def parse(self, response):
soup = BeautifulSoup(response.body, features="html.parser")
for row in soup.find('div', {
'id': 'tabs-1'
}).findAll('div', class_='listing'):
item = BizscraperItem()
item['Source'] = self.name
item['Listing_Title'] = row.find(
'h2', class_='listing-title').text.strip()
item['Listing_URL'] = row.find(
'h2', class_='listing-title').find('a').attrs['href']
item['Listing_Description'] = row.find(
'div', class_='listing-description').find('p').text.strip()
item['Asking_Price'] = cleanItem(
row.find(
'dd',
class_='listing-overview-item--asking-price').text.strip())
item['Cash_Flow'] = cleanItem(
row.find('dd', class_='listing-overview-item--yearly-profit').
text.strip())
item['Scraped_At'] = datetime.now()
item['Gross_Revenue'] = cleanItem(
row.find('dd', class_='listing-overview-item--yearly-revenue').
text.strip())
item['Category'] = item['Listing_Title'].split(' -')[0].strip()
if item['Asking_Price'] and item[
'Cash_Flow'] and item['Cash_Flow'] > 0:
item['Multiple'] = round(
item['Asking_Price'] / item['Cash_Flow'], 3)
yield item
def parse_detail(self, response):
item = response.meta['item']
soup = BeautifulSoup(response.body, features="html.parser")
info = {}
for row in soup.find('div', class_='sb-table').findAll('div', class_='line'):
info[row.find('div', class_='left').text.strip()] = row.find('div', class_='right').text.strip()
info['Multiple'] = ''
item['Asking_Price'] = cleanItem(info['Asking Price'])
if 'Cash Flow' in info:
item['Cash_Flow'] = cleanItem(info['Cash Flow'])
else:
item['Cash_Flow'] = None
if item['Asking_Price'] and item['Cash_Flow'] and item['Cash_Flow'] > 0:
item['Multiple'] = round(item['Asking_Price']/item['Cash_Flow'], 3)
else:
item['Multiple'] = ''
for key in self.keys:
if key not in info:
info[key] = None
item['Gross_Revenue'] = cleanItem(info['Gross Income'])
# item['Multiple'] = info['Multiple']
item['Year_Established'] = info['Year Established']
item['Employee_Count'] = info['Employees']
item['Listing_Description'] = soup.find('div', class_='cfx').text.strip()
yield item
def parse_list(self, response):
soup = BeautifulSoup(response.body, features="html.parser")
for row in soup.findAll('div', class_='listing-row'):
item_link = row.find('h2')
item = BizscraperItem()
item['Source'] = self.name
item['Listing_Title'] = item_link.text.strip()
item['Listing_URL'] = self.base_url + item_link.find(
'a').attrs['href']
item['Category'] = row.find('div', class_='stats').find(
'span', class_='bold').text.strip()
if item['Category'] == 'Domain':
continue
if row.find('div', class_='domain-pricing'):
item['Asking_Price'] = cleanItem(
row.find('div', class_='domain-pricing').find(
'p').text.strip().replace('K', '000'))
elif row.find('div', class_='regular-pricing'):
item['Asking_Price'] = cleanItem(
row.find('div', class_='regular-pricing').find(
'p').text.strip().replace('K', '000'))
yield scrapy.Request(url=item['Listing_URL'],
cookies=self.custom_cookie,
callback=self.parse_detail,
meta={'item': item},
method="GET")
def parse_list(self, response):
soup = BeautifulSoup(response.body, features="html.parser")
for row in soup.findAll('li', class_='_3B5De'):
item_link = row.find('a', class_='_2OuU9')
item = BizscraperItem()
item['Source'] = self.name
item['Listing_Title'] = item_link.text.strip()
item['Listing_URL'] = self.base_url + item_link.attrs['href']
item['Listing_Description'] = row.find(
'div', class_='_3u-CT').find('p').text.strip()
item['Gross_Revenue'] = cleanItem(
row.findAll('div', class_='_3llXt')[0].text.strip())
item['Scraped_At'] = datetime.now()
if item['Gross_Revenue']:
item['Gross_Revenue'] = item['Gross_Revenue'] * 12
if 'k' in row.findAll('div', class_='_3llXt')[0].text.strip():
item['Gross_Revenue'] = item['Gross_Revenue'] * 1000
item['Cash_Flow'] = cleanItem(
row.findAll('div', class_='_3llXt')[1].text.strip())
if item['Cash_Flow']:
item['Cash_Flow'] = item['Cash_Flow'] * 12
if 'k' in row.findAll('div', class_='_3llXt')[1].text.strip():
item['Cash_Flow'] = item['Cash_Flow'] * 1000
item['Inventory'] = cleanItem(
row.findAll('div', class_='_3llXt')[2].text.strip())
if item['Inventory']:
item['Inventory'] = item['Inventory'] * 12
if 'k' in row.findAll('div', class_='_3llXt')[2].text.strip():
item['Inventory'] = item['Inventory'] * 1000
item['Asking_Price'] = cleanItem(
row.find('div',
class_='_1Pa0r').find('div',
class_='_1uCwB').text.strip())
if item['Asking_Price'] and item[
'Cash_Flow'] and item['Cash_Flow'] > 0:
item['Multiple'] = round(
item['Asking_Price'] / item['Cash_Flow'], 3)
item['Category'] = 'ecommerce'
# print(item)
yield item
def parse_detail(self, response):
item = response.meta['item']
soup = BeautifulSoup(response.body, features="html.parser")
item['Cash_Flow'] = None
item['Gross_Revenue'] = None
item['Multiple'] = None
item['Scraped_At'] = datetime.now()
print(item['Listing_URL'])
if soup.find('div', class_='premium-blocks'):
blocks = soup.find('div', class_='premium-blocks').findAll('div')
for block in blocks:
block_title = block.find('h3').text
if 'Monthly Revenue' in block_title:
item['Gross_Revenue'] = cleanItem(
block.find('span').text.strip()) * 12
elif 'Monthly Profit' in block_title:
item['Cash_Flow'] = cleanItem(
block.find('span').text.strip()) * 12
print('-------------', item['Gross_Revenue'], item['Cash_Flow'],
'-------------')
if item['Asking_Price'] and item[
'Cash_Flow'] and item['Cash_Flow'] > 0:
item['Multiple'] = round(
item['Asking_Price'] / item['Cash_Flow'], 3)
item['Listing_Description'] = ''
if len(soup.findAll('div', class_='content-container')) > 0:
description_container = soup.findAll('div',
class_='content-container')[0]
description = ''
if len(description_container.findAll('p')) == 0:
description = description_container.text.strip().replace(
'Listing Details', '').strip()
else:
for line in description_container.findAll('p'):
description = description + line.text + '\n'
item['Listing_Description'] = description
for link in soup.find('div', class_='pad-3').findAll('a'):
if 'Visit Website' in link.attrs['title']:
item['Website'] = link.attrs['href']
# print(item)
yield item
def parse(self, response):
soup = BeautifulSoup(response.body, features="html.parser")
for item in soup.findAll('div', class_='listing-item'):
wrapper = item.find('div', class_='row')
cols = wrapper.findAll('div', class_='col')
item = BizscraperItem()
item['Source'] = self.name
item['Listing_Title'] = cols[2].find('h5').text.strip()
item['Listing_URL'] = cols[2].find('a').attrs['href']
item['Asking_Price'] = cleanItem(cols[4].text.strip())
item['Cash_Flow'] = cleanItem(cols[5].text.strip()) * 12
item['Multiple'] = round(item['Asking_Price'] / item['Cash_Flow'],
3)
item['Scraped_At'] = datetime.now()
item['Category'] = cols[3].text.strip()
yield scrapy.Request(url=item['Listing_URL'],
callback=self.parse_detail,
meta={'item': item},
method="GET")
def parse_detail(self, response):
item = response.meta['item']
soup = BeautifulSoup(response.body, features="html.parser")
if soup.find('div', class_='sites-summary_left'):
item['Gross_Revenue'] = cleanItem(
soup.find('div', class_='sites-summary_left').find(
'ul').findAll('li')[2].text.strip().replace(
'Monthly Revenue', '')) * 12
print('==================================')
print(item)
print('===================================')
item['Listing_Description'] = soup.find(
'div', class_='sites-summary_left').text.replace(
soup.find('div',
class_='sites-summary_left').find('ul').text, '')
yield item
def parse_detail(self, response):
soup = BeautifulSoup(response.body, features="html.parser")
if soup.find('h1', class_='bfsTitle'):
information_group = soup.findAll('div', class_='specs')
info = {}
for key in self.initial_keys:
info[key] = None
for information in information_group:
for piece in information.findAll('p'):
key = piece.find('span',
class_='title').text.strip().replace(
':', '')
info[key] = piece.find('b').text.strip()
detailed_info = soup.find('dl', class_='listingProfile_details')
flag = True
detailed_info_list = {}
for key in self.detail_keys:
detailed_info_list[key] = None
key = ''
if detailed_info:
for row in detailed_info.findAll():
if '<dt>' in str(row):
flag = True
key = row.text
if '<dd>' in str(row) and flag == True:
flag = False
detailed_info_list[key.replace(':', '')] = row.text
item = BizscraperItem()
item['Source'] = self.name
item['Listing_URL'] = response.meta['detail_url']
item['Listing_Title'] = soup.find('h1',
class_='bfsTitle').text.strip()
item['Listing_Description'] = soup.find(
'div', class_='businessDescription').text.strip()
item['Seller_Financing'] = False
if soup.find('div', {'id': 'seller-financing'}):
item['Seller_Financing'] = True
item['Asking_Price'] = cleanItem(info['Asking Price'])
item['Cash_Flow'] = cleanItem(info['Cash Flow'])
if item['Asking_Price'] and item[
'Cash_Flow'] and item['Cash_Flow'] > 0:
item['Multiple'] = round(
item['Asking_Price'] / item['Cash_Flow'], 3)
item['Gross_Revenue'] = cleanItem(info['Gross Revenue'])
item['EBITDA'] = cleanItem(info['EBITDA'])
item['FF_E'] = cleanItem(info['FF&E'])
item['Inventory'] = cleanItem(info['Inventory'])
item['Year_Established'] = info['Established']
item['Employee_Count'] = detailed_info_list['Employees']
item['Website'] = detailed_info_list['Business Website']
item['Scraped_At'] = datetime.now()
if soup.find('div', {'id': 'others'}):
others = soup.find('div', {'id': 'others'}).findAll('a')
if len(others) > 0:
item['Category'] = others[0].text.replace('for Sale',
'').strip()
if response.meta['location'] and response.meta['location'] != '':
if len(response.meta['location'].split(',')) == 2:
item['Location_County'] = response.meta['location'].split(
',')[0].strip()
item['Location_State'] = response.meta['location'].split(
',')[1].strip()
else:
item['Location_State'] = response.meta['location'].split(
',')[0].strip()
# print(item)
yield item
def parse_detail(self, response):
soup = BeautifulSoup(response.body, features="html.parser")
initial_info = {}
initial_wrapper = soup.find('div', class_='col-md-3')
initial_key = ''
for key in self.initial_keys:
initial_info[key] = None
for item in initial_wrapper.findAll('b'):
flag = True
for key in self.initial_keys:
if key in item.text:
initial_key = key
flag = False
break
if flag:
initial_info[initial_key] = item.text.strip().replace(
'included in asking price', ' included in asking price')
initial_info['Asking Price'] = cleanItem(initial_info['Asking Price'])
initial_info['Cash Flow'] = cleanItem(initial_info['Cash Flow'])
if initial_info['Asking Price'] and initial_info[
'Cash Flow'] and initial_info['Cash Flow'] > 0:
initial_info['Multiple'] = round(
initial_info['Asking Price'] / initial_info['Cash Flow'], 3)
detail_info = {}
detail_wrapper = soup.findAll('dl', class_='dl-horizontal')[0]
detail_key = ''
for key in self.detail_keys:
detail_info[key] = None
for row in detail_wrapper.findAll():
if '<dt>' in str(row):
flag = True
key = row.text.strip()
if '<dd>' in str(row) and flag == True:
flag = False
detail_info[key.replace(':', '')] = row.text.strip()
item = response.meta['item']
item['Seller_Financing'] = False
if soup.find('div',
class_='financing') and 'Seller Financing' in soup.find(
'div', class_='financing').text:
item['Seller_Financing'] = True
breadcrumbs = soup.find('ol', {'id': 'crumbs'}).findAll('li')
item['Category'] = None
if len(breadcrumbs) > 2:
item['Category'] = breadcrumbs[2].text.replace(
'Businesses for Sale', '').strip()
item['Asking_Price'] = initial_info['Asking Price']
item['Cash_Flow'] = initial_info['Cash Flow']
item['Gross_Revenue'] = cleanItem(initial_info['Gross Revenue'])
item['EBITDA'] = cleanItem(initial_info['EBITDA'])
item['FF_E'] = cleanItem(initial_info['FF&E'])
item['Inventory'] = cleanItem(initial_info['Inventory'])
item['Multiple'] = initial_info['Multiple']
item['Year_Established'] = detail_info['Year Established']
item['Employee_Count'] = detail_info['Number of Employees']
item['Website'] = detail_info['Website']
if detail_info['Location']:
if len(detail_info['Location'].split(',')) == 2:
item['Location_County'] = detail_info['Location'].split(
',')[0].strip()
item['Location_State'] = detail_info['Location'].split(
',')[1].strip()
else:
item['Location_State'] = detail_info['Location'].split(
',')[0].strip()
yield item
