Month: July 2019

contacct-info-scraping

Project Title: Scraping Contact Information for Zoominfo Profiles Project Description: We would like you to scrape all contact information including email addresses from the 24,000 Zoominfo profiles urls that we collected, into Excel spreadsheet. Please quote your best price and the time you need to deliver all the 24k records. We would also like to view a sample for few listings so that we get…

Data Mining and Web Research Services

Project Title: Verifying List of Companies Filing Patents Project Description: For my master thesis I need to do a web scraping searching if a list of 6500 companies have filled patents in a given time frame (2010-2018). The database where patents information is available is ESPACENE. Would you be able to do this? Can you also provide time estimation? Please let me know, how soon…

web scraping

Project Title: Scraping Apps Data from Store Project Description: Looking to extract all apps listed on an App store. Will you be able to help? Need some basic data-fields which are:- Vendor Domain’, Vendor Name, Founded, Email, Phone, Vendor Description, Page URL, App Name, Price, Reviews, Rating, Listed On, Latest Release, Categories, Short Description Long Description and Category Tree. How long would this take? What…

web scraping services

Project Title: Extracting Apps Data from Atlassian Marketplace Project Description: How much would it cost to extract data of all apps from “https://marketplace.atlassian.com/search?query=” ? Can you please get following fields for us? App URL App Name Vendor Name Vendor Status Vendor Description Partner Level Address Email Phone Vendor Domain For Reviews Rating Installs App Short Description App Long Description Before proceeding ahead will it be…

data-scraping-general

Project Title: Scraping Apps Data from Different Marketplaces Project Description: appsource.microsoft.com/en-us/marketplace/ https://azuremarketplace.microsoft.com/en-us/marketplace/ Above mentioned are the two web-links from which we need to get all apps extracted. Scrape data-fields: App URL, App Name, Vendor Name, Short Description, Long Description, Reviews, Ratings, Test Drive Duration, Publisher, Categories, Industries, Products supported, Support, Help and Implied Domain. We need to get data from both links in separate files…

data mining

Project Title: Scraping Entire Marketplace Database Project Description: I have requirement to scrape entire AWS marketplace data. Will you be able to help me out? The data-fields to get are as mentioned below: – App URL – App Name – Short Description – Vendor Name – Vendor URL (requires clicking on vendor name) – Vendor Description (requires clicking on vendor name) – Reviews – Rating…

webscrape

Project Title: Scraping All Apps from App Store- Intuit Project Description: We would like to get all apps extracted from https://apps.intuit.com/app/apps/home/. Where, the data-fields that needs to be scraped are: – App URL – App Name – App Short Description – Rating – Reviews – Long Description – Developer – Vendor URL – Vendor Domain (extracted) – Categories – Contact Also, get top 3 review…

advanced-web-scraping

Project Title: Scrape Product Details and Reviews from Capterra Project Description: We wish to scrape product details and reviews from https://www.capterra.com/ on an ongoing basis. For each product the data-points required are: – URL, Product Name, Vendor Name, Number of Reviews, Ratings, Category, About, Deployment, Vendor Details Name, Vendor URL, Date Founded & Vendor Location. Besides above mentioned data-points, we also need to get the…

data-collection1

Project Title: Scraping Web Hosting Provider Companies and Reviews Project Description: What is your rate to scrape data of Web Hosting Provider Companies and their reviews from G2.com? We need to get the following columns: – URL – Product Name – Number of Reviews – Ratings – Category – Full Category Path – About – Vendor Details Name – Vendor URL – Date Founded –…

product-review

Project Title: Extracting Vendor Data and Product Reviews Project Description: Retrieve all vendors and their products’ reviews from www.gartner.com. Please follow the steps for extracting vendors data as well as reviews of Products: – Go to each Vendors page listed on website. – From each vendor page, select each product. – Going through each product you’ll be able to extract required data. Data-fields: Vendor Name…