Files
Brancheneinstufung2/dealfront_enrichment.py

171 lines
7.8 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"
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_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.")
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=""):
pass # Vorerst deaktiviert, um Logs sauber zu halten
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 auf Session...")
time.sleep(5)
if "login" in self.driver.current_url:
raise Exception("Weiterleitung nach Login fehlgeschlagen.")
logger.info("Login erfolgreich.")
return True
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 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 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 scrape_all_pages(self, max_pages=6):
all_companies = {}
for page_number in range(1, max_pages + 1):
logger.info(f"--- Verarbeite Seite {page_number} ---")
# Scrollen, um alle 20 Zeilen zu laden
scroll_container = self.wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, ".scroll-viewport")))
self.driver.execute_script("arguments[0].scrollTo(0, arguments[0].scrollHeight);", scroll_container)
time.sleep(2) # Pause für das Rendern
# Extraktion
rows = self.driver.find_elements(By.XPATH, "//table[@id='t-result-table']/tbody/tr")
logger.info(f"Finde {len(rows)} <tr>-Elemente. Extrahiere Daten...")
for row in 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
if name not in [c['name'] for c in all_companies.values()]:
all_companies[name] = {'name': name, 'website': website}
except NoSuchElementException:
continue # Ignoriert leere "Geister"-Zeilen
logger.info(f"Seite {page_number} verarbeitet. Gesamt einzigartig: {len(all_companies)}")
# Paginierung
try:
next_button = self.driver.find_element(By.CSS_SELECTOR, "a.eb-pagination-button:not(.disabled) svg[data-icon='angle-right']")
self.driver.execute_script("arguments[0].click();", next_button)
logger.info(f"Klicke auf 'Weiter' zu Seite {page_number + 1}...")
time.sleep(4) # Feste Wartezeit für den Seitenwechsel
except NoSuchElementException:
logger.info("Kein 'Weiter'-Button mehr gefunden. Paginierung abgeschlossen.")
break
return list(all_companies.values())
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)
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.")