Project Title: Data Scraping from Waterstones.com Project Description: We’d like to get a quote to scrape the books data from waterstones.com. We require data from all the category on website to a google spreadsheet. The data-fields we’d require are: – Book Title – Category – Author Name – Back (Hard or Paper) – No. of Pages – Published Date – Price – Availability – Publisher…

Project Title: Data Scraping from Edmunds.com Project Description: Hello, I’d like to get the cars data scrapped from edmunds.com. The category I am looking for is : Sedan and SUVs. The data-fields required are: – Name – Style – MSRP Range – What’s New? – Pros – Cons – Image URL – Edmunds Rating – List of Years – Features & Specifications The data needs…

Project Title: Course Material Details Data Scraping Project Description: I need someone to extract data from a university website in order to get all the course codes the university offers, all the books required for this class. I need to populate an excel in the fashion Course code Section Book Name Author Edition The website is https://www.bkstr.com/ottawastore/shop/textbooks-and-course-materials Go through each department and for each department,…

Project Title: Data Scraping of Low Emission Zones Project Description: I need to pull a list together of all the cities and countries that are looking to implement low emission zones or green zones, which would stop high polluting internal combustion engines entering. This should also be a list of existing cities and countries too which have already started to do this. This may need…

Project Title: Data Scraping of Dominos Store Locations Project Description: Please open the link: https://www.dominos.co.uk/store/ourstores and locate the section “Home Counties”. Click the link for each location only under “Home Counties” section and find the Dominos store address of that location. We are only interested in Home Counties section location. Also after collecting data from the given link, find the Dominos store for the given…

Project Title: Data Scraping of Fashion Products Project Description: I am already having a front-end website designed but without displayable products. So, we are in a need of scraping various fashion products from different sources all over the world. I have a list of 100 websites from which I want to scrape products and will send it over to you. We can discuss and understood…

Project Title: Scraping Members Data from HIA and NCIA Project Description: Hello!! We would like to scrape the Members directory from the following 2 websites: https://www.thehia.org/directory?&tab=1 https://thecannabisindustry.org/members/ We want to get the following information for each member: First Name Last Name Organization Address City State Zip-code Country E-mail Website Description Social Media Links Both sites may not have all the data-fields but you will have…

Project Title: Menus Data Scraping from Restaurants’ Websites Project Description: I need data scraped from multiple restaurant sites. I need restaurant menu data scraped from multiple sites and possible individual restaurants sites. The format will be provided. We need this data in Excel format to be uploaded into the database. We are looking for data from multiple states for now with the strong possibility of…

Project Title: Manufacturing Company Data Scraping Project Description: I wonder if you can assist me to scrape data from the website: https://www.bizbuysell.com/ I would like to get the information scrapped for “Manufacturing” category. The data-fields I would like to collect are: Business Name, State Name, Asking Price, Cash Flow, Gross Revenue, Inventory, EBITDA, FF&E, Real Estate, Established, Description & Detailed Information I need the data…

Project Title: Restaurant Data Scraping from Google Maps Project Description: I need someone with the ability to scrape data off Google maps. I need a specific set of data for restaurants in 3 states: Virginia, Washington DC and Maryland. I need to pull following details: – Restaurant Name – Restaurant Type – Open and Close time – Address – Phone number – Email – Any…