Location: Hyderabad, India 
Member since: January 2012
I want the following information on Real Estate companies in Calgary, Alberta, Canada (here's an example http://www.manta.com/ic/mx148ht/ca/mrlc-corp):Company NameAddressWebsitePhone NumberCompany DescriptionSIC CodeNAICS CodeContact NameContact PositionLocation TypeRevenueEmployeesYears in BusinessThis information can be selected using the following code:item['company'] = hxs.select('//h1[@class='company-name']/text()').extract()item['address'] = hxs.select('//div[@itemprop='streetAddress']/text()').extract()item['website'] = hxs.select('//dl[@class='website_info']/dd/span/text()').extract()item['phone'] = hxs.select('//dd[@class='tel']/text()').extract()item['description'] = hxs.select('//p[@itemprop='description']/text()').extract()item['contact_name'] = hxs.select('//span[@itemprop='name']/text()').extract()item['contact_position'] = hxs.select('//em[@itemprop='jobTitle']/text()').extract()item['location_type'] = hxs.select('//table[@class='table-data']/tr[1]/td/text()').extract() item['SIC'] = hxs.select('//table[@class='table-data']/tr[4]/td/text()').extract() item['NAICS'] = hxs.select('//table[@class='table-data']/tr[5]/td/text()').extract()item['revenue'] = hxs.select('//table[@class='table-data']/tr[2]/td/text()').extract()item['employees'] = hxs.select('//table[@class='table-data']/tr[3]/td/text()').extract() item['years_business'] = hxs.select('//table[@class='table-data']/tr[8]/td/text()').extract() This MUST be done using Scrapy, the web crawling framework written in Python.Your deliverable is an excel spreadsheet with the above information on each company. There are 1,355 Real Estate companies in Calgary, Canada, so I'm expecting that many rows.For proof that you scraped the appropriate information I require a screenshot of the excel spreadsheet showing the last 20 rows. If the information on those last 20 companies matches what is found on Manta I will pay you the agreed price in exchange for the excel file.I may have additional work for you if you complete this task successfully.
We have a list of thousands of companies. We're looking to hire someone to help find contact information such as name, titles, email addresses, etc. by looking at the company websites. Compensation of .25 per contact info. Milestones to be paid out $125 per 500 contacts.
I have a website which needs some specific content and I am looking for someone who can crawl the web and extract the required data from the list of websites I provide. I will provide the data spreadsheet templates and I will need this data extracted in this template form.I will provide the source websites and the data elements I need.This is a one time Job and my budget is $100-$150.
This is a simple project and you would need to find 6000 companies' contact number on yellow page AND another given website database.The list of company names and the yellow page will be given to you. The task you need to do is just copy the company name into the search box of yellow page and the other database, search if there's any phone numbers and contact info, fill it into the Excel spreadsheet, and move onto the next company name. There are chances that you can't find any info on the page, in that case, you should just leave them blank.This is a simple project and I expect the freelancer to complete it within a short period of time.
I need to scrape some data from german website: einkaufszentrum (dot com) Take look for menu on the left from Berlin to Bochum, there is a list of shopping malls. I need data:1. City2. Name of Shopping Mall3. Street and number4. Zip Code5. Telephone6. Fax8. Opening hours for Montag (monday)9. Opening hours for Samtad (saturday) - i dont need tueasday to friday, and sunday)10. List of shops (comma separate)11. Website AddressThats all, i dont need other data like email, logo or description, as you can see this is small database, just around 120 entries. I need this in mysql.
