Month: October 2018

Project Title: Web Scraping for Exhibitor Data from Trade Fair Website Project Description: We are looking for an expert to extract data from the website https://www.medica.de/. It is the website of a trade fair for the medical industry from which we would like to extract exhibitor data. The following data shall be extracted to an Excel list: – Category, Company name, Link to the details…

Project Title: Web Scraping for Information on Deaths of Certain People Project Description: I need someone with good web scraping skills to search a number of databases for information relating to whether specific people have died, and when. I will provide the list of names and the companies that they were affiliated with. The main search will be done of forms filed with the government,…

email list

Project Title: UK-Hotel Database required with Email – Data Scraping Project Description: Hello there, I need United Kingdom hotel database, along with contact details of owners, manager or Key decision makers, and if you can provide data without key contact then also fine. Kindly send your proposals with sample, I need full database. This data excludes this categories of hotels “wine shops, bear bar, restaurants,…

Project Title: eCommerce Websites Data Extraction Service Project Description: Need a daily extraction service for eCommerce website based on scraper you develop for a popular electronic ecommerce website. There are 2 parts to the project: 1. Scrape all the products listed on the website. The main data needed: – Product name – Product images – Product SKU – Product description – Weight – Dimensions –…

physicians email list

Project Title: Data Scraping Scrape List of Doctors Project Description: I would like to aggregate a list of all doctors in USA. You will need to suggest us best source for data scraping of doctors list. Please export all data into CSV files with the following data points for each doctor: – Doctor Name – Office Address – City – State – Country – Phone…

Small-Business-directories-datascraping

Project Title: Web Scraping from Publicly available Directories Project Description: Simple project of pulling data from publicly available sites. We need to get an extensive list of all US and Canada business. The list should compromise of: – Company Name – Number of Employees – Company LinkedIn URL – Company Logo URL – Website URL – Address – Contact number – Email Address We are…

Project Title: Daily Price Scraping from E-Commerce Websites/Online Stores Project Description: Hello, I am contacting on behalf of my company dealing in retail sector for clothing department. We need to monitor price change and stock availability of our competitor on daily basis. Can you assist us with the daily data scraping service from E-commerce Websites and other few online stores? The next step after data…

students-email-scraping

Project Title: Data Scraping on Universities Professors Project Description: Please find the overview to collect data on University Professors from public universities that have publicly available data. Please suggest the list of public universities with price for data scraping. The information required for Professors are: – Name – Designation – Department – University Name – Profile Page of University – Social Media URLs – Email…

Small-Business-directories-datascraping

Project Title: Data Extraction from Business Directory Project Description: Extract Information like Company Name, Email, Address, Telephone Number, Fax number. The website is: http://wwcategorizebook.com To be able to categorise the data into different industry and its sub industry eg: Industrial Directory –> Architect –> Abrasive Cutting Wheels Commercial Industry –> Banking, Finance and Investment –> Access & credit card magnetic strips To clarify further if…

Project Title: Scrape Amazon ASINs from Bestreviews.com Project Description: Hello, We are trying to form a long-term relationship for our data scraping needs. We are hoping to have someone pull all Amazon ASINs from the website www.bestreviews.com. The ASIN is easy to identify in the referral link for each product. The layout of the scraped info needed is pasted below, which is only two pieces…