# Author - Kristiāns Francis Cagulis # Date - 07.12.2021 # Title - Patstāvīgais darbs "SS.com scraping" from bs4 import BeautifulSoup import requests import pandas as pd from PIL import Image from io import BytesIO from openpyxl.styles import Font, Alignment import openpyxl HEADERS = { "User-Agent": 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.97 Safari/537.36 Vivaldi/4.1.2369.21'} class SS: def __init__(self, url): self.url = url def _get_page_amount(self): page = requests.get(self.url, headers=HEADERS) soup = BeautifulSoup(page.content, 'html.parser') last_url = soup.find(class_='td2').findChild('a')['href'] page_amount = last_url[last_url.find( "page") + 4:last_url.find(".html")] print(f"Page amount = {page_amount}") return int(page_amount) def get_data(self): items = [] images = [] item_no = 1 for page_number in range(1, self._get_page_amount() + 1): url = self.url + f"/page{page_number}.html" page = requests.get(url, headers=HEADERS) soup = BeautifulSoup(page.content, 'html.parser') # item ids ids = [tag['id'] for tag in soup.select('tr[id]')] # creates list with ids # removes "tr_bnr" elements from list ids = [x for x in ids if "tr_bnr" not in x] ids.remove("head_line") # removes first "head_line" id print(f"Page {page_number}") # getting item data for el in soup.find_all(id=ids): print(f"Item {item_no}") item_no += 1 # image image_url = el.find(class_='msga2').find_next_sibling().findChild( 'a').findChild('img')['src'] # gets image url response = requests.get(image_url) img = Image.open(BytesIO(response.content)) images.append(img) print(img) for elem in el.find_all(class_='msga2-o pp6'): items.append(elem.get_text()) # adverts url item_url = el.findChild(class_='msg2').findChild( 'div').findChild('a')['href'] # gets url item_url = "https://www.ss.com" + item_url item_page = requests.get(item_url, headers=HEADERS) item_soup = BeautifulSoup(item_page.content, 'html.parser') # adverts full text item_text = item_soup.find( id='msg_div_msg').get_text() # gets full text # removes text last part (table) item_text = item_text[:item_text.find("Pilsēta:")] items.append(item_text) # adverts publication date # gets all 'msg_footer' class' item_date = item_soup.find_all('td', class_='msg_footer') item_date = item_date[2].get_text() # extracts 3rd element items.append(item_date[8:18]) # crops date chunk_size = 8 # combines each 'chunk_size' elements into array chunked_items_list = [items[i:i + chunk_size] for i in range(0, len(items), chunk_size)] columns = ["Atrašanās vieta", "Istabu skaits", "Kvadratūra", "Stāvs", "Sērija", "Cena", "Pilns sludinājuma teksts", "Izvietošanas datums"] df = pd.DataFrame(chunked_items_list, columns=columns) df.to_excel(excel_writer='output.xlsx', index=False) wb = openpyxl.load_workbook("output.xlsx") ws = wb.worksheets[0] sheet = wb.active # 'I1' cell setup ws['I1'] = "Attēli" ws['I1'].font = Font(bold=True) ws["I1"].alignment = Alignment(horizontal='center', vertical='top') # sets cell width sheet.column_dimensions['A'].width = 20 sheet.column_dimensions['G'].width = 50 sheet.column_dimensions['H'].width = 20 sheet.column_dimensions['I'].width = 13 for i in range(len(images)): sheet.row_dimensions[i + 2].height = 51 # sets cell height # enables word wrap ws[f'G{i + 2}'].alignment = Alignment(wrap_text=True) img = openpyxl.drawing.image.Image(images[i]) ws.add_image(img, f"I{i + 2}") # adds images wb.save("output.xlsx") print("Done") flats = SS("https://www.ss.com/lv/real-estate/flats/riga/all/sell/") flats2 = SS("https://www.ss.com/lv/real-estate/flats/riga-region/all/sell/") def main(): flats.get_data() if __name__ == '__main__': main()