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Linkedin & YP companies scraper / spider / data extractor

I am looking for a data extractor / scraper. I need all the companies and people under Linkedin with the keywords:TAX,CPA,DEBT,LOAN MOD,LOAN MODIFICATION,TAX RESOLUTION,TAX RELIEF,TRASH, TRASH REMOVAL,""SERVICE,""COMPANY,""PICK UP,""HAULING,""DISPOSAL,""CONTAINER ("" is TRASH)

DUMPSTER,DUMPSTER RENTAL,DUMPSTER ROLL OFF,DUMPSTER,DUMP,DUMP TRUCK COMPANY,DUMPSTER RENTAL SERVICE,DUMP TRAILER,DUMPSTER SITE,JUNK REMOVAL,REFUSE SITE,REFUSE DUMPSTER. to be put in a database with the details below. The project is for companies in the US(which are most of the companies in Linkedin), (criteria available in the companies search page). Details to be extracted are: (sometimes one or more of these sections do not exist on the company page)

- The name of the company

- "Overview” section

- Number of "followers"

- "HQ Region" - city and country need to be extracted in separate columns

- "Industry"

- "Type"

- "Status"

- "Company Size"

- "Website"

- "Revenue"

- "Founded"

- A link towards the linked-in profile of the company (please save the profile locally)

- Number of "Current Employees" registered on linkedin

- "Parent company" name

- "Headquarters Address": in one column please put the overall address, in another one please extract the Country only of that field

- Name

- Email Address

- Phone number

It will return about ??? results I think, to be put in an Excel spreadsheet. The person needs to have already done something similar with Linkedin and must know how to do that precisely. The person must be familiar with linkedin limits - both in terms of search results (500, so the program will need to break down the search per country, industry and company size to be sure to grab every single company) and in terms of the number of company pages that can be accessed on a given timeframe from an account / IP address (I do not know if there is any limit of that type in Linkedin).

Project needs to be done in the next 24 hours. This is a very easy task and easy money for someone who has already done something similar. I do not care which technologies are used. The program must work quickly - extracting the data each time I run the program should take less than a day and not weeks.

To prove that you can do it quickly, please send me a sample data of a 100 companies in an excel spreadsheet with basic columns (name of company, company size, website etc. Send me that file together with your confirmation that you are sure that can perform the overall task - I will then chose you right away and we will move forward quickly together. Final deliverable is the final file with the companies, the code of the program and the procedure you followed to do that.

Also scrub the YELLOW PAGES for all companies in the US for TRASH, TRASH REMOVAL,""SERVICE,""COMPANY,""PICK UP,""HAULING,""DISPOSAL,""CONTAINER ("" is TRASH)

DUMPSTER,DUMPSTER RENTAL,DUMPSTER ROLL OFF,DUMPSTER,DUMP,DUMP TRUCK COMPANY,DUMPSTER RENTAL SERVICE,DUMP TRAILER,DUMPSTER SITE

JUNK REMOVAL,REFUSE SITE,REFUSE DUMPSTER.

Also, please send 100 companies in excel format for test.

***Each Category Should Be In Its Own Excel Page***

Beceriler: Veri Madenciliği, Veri İşleme, Excel, Web Scraping, İnternet Araştırması

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İşveren Hakkında:
( 22 değerlendirme ) san bernardino, United States

Proje NO: #730768