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Data Scraping Jobs

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Fixed-Price - Entry Level ($) - Est. Budget: $450 - Posted
I would like a database created with the following information from the links below, there are about 2,200 records: 1 | PROPERTY ID NUMBER 2 | ADDRESS 3 | NEIGHBOURHOOD 4 | BUILDING PLAN 5 | NO HAS MULTIPLE BUILDINGS 6 | IS LAND-LOCKED 7 | ASSESSED VALUE 8 | PARCEL AREA (Sq Ft) 9 | ZONGING GROUP 10 | ZONING CLASS 11 | PARCEL CLASS 12 | PARCEL USE 13 | ADDRESS COUNT 14 | ALTERNATE ADDRESS 15 | DEWLLING UNIT COUNT 16 | PROPERTY DETAILS 17 | GOOGLE MAP LINK 1. http://manitoba.lighting/appartments 2. http://manitoba.lighting/condo 3. http://manitoba.lighting/surfparking 4. http://manitoba.lighting/parking 5. http://manitoba.lighting/nursinghomes 6. http://manitoba.lighting/wareh 7. http://manitoba.lighting/sm 8. http://manitoba.lighting/hotel 9. http://manitoba.lighting/office 10. http://manitoba.lighting/commult I would then like the companies information researched by address from Google.com and Yellow Pages (yp.ca) for all the data except for "http://manitoba.lighting/appartments", "http://manitoba.lighting/condo", "http://manitoba.lighting/surfparking", and "http://manitoba.lighting/parking" Data I want researched: | Business Name | Business Phone Number | Business Website | Business Email Address Any questions please let me know. Thank you in advance. Justin
Skills: Data scraping Data Entry Data mining Internet research
Fixed-Price - Entry Level ($) - Est. Budget: $100 - Posted
I need all the unique dealers in the geographic region pulled from the following Site. I need the following data fields There are under 500 records to be research: 1 | DEALER NAME 2 | PARENT DEALER *if applicable 3 | DEALER BRAND NAME's or "USED" 4 | PHONE NUMBER 5 | DEALER MAILING ADDRESS (ADDRESS, CITY, MANITOBA, POSTAL CODE) 6 | DEALER PHYSICAL ADDRESS *if different (ADDRESS, CITY, MANITOBA, POSTAL CODE) 7 | DEALER WEBSITE 8 | DEALER EMAIL ADDRESS 9 | DEALER TYPE (AUTOMOTIVE, HEAVY TRUCK, HEAVY TRAILER, RV, BOAT, MOTORCYCLE, SNOWMOBILE, AGRICULTURE, CONSTRUCTION) and the following if available DEALER GENERAL MANGER/ PRINCIPAL / PRESIDENT / OWNER / CONTROLLER 10 | HIS/HER EMAIL ADDRESS 11 | HIS/HER DIRECT PHONE NUMBER. 12 | HIS/HER DIRECT PHONE NUMBER EXTENSION This information can be pulled from these sites, and then the dealership websites from these sites. Automotive: http://manitoba.lighting/uto Heavy Truck: http://manitoba.lighting/truck Heavy Trailer: http://manitoba.lighting/railer RV: http://manitoba.lighting/eceh Boat: http://manitoba.lighting/oats Motorcycle: http://manitoba.lighting/bikes Snowmobile: http://manitoba.lighting/snow Construction: http://manitoba.lighting/heavy Heavy Truck 2 (only Carrier Members): http://manitoba.lighting/truck2 Farm: http://manitoba.lighting/arm1 Farm/construction4:http://manitoba.lighting/arm4. Attached is a document with some visuals of the data to be recorded. Please let me know if you have any questions.
Skills: Data scraping Data Entry Data mining Internet research
Fixed-Price - Entry Level ($) - Est. Budget: $120 - Posted
I need all the information pulled from the Canadian Gov business directory site, there is about 1,500 records: I need the following fields: Company Details: 1 | LEGAL NAME 2 | OPERATING NAME 3 | ALTERNATE NAME 4 | MAILING ADDRESS (ADDRESS, CITY, MANITOBA, POSTAL CODE) 5 | LOCATION ADDRESS (ADDRESS, CITY, MANITOBA, POSTAL CODE) 6 | PHONE NUMBER 7 | FAX NUMBER 8 | WEBSITE 9 | EMAIL ADDRESS 10 | Description Contact Details for each listed: 1 | FIRST NAME 2 | LAST NAME 3 | TITLE 4 | AREA OF RESPONSIBILITY 5 | PHONE 6 | FACSIMILE 7 | EMAIL Description Details: 1 | COUNTRY OF OWNERSHIP 2 | YEAR ESTABLISHED 3 | EXPORTING (Yes/No) 4 | PRIMARY INDUSTRY (NAICS) 5 | PRIMARY BUSINESS ACTIVITY 6 | TOTAL SALES 7 | EXPORT SALES 8 | NUMBER OF EMPLOYEES Attached is an example of the site and fields. Any questions please let me know. Thank you in advance.
Skills: Data scraping Data Entry Data mining Internet research
Fixed-Price - Intermediate ($$) - Est. Budget: $110 - Posted
Javascript Development Project We need to develop a client side scraper, meaning, the script will run on page load on a website. The scraper should detect the page type (product page, category page, checkout page and lastly, checkout success page). This scraper is part of bigger package, that invokes the methods in the right order. See attached the files for detailed description of the requirements. There is upside ! We have many such implementations. If you do it right, quick and on a tight budget, we will consider giving you many such implementations when we need them.
Skills: Data scraping JavaScript jQuery
Fixed-Price - Intermediate ($$) - Est. Budget: $500 - Posted
I need a scraper built to scrape a particular website daily and add all of the information into a searchable database. The website will consistently add new listings which will need to be scraped and updated into the database. We would like to be able to search the database to find listings that fit our search criteria....we will be conducting searches daily so it is imperative the scraper is running every-day in order for us to have the most up to date information as possible. We will need the scraper to scrape the data from multiple IP addresses so that it does not look like we are hitting their website thousands of times per day. For example. A listing is listed on the particular website today, the scraper will scrape all of the listing information into our database...we will then log-in to our database and enter our search parameters...if the listing is within those parameters....it will be listed as a result.
Skills: Data scraping Web scraping
Fixed-Price - Expert ($$$) - Est. Budget: $200 - Posted
Our group has an opportunity to work with the UK IT Services market and I want to understand it better. In particular I want to understand the background and trends. From our initial research using Companies House data, we have found that there are approximately 8200 companies in the UK with a revenue/turnover ranging from £500k to £10m. For our work, we define "IT Services" as companies that provide any or all of the following services: Managed Support Provider (MSP), IT Consultancy, IT Projects, Software development and/or design, IT break fix support, outsourced IT, IT resellers of software or hardware. * Firstly, is this number of 8200 companies still accurate? * Secondly, what was the size of the UK IT Services market 3 years ago, and in particular, what was the number of the companies within this turnover range? (Has the number of these companies gone up or down?) * Thirdly, what is the revenue/turn over of these companies? (Eg, 8200 companies in a range of 500k to 10m is either £4.1 billion per year through to £82 billion - that's a big spread so narrowing it down is needed.) To complete this job, you'll need to answer the above three questions and provide solid data, or references to credible sources that can prove this to suspicious bankers, investors, etc (these are the people we are talking to, so the data needs to convince them.) As such, a background in the UK finance world may be of benefit, but is certainly NOT mandatory. A data geek is preferred - someone who loves data, knows where it lives and can get hold of it. That is the base level of the job. However, we are also offering bonuses paid for answering any or all of the following questions. - What was the number of companies both before and after the 2007 crash? (Eg answering the question, "what happened to the market during the last crash?") - What is the market number of these companies in any of the following markets: France, Germany, Western or Eastern Europe, or Europe as a whole, the Middle East. - What is the growth of these companies per year? Eg, showing an average growth of x% is ok; as is pointing out stellar examples of specific companies that had very high growth of y% (you can use either turn over or profit for this point). Major bonus for pointing out WHY those stellar companies did so well compared to their peers. - A list of the bigger companies with turnovers over £10m. Please put "Data Geeks Rule" at the top of your response so I know you are human and have read this post. Lastly, the amount specified is just a recommended amount. If you feel you can do a GREAT job and your price is higher, sell me on it why I will get better value from you doing that.
  • Number of freelancers needed: 3
Skills: Data scraping Corporate Finance Data Modeling Data Science
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
WE DO NOT HAVE A SOURCE FOR YOU TO SCRAPE. We are looking to purchase a list of ALL USA homeowners with names, address, phone numbers. A HUGE bonus will be paid if you can get email & cell numbers for this list. DO NOT apply unless you have access or own this list and can show me. Only Skype JIMSISA1 if you have ALL of this data we need. Looking to hire ASAP
Skills: Data scraping Data mining
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
Scrape data from Air BnB website searches. Task: 1. Input Suburb (A8) and a date (C6) to AirBnB website from the attached file. Checkin is the date from C6 and checkout is to be a constant 2 days after checkin. Only search for 1 bedroom apartments with "Whole Apartment" checked. 2. Scrape all of the returned listings and calculate the median rental price from all of the listings and store in C8 (median not average). Store all new property UID's on the following sheet next to the respective suburb. 3. Repeat the process 364 times changing the checking date forward by 1 day each time (and the checkout always 2 days after) to complete a row of this table. Note only store new propeprty ID's which haven't appeared in the previous searches for the same suburb. 4. Repeat the entire process (steps 1-3) for each suburb in column A We are looking for a fast, efficient data scraper with good understand of the high level requirements and can deliver a nice clean dataset which survives our acid test. We will then continue the contract hourly to complete more search locations. Thanks.
Skills: Data scraping Analytics Data mining
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