "table#t-result-table tbody tr")))
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return True
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except Exception as e:
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logger.critical("Navigation oder Laden der Suche fehlgeschlagen.", exc_info=True)
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self._save_debug_artifacts("navigation_or_search_load")
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return False
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def scrape_all_pages(self, max_pages=6):
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"""
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Scrollt die Seite schrittweise nach unten und extrahiert neue Daten,
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bis keine neuen Firmen mehr geladen werden oder das Seitenlimit erreicht ist.
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"""
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logger.info("Starte finalen Scroll- und Extraktionsprozess...")
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all_companies = {}
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last_found_count = 0
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for i in range(max_pages * 5): # Mache maximal 5 Scroll-Versuche pro Seite
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page_results = self.extract_current_page_results()
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for company in page_results:
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unique_key = (company.get('name'), company.get('website'))
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all_companies[unique_key] = company
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# Prüfen, ob neue Firmen hinzugekommen sind
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if len(all_companies) > last_found_count:
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logger.info(f"Scrolle... {len(all_companies)} einzigartige Firmen gefunden.")
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last_found_count = len(all_companies)
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self.driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
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time.sleep(3) # Wartezeit für das Nachladen
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else:
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logger.info("Keine neuen Firmen nach dem Scrollen gefunden. Paginierung scheint abgeschlossen.")
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break # Die Schleife beenden, wenn Scrollen keine neuen Ergebnisse bringt
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return list(all_companies.values())
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# Paginierung
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try:
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next_button = self.driver.find_element(By.CSS_SELECTOR, "a.eb-pagination-button:not(.disabled) svg[data-icon='angle-right']")
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self.driver.execute_script("arguments[0].click();", next_button)
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logger.info(f"Klicke auf 'Weiter' zu Seite {page_number + 1}...")
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time.sleep(4) # Feste Wartezeit für den Seitenwechsel
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except NoSuchElementException:
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logger.info("Kein 'Weiter'-Button mehr gefunden. Paginierung abgeschlossen.")
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break
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return list(all_companies.values())
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def close(self):
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if self.driver:
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self.driver.quit()
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if __name__ == "__main__":
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scraper = None
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try:
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scraper = DealfrontScraper()
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if not scraper.login(): raise Exception("Login fehlgeschlagen")
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if not scraper.navigate_and_load_search(Config.SEARCH_NAME): raise Exception("Navigation/Suche fehlgeschlagen")
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all_companies = scraper.scrape_all_pages(max_pages=6)
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if all_companies:
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df = pd.DataFrame(all_companies)
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output_csv_path = os.path.join(Config.OUTPUT_DIR, f"dealfront_results_{time.strftime('%Y%m%d-%H%M%S')}.csv")
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df.to_csv(output_csv_path, index=False, sep=';', encoding='utf-8-sig')
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logger.info(f"Ergebnisse ({len(df)} Firmen) erfolgreich in '{output_csv_path}' gespeichert.")
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else:
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logger.warning("Keine Firmen konnten extrahiert werden.")
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except Exception as e:
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logger.critical(f"Ein kritischer Fehler ist im Hauptprozess aufgetreten: {e}", exc_info=True)
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finally:
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if scraper:
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scraper.close()
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logger.info("Dealfront Automatisierung beendet.") |