Web Scraping Jobs

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Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
We need help developing an large email list. create a contact list from a specific Industry. Sources can be inbound.org, zoominfo, data.com, angel.co, crunchbase, linkedin, hoovers.com or any other Name Title Company Email Address Mailing Address Website Phone Fax We will pay a fixed rate per contact with VERIFIED EMAIL. Please review the following questions to be considered for this position: Please list what tools you use to source emails? Strategies you are using for collecting data and what thing/skill/tool you have to fast process? What email verification tools or verification software do you use? What email scarping tools or Atomic Email Hunter software do you use? Have a premium Linkedin Account? Have data.com account? Skype Info? IMPORTANT: WE WOULD IDEALLY LIKE YOU TO VALIDATE THE EMAIL ADDRESSES. Please let us know if you are interested and have experience and technologies for this type of work. Thank you Director International Business
Skills: Web scraping B2B Marketing Internet research Lead generation
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I need help with crawling some information from a few websites. Not that complicated task
Skills: Web scraping Web Crawler
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
Hi, pleasure to meet you. I'm looking for someone who has experience collecting contact data online using scripts. The contact information is vendors, particularly cleaners and similar service jobs jobs. We are not looking for someone to collect this data manually but to build software to collect this data and prepare. Kind Regards:) Talk soon.
Skills: Web scraping Data mining Data scraping Python
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I am looking to scrape as many as 6 sites, potentially more. I want to extract SKU, pricing information and other relevant details.
Skills: Web scraping
Fixed-Price - Expert ($$$) - Est. Budget: $14 - Posted
I want the price details (including shipping) scraped from an online website (Tcgplayer.com) for Yu-Gi-Oh cards. the cards would be scraped based on the card name, the pack it comes in, the rarity and the edition. A sample web page can be found at http://shop.tcgplayer.com/yugioh/star-pack-2013/friller-rabca-starfoil-rare star-pack-2013 would be the pack, friller-rabca is the card name and star foil-rare is the rarity. You can see how these go together. Sometimes the rarity is not appended. I would provide a list of categories, cards, and rarities to be retrieved. Multiple editions may be on the given page. I am only interested in "Near Mint" condition (a check box on the left side) and I suggest you click 50 per page, because I want the lowest 10 prices for each edition (that are found on a page including 50 items). TCGPlayer will block you if you go too fast. I had tried to do this using the Seleniium::Firefox module of perl and after some successful tries, I was blocked -- it appears because I was retrieving the "Not Found" items frequently before the actual item. You will get a not found item when you request the card with the rarity in the URL and the rarity is not a part of the url as explained above. Hopefully, the url's can be matched up to the rarities after a couple of test runs so these errors don't occur and fewer requests are made. (Recently we came up with a way to get the url's, it involves a simpler scrape project, I hope if this is successful the selected programmer could create that as well and we would discuss pricing. I want to scrape between 5000-6000 cards (per day, hopefully---If that is not realistic, I could handle it done once/week). If the process took 10 hours -- that could work for me. I am running on a mac loaded with perl, etc. If you're interested in the "working", blocked program; I can provide it to help with the final solution. I would prefer if this can be done with perl. It does not work with the WWW::Mechanize module -- there is quite a bit of javascript in the page.
Skills: Web scraping JavaScript
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
Important! Before you continue reading this project. DO NOT contact me if you are a player or bullshitter since we will analyze all data with our high-tech tracking real time SMTP service on all data. If we find crap email/data the we will report you. Do not offer us crap email list which you have bought from some affiliate or other sellers, since our tracking system will notice if the email have been used for promotion. Now to the project- Read ALL points very carefully otherwise we are definitely NOT interested to deal with you or even answer you. 1. We need Real and Fresh email (full data with first name, last name and city/country). 2. Private email list 3. No business email list like info@, support@, contact@, etc... 4. We need real data from following countries ONLY, nothing else: UK, Canada, New Zealand, South Africa, Germany, Russia, Bahrain, UAE, Saudi Arabia, Qatar, Kuwait. Thanks
Skills: Web scraping Data scraping Email Deliverability Email Handling
Hourly - Expert ($$$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
There is an unofficial Instagram API that returns geo data - https://github.com/mgp25/Instagram-API This job will be 2 parts... First part, we just get the lat/long data for all of the creators. Then the second part will be to look at all of the lat/longs for each user and find the most dominant location. So step 1 would look like: 1) We will send you a spreadsheet of 100k users. Each row looks like: <user id, username> 2) For each user: a) use this php Instagram API and make the call getGeoMedia(<user id>) b) this call returns an array of items. Each item is an array that looks like this: Array ( [media_id] => .. [display_url] => .. [low_res_url] => .. [lat] => .. [lng] => .. [thumbnail] => .. ) c) From each array item, pull out the lat and long values. d) Write into a CSV, rows of the format <user id, lat, long> So for a user id, if the array has 10 items, there should be 10 rows inserted into the csv table. This job will most likely require the use of proxies to prevent banned access and rate limiting. You will need previous experience in PHP as well as the effective use of rotating proxies.
Skills: Web scraping PHP