scrapehero

#!/usr/bin/env python
from re import findall,sub
from lxml import html
from time import sleep
from selenium import webdriver
from pprint import pprint
from xvfbwrapper import Xvfb

def parse(url):
    searchKey = "Las Vegas" # Change this to your city 

scrapehero

from bs4 import BeautifulSoup
from requests import get
from re import sub
from json import loads,dump
from re import findall,sub
from unicodecsv import QUOTE_ALL,DictWriter
totalJobs = []

def getPage(url):
    """ 

scrapehero

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Written as part of https://www.scrapehero.com/how-to-scrape-amazon-product-reviews-using-python/		
from lxml import html  
import json
import requests
import json,re
from dateutil import parser as dateparser
from time import sleep

scrapehero

from lxml import html  
import json
import requests
from exceptions import ValueError
from time import sleep
import re,urllib
import argparse

def parse(url):
	# url = "https://www.yelp.com/biz/frances-san-francisco"

scrapehero

from lxml import html
import csv, os, json
import requests
from exceptions import ValueError
from time import sleep
 
 
def linkedin_companies_parser(url):
    for i in range(5):
        try:

scrapehero

from lxml import html  
import requests
from time import sleep
import json
import argparse
from collections import OrderedDict
from time import sleep

def parse(ticker):
	url = "http://finance.yahoo.com/quote/%s?p=%s"%(ticker,ticker)

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import json
import requests
from lxml import html
from collections import OrderedDict
import argparse

def parse(source,destination,date):
	for i in range(5):
		try:
			url = "https://www.expedia.com/Flights-Search?trip=oneway&leg1=from:{0},to:{1},departure:{2}TANYT&passengers=adults:1,children:0,seniors:0,infantinlap:Y&options=cabinclass%3Aeconomy&mode=search&origref=www.expedia.com".format(source,destination,date)

scrapehero

import argparse
from pprint import pprint
from traceback import format_exc

import requests
import unicodecsv as csv
from lxml import html


def parse(brand):

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from requests import get
from pprint import pprint
from json import dump
from csv import QUOTE_ALL, DictWriter
API_KEY = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'
def address_resolver(json):
    final = {}
    if json['results']:
        data = json['results'][0]
        for item in data['address_components']:

scrapehero

import pytesseract
import sys
import argparse
try:
    import Image
except ImportError:
    from PIL import Image
from subprocess import check_output