Files
Brancheneinstufung2/dealfront_enrichment.py

213 lines
10 KiB
Python

import os
import json
import time
import logging
import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.options import Options as ChromeOptions
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException, NoSuchElementException
# --- Konfiguration ---
class Config:
LOGIN_URL = "https://app.dealfront.com/login"
TARGET_URL = "https://app.dealfront.com/t/prospector/companies"
SEARCH_NAME = "Facility Management" # <-- PASSEN SIE DIES AN IHRE GESPEICHERTE SUCHE AN
CREDENTIALS_FILE = "/app/dealfront_credentials.json"
OUTPUT_DIR = "/app/output"
# --- Logging Setup ---
LOG_FORMAT = '%(asctime)s - %(levelname)-8s - %(name)-25s - %(message)s'
logging.basicConfig(level=logging.INFO, format=LOG_FORMAT, force=True)
logging.getLogger("selenium.webdriver.remote").setLevel(logging.WARNING)
logger = logging.getLogger(__name__)
os.makedirs(Config.OUTPUT_DIR, exist_ok=True)
log_filepath = os.path.join(Config.OUTPUT_DIR, f"dealfront_run_{time.strftime('%Y%m%d-%H%M%S')}.txt")
file_handler = logging.FileHandler(log_filepath, mode='w', encoding='utf-8')
file_handler.setFormatter(logging.Formatter(LOG_FORMAT))
logging.getLogger().addHandler(file_handler)
class DealfrontScraper:
def __init__(self):
logger.info("Initialisiere WebDriver...")
chrome_options = ChromeOptions()
chrome_options.add_experimental_option("prefs", {"profile.managed_default_content_settings.images": 2})
chrome_options.add_argument("--headless=new")
chrome_options.add_argument("--no-sandbox")
chrome_options.add_argument("--disable-dev-shm-usage")
chrome_options.add_argument("--window-size=1920,1200")
try:
self.driver = webdriver.Chrome(options=chrome_options)
except Exception as e:
logger.critical("WebDriver konnte nicht initialisiert werden.", exc_info=True)
raise
self.wait = WebDriverWait(self.driver, 30)
self.username, self.password = self._load_credentials()
if not self.username or not self.password:
raise ValueError("Credentials konnten nicht geladen werden. Breche ab.")
logger.info("WebDriver erfolgreich initialisiert.")
def _load_credentials(self):
try:
with open(Config.CREDENTIALS_FILE, 'r', encoding='utf-8') as f:
creds = json.load(f)
return creds.get("username"), creds.get("password")
except Exception as e:
logger.error(f"Credentials-Datei {Config.CREDENTIALS_FILE} konnte nicht geladen werden: {e}")
return None, None
def _save_debug_artifacts(self, suffix=""):
try:
timestamp = time.strftime("%Y%m%d-%H%M%S")
filename_base = os.path.join(Config.OUTPUT_DIR, f"error_{suffix}_{timestamp}")
self.driver.save_screenshot(f"{filename_base}.png")
with open(f"{filename_base}.html", "w", encoding="utf-8") as f:
f.write(self.driver.page_source)
logger.error(f"Debug-Artefakte gespeichert: {filename_base}.*")
except Exception as e:
logger.error(f"Konnte Debug-Artefakte nicht speichern: {e}")
def login(self):
try:
logger.info(f"Navigiere zur Login-Seite: {Config.LOGIN_URL}")
self.driver.get(Config.LOGIN_URL)
self.wait.until(EC.visibility_of_element_located((By.NAME, "email"))).send_keys(self.username)
self.driver.find_element(By.CSS_SELECTOR, "input[type='password']").send_keys(self.password)
self.driver.find_element(By.XPATH, "//button[normalize-space()='Log in']").click()
logger.info("Login-Befehl gesendet. Warte 5 Sekunden auf Session-Etablierung.")
time.sleep(5)
# Verifizierung, dass wir nicht mehr auf der Login-Seite sind
if "login" not in self.driver.current_url:
logger.info("Login erfolgreich, URL hat sich geändert.")
return True
self._save_debug_artifacts("login_stuck")
return False
except Exception as e:
logger.critical("Login-Prozess fehlgeschlagen.", exc_info=True)
self._save_debug_artifacts("login_exception")
return False
def navigate_and_load_search(self, search_name):
try:
logger.info(f"Navigiere direkt zur Target-Seite und lade die Suche...")
self.driver.get(Config.TARGET_URL)
self.wait.until(EC.url_contains("/t/prospector/"))
search_item_selector = (By.XPATH, f"//div[contains(@class, 'truncate') and normalize-space()='{search_name}']")
self.wait.until(EC.element_to_be_clickable(search_item_selector)).click()
logger.info("Suche geladen. Warte auf das Rendern der Ergebnistabelle.")
self.wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "table#t-result-table tbody tr")))
return True
except Exception as e:
logger.critical("Navigation oder Laden der Suche fehlgeschlagen.", exc_info=True)
self._save_debug_artifacts("navigation_or_search_load")
return False
def extract_current_page_results(self):
results = []
rows_selector = (By.XPATH, "//table[@id='t-result-table']/tbody/tr[.//a[contains(@class, 't-highlight-text')]]")
try:
data_rows = self.driver.find_elements(*rows_selector)
for row in data_rows:
try:
name = row.find_element(By.CSS_SELECTOR, ".sticky-column a.t-highlight-text").get_attribute("title").strip()
website = "N/A"
try:
website = row.find_element(By.CSS_SELECTOR, "a.text-gray-400.t-highlight-text").text.strip()
except NoSuchElementException:
pass
results.append({'name': name, 'website': website})
except NoSuchElementException:
continue
except Exception as e:
logger.error(f"Fehler bei der Extraktion auf der aktuellen Seite: {e}")
return results
def scrape_all_pages(self, max_pages=10):
"""
Iteriert durch alle Ergebnisseiten, scrollt auf jeder Seite vollständig,
extrahiert die Daten und klickt auf den korrekten "Weiter"-Button.
"""
all_companies = []
for page_number in range(1, max_pages + 1):
logger.info(f"--- Verarbeite Seite {page_number} ---")
# Warten, bis die Tabelle grundsätzlich geladen ist
self.wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "table#t-result-table")))
# --- ROBUSTES SCROLLEN ---
logger.info("Scrolle Seite nach unten, um alle Zeilen zu laden...")
scroll_container = self.driver.find_element(By.CSS_SELECTOR, ".scroll-viewport")
last_height = self.driver.execute_script("return arguments[0].scrollHeight", scroll_container)
while True:
self.driver.execute_script("arguments[0].scrollTo(0, arguments[0].scrollHeight);", scroll_container)
time.sleep(2.5) # Wichtige Pause, damit neue Inhalte nachladen können
new_height = self.driver.execute_script("return arguments[0].scrollHeight", scroll_container)
if new_height == last_height:
break
last_height = new_height
logger.info("Seitenende erreicht, alle Zeilen sollten geladen sein.")
page_results = self.extract_current_page_results()
all_companies.extend(page_results)
logger.info(f"Seite {page_number}: {len(page_results)} Firmen gefunden. Gesamt: {len(all_companies)}")
# --- FINALE PAGINIERUNGS-LOGIK ---
try:
# Eindeutiger XPath für den "Weiter"-Pfeil-Button, der nicht deaktiviert ist
next_button_selector = (By.XPATH, "//a[contains(@class, 'eb-pagination-button') and not(contains(@class, 'disabled')) and .//path[starts-with(@d, 'M8.293')]]")
next_button = self.driver.find_element(*next_button_selector)
# Den Button in den sichtbaren Bereich scrollen, falls er verdeckt ist
self.driver.execute_script("arguments[0].scrollIntoView(true);", next_button)
time.sleep(0.5)
next_button.click()
logger.info(f"Auf Seite {page_number + 1} geblättert...")
# Warten auf das Neuladen der Tabelle
self.wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "table#t-result-table")))
except NoSuchElementException:
logger.info("Kein 'Weiter'-Button mehr gefunden. Paginierung abgeschlossen.")
break
return all_companies
def close(self):
if self.driver:
self.driver.quit()
if __name__ == "__main__":
scraper = None
try:
scraper = DealfrontScraper()
if not scraper.login(): raise Exception("Login fehlgeschlagen")
if not scraper.navigate_and_load_search(Config.SEARCH_NAME): raise Exception("Navigation/Suche fehlgeschlagen")
all_companies = scraper.scrape_all_pages(max_pages=6) # Limitiere auf 6 Seiten
if all_companies:
df = pd.DataFrame(all_companies)
output_csv_path = os.path.join(Config.OUTPUT_DIR, f"dealfront_results_{time.strftime('%Y%m%d-%H%M%S')}.csv")
df.to_csv(output_csv_path, index=False, sep=';', encoding='utf-8-sig')
logger.info(f"Ergebnisse ({len(df)} Firmen) erfolgreich in '{output_csv_path}' gespeichert.")
else:
logger.warning("Keine Firmen konnten extrahiert werden.")
except Exception as e:
logger.critical(f"Ein kritischer Fehler ist im Hauptprozess aufgetreten: {e}", exc_info=True)
finally:
if scraper:
scraper.close()
logger.info("Dealfront Automatisierung beendet.")