236 lines
11 KiB
Python
236 lines
11 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.service import Service
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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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# ==============================================================================
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# TEMPORÄRE, AUTARKE KONFIGURATION
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# ==============================================================================
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class TempConfig:
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# --- Direkt hier definierte Werte, um config.py zu umgehen ---
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DEALFRONT_LOGIN_URL = "https://app.dealfront.com/login"
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TARGET_SEARCH_NAME = "Facility Management" # <-- BITTE AN IHRE SUCHE ANPASSEN
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DEALFRONT_CREDENTIALS_FILE = "/app/dealfront_credentials.json"
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# ==============================================================================
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OUTPUT_DIR = "/app/output"
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)-8s - %(name)-25s - %(message)s', force=True)
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logging.getLogger("selenium").setLevel(logging.WARNING)
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logger = logging.getLogger(__name__)
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log_filename = f"dealfront_run_{time.strftime('%Y%m%d-%H%M%S')}.txt"
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log_filepath = os.path.join(OUTPUT_DIR, log_filename)
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try:
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file_handler = logging.FileHandler(log_filepath, mode='w', encoding='utf-8')
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file_handler.setLevel(logging.DEBUG)
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file_handler.setFormatter(logging.Formatter(LOG_FORMAT))
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logging.getLogger().addHandler(file_handler)
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logger.info(f"Logging konfiguriert. Log-Datei: {log_filepath}")
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except Exception as e:
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logger.error(f"Konnte Log-Datei nicht erstellen: {e}")
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class DealfrontScraper:
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def __init__(self):
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logger.info("Initialisiere den DealfrontScraper...")
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chrome_options = ChromeOptions()
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prefs = {"profile.managed_default_content_settings.images": 2}
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chrome_options.add_experimental_option("prefs", prefs)
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chrome_options.add_argument("--headless")
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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=1920,1080")
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service = Service(executable_path='/usr/bin/chromedriver')
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try:
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self.driver = webdriver.Chrome(service=service, options=chrome_options)
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except Exception as e:
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logger.critical(f"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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logger.info("WebDriver erfolgreich initialisiert.")
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def _load_credentials(self):
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try:
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with open(TempConfig.DEALFRONT_CREDENTIALS_FILE, 'r') 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 konnte nicht geladen werden: {e}")
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return None, None
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def _save_debug_artifacts(self):
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# ... (Diese Methode bleibt unverändert) ...
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try:
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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timestamp = time.strftime("%Y%m%d-%H%M%S")
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screenshot_filepath = os.path.join(OUTPUT_DIR, f"error_{timestamp}.png")
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html_filepath = os.path.join(OUTPUT_DIR, f"error_{timestamp}.html")
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self.driver.save_screenshot(screenshot_filepath)
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logger.error(f"Screenshot '{screenshot_filepath}' wurde für die Analyse gespeichert.")
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with open(html_filepath, "w", encoding="utf-8") as f:
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f.write(self.driver.page_source)
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logger.error(f"HTML-Quellcode '{html_filepath}' wurde für die Analyse gespeichert.")
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except Exception as e:
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logger.error(f"Konnte Debug-Artefakte nicht speichern: {e}")
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def login_and_find_list(self, search_name):
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# ... (Diese Methode bleibt unverändert, verwendet aber jetzt TempConfig) ...
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try:
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logger.info(f"Navigiere zur Login-Seite: {TempConfig.DEALFRONT_LOGIN_URL}")
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self.driver.get(TempConfig.DEALFRONT_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.")
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logger.info("Warte auf Dashboard und den 'Prospects finden' Quick-Link...")
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prospects_link_selector = (By.XPATH, "//a[@data-test-target-product-tile]")
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prospects_link = self.wait.until(EC.element_to_be_clickable(prospects_link_selector))
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prospects_link.click()
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logger.info("'Prospects finden' geklickt.")
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logger.info(f"Warte auf die Liste der Suchen und klicke auf '{search_name}'...")
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search_item_selector = (By.XPATH, f"//div[contains(@class, 'truncate') and normalize-space()='{search_name}']")
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search_item = self.wait.until(EC.element_to_be_clickable(search_item_selector))
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search_item.click()
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logger.info(f"Suche '{search_name}' geladen. Warte auf das Rendern der Ergebnistabelle.")
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first_row_locator = (By.CSS_SELECTOR, ".sticky-column a.t-highlight-text")
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self.wait.until(
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EC.visibility_of_element_located(first_row_locator)
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)
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time.sleep(5)
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logger.info("Zielseite mit Ergebnissen erfolgreich erreicht.")
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return True
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except Exception as e:
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logger.critical(f"Der Prozess ist fehlgeschlagen: {type(e).__name__}", exc_info=True)
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self._save_debug_artifacts()
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return False
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def extract_current_page_results(self):
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# 1) Kurzes Absenken des Implicit-Waits
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self.driver.implicitly_wait(1)
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# 2) Warten auf erstes Firmen-Element
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first_row_locator = (By.CSS_SELECTOR, ".sticky-column a.t-highlight-text")
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self.wait.until(EC.visibility_of_element_located(first_row_locator))
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time.sleep(1)
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logger.info("Extrahiere Ergebnisse von der aktuellen Seite...")
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results = []
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# 3) Warten auf mindestens eine Tabellenzeile
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rows_selector = (By.CSS_SELECTOR, "table#t-result-table tbody tr[id]")
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self.wait.until(EC.presence_of_all_elements_located(rows_selector))
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rows = self.driver.find_elements(*rows_selector)
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logger.info(f"{len(rows)} Firmen-Zeilen gefunden.")
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# 4) Daten sammeln, ohne weitere Sleeps/Exceptions
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for i, row in enumerate(rows, 1):
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name_elems = row.find_elements(By.CSS_SELECTOR, ".sticky-column a.t-highlight-text")
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if not name_elems:
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logger.warning(f"Zeile {i}: Kein Name-Element gefunden. Überspringe.")
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continue
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name_elem = name_elems[0]
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company_name = (name_elem.get_attribute("title") or name_elem.text).strip()
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web_elems = row.find_elements(By.CSS_SELECTOR, "td:nth-of-type(3) a")
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if web_elems:
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website = web_elems[0].text.strip()
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else:
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cell = row.find_elements(By.CSS_SELECTOR, "td:nth-of-type(3)")
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website = cell[0].text.strip() if cell else ""
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results.append({'name': company_name, 'website': website})
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logger.info(f"Extraktion abgeschlossen: {len(results)} Firmen.")
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return results
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def click_next_page(self) -> bool:
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"""
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Klickt auf den 'Next'-Paginator-Button.
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Gibt False zurück, wenn kein Next-Button (mehr) klickbar ist.
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"""
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# alle Buttons (Prev, Seiten, Next) abgreifen
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buttons = self.driver.find_elements(By.CSS_SELECTOR, "nav.eb-pagination a.eb-pagination-button")
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next_btn = buttons[-1] # letzter ist Next
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# Ist er deaktiviert?
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if not next_btn.is_enabled() or "disabled" in next_btn.get_attribute("class"):
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return False
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# Merke aktuelle Seite
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current = self.driver.find_element(
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By.CSS_SELECTOR,
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"nav.eb-pagination a.eb-pagination-button.active"
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).text
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next_btn.click()
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# Warte, bis die aktive Seite sich ändert
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WebDriverWait(self.driver, 10).until(
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lambda d: d.find_element(
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By.CSS_SELECTOR,
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"nav.eb-pagination a.eb-pagination-button.active"
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).text != current
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)
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return True
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def run(self, search_name):
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# 1) Login & Suche laden
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self.login_and_find_list(search_name)
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# 2) Alle Seiten durchgehen
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all_results = []
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while True:
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page_results = self.extract_current_page_results()
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all_results.extend(page_results)
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if not self.click_next_page():
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break
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return all_results
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if __name__ == "__main__":
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logger.info("Starte Dealfront Automatisierung - DEBUG-MODUS")
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scraper = None
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try:
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scraper = DealfrontScraper(driver, wait)
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results = scraper.run("Facility Management")
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if not scraper.driver:
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raise Exception("WebDriver konnte nicht initialisiert werden.")
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if not scraper.login_and_find_list(TempConfig.TARGET_SEARCH_NAME):
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raise Exception("Der Prozess vom Login bis zum Laden der Liste ist fehlgeschlagen.")
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# In dieser Version gibt es keine handle_overlays Methode mehr
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# scraper.handle_overlays()
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companies = scraper.extract_current_page_results()
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if companies:
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df = pd.DataFrame(companies)
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pd.set_option('display.max_rows', None)
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pd.set_option('display.max_columns', None)
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pd.set_option('display.width', 1000)
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pd.set_option('display.max_colwidth', None)
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print("\n" + "="*80)
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print(" EXTRAHIERTE FIRMEN (ERSTE SEITE) ".center(80, "="))
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print("="*80)
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print(df.to_string(index=False))
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print("="*80 + "\n")
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else:
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logger.warning("Obwohl die Seite geladen wurde, konnten keine Firmen extrahiert werden.")
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logger.info("Test erfolgreich abgeschlossen. Warte vor dem Schließen...")
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time.sleep(10)
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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=False)
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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.") |