Web Scraping Jobs

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Fixed-Price - Entry Level ($) - Est. Budget: $5 - Posted
We are looking for english copywriters, the mission will be focusing on rewritting event content for our platform hackathon.com. A bot will find the events, your job will be to add additional information and complete the dedicated spread sheet. About 30 new events to add every week, each complete event sheets will be paid 5$.
Skills: Web scraping Copywriting English Grammar
Hourly - Entry Level ($) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
I'm looking for someone to data scrape kindle book information the following details from Amazon.com: * Title * Number of Reviews *Amazon Best Sellers Rank * Price Kindle Book Categories http://www.amazon.com/Best-Sellers-Kindle-Store-eBooks/zgbs/digital-text/154606011/ref=zg_bs_nav_kstore_1_kstore Example of Kindle Book: https://www.amazon.com/Killian-West-Bend-Saints-Romance-ebook/dp/B01FIS2KSS?ie=UTF8&ref_=zg_bs_154606011_1
Skills: Web scraping Data scraping
Fixed-Price - Intermediate ($$) - Est. Budget: $15 - Posted
- I need help to find the email addresses of a 300 executives, to be encoded in MS Excel - The email addresses should be the personal business emails of the executives. It should NOT be generic group emails such as info@, marketing@, support@, etc. However, it can be group emails with the position of the executive on it such as ceo@, secretary@, etc. - I will provide the list of the companies and their respective directors - I need the first 300 done within 3-4 days. - Cost will be $0.05 per valid email
Skills: Web scraping Data Entry Data mining Google search
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
looking to get a large list of USA real estate emails, name, and phone number - I need to know: -what is your method of building this list and how can I know that they're accurate and real email addresses -how many total contacts you believe you can deliver -how many hours will it take you to build this list
Skills: Web scraping Data mining Data scraping
Fixed-Price - Expert ($$$) - Est. Budget: $5,000 - Posted
<<<<<Please bid if have in & out knowledge of poker>>>>> Auto bid will be ignored start your bid with "I know POKER" We have running poker bot using framework openholdem, we require betting strategy to be written based on opponent hand history and playing pattern. Require complete solution integration with database and strategy, player HUD. Framework we used : https://sites.google.com/site/openholdempokerbot/downloads <<<<<<<<<<Please bid if previously worked on a poker bot>>>>>>>>>>>>
Skills: Web scraping Machine learning Scripting
Fixed-Price - Intermediate ($$) - Est. Budget: $500 - Posted
We're looking for a person(s) to provide us scrapes of web data using provided links. These links are in the thousands and dynamic. The person must be fluent in English and have basic technical/development skills. Having access to a large network of bots is a requirement to complete this task.
Skills: Web scraping Data scraping HTML
Fixed-Price - Intermediate ($$) - Est. Budget: $35 - Posted
Looking for someone to find duplicate content from two different websites. List the original content and url, next to the duplicate url. For example DomainA (mywebsite.com) DomainB (Duplicatewebsite.com) Find all urls which contain duplicate content and match the corresponding urls from Domain A and Domain B
Skills: Web scraping Data scraping HTML HTML5
Fixed-Price - Intermediate ($$) - Est. Budget: $25 - Posted
Hi there, Using Yellowpages.com and Superpages.com, I need a spreadsheet of pet stores for the most populated cities in america: http://www.citymayors.com/gratis/uscities_100.html and also from this directory: http://pet-shops.regionaldirectory.us/ and this one: http://www.petclue.com/listing/guide/pet-shops-general#sthash.Lk24Qq46.adPrSdyA.dpbs I have created an excel spreadsheet for you to work with Please fill in the following info: - Store Image (if available) COLUMN A - Store name COLUMN C - Phone number COLUMN D - E-mail (if available) COLUMN E - Store description/overview (If available) COLUMN I - Fax number (If available) COLUMN J - Website url (If available) COLUMN O - Street address, city, state, zip code COLUMNS K, L, M, N (IMPORTANT: DO NOT collect a lead if a phone number is missing or an active website link is available) Please make sure to scrub the list of duplicate addresses. Thanks and if this works out well. I will have more work for you in the future. Lloyd
Skills: Web scraping Data scraping