Project Title: Scrape Lawyers from State Bar of Nevada Project Description: I’d like to see a sample of scraped data for all Lawyers in Nevada from its State Bar Website. The direct link is: https://www.nvbar.org/find-a-lawyer/. Can you have estimation of total number of profiles available on the website? We would like to scrape following data-fields: – Lawyer Name – Bar # – Member since –…

Project Title: Extract Eastern Connecticut Realtors List Project Description: I am interested in having data like: – Realtor Name, Company Name, State, Zip, Phone Fax Email, Website and Member Type. The website to receive the data is – https://www.easternctrealtors.com/. Do you have experience in data scraping Online Realtors Association Websites? If so, please let me know price and time duration for the project. We would…

Project Title: Extracting Data from Resumes Project Description: Looking for structured data extraction from resumes that are in multiple formats/types. Structured data needs to be parsed, extracted and stored in a DB. Would you please be able to do that? Data size: 10K. We would send over a couple of resumes and you would need to view the sample for same. Also, advise the quote…

Project Title: Scraping Event Page from Eventbrite Project Description: Hello, I would like to know if you can scrape the contact details of attendees off a published Eventbrite page: https://www.eventbrite.com/e/2020-learnlaunch-across-boundaries-conference-tickets-62534301780?aff=homepagepopeb — 1024 “PEOPLE GOING TO 2020 LEARN LAUNCH ACROSS BOUNDARIES CONFERENCE.” Just this one event, should only take a few hours. Interested to know what tools you use to do so and how much time…

Project Title: Scraping Loan Officers, Realtors Agents & Home Remodeling Contractors Project Description: We need loan officers, real estate brokers and Mortgage brokers in NY and NJ. Cool this is a start here’s others and there’s chapters in NY and NJ. There is Brooklyn, Bronx,Westchester, queens they are important maybe my partners have other associations in NJ and NY we want scraped . We are…

Project Title: Scraping Heating & Air Conditioning Business Email List Project Description: USA Scraping Data of Heating & Air Conditioning/HVAC with Email List. I am interested in data about Heating & Air Conditioning/HVAC Businesses for the US. I am wondering if you can also provide data about the size of the businesses? What will be the source that provides the best data for the above…

Project Title: Extract Lawyers Data from SCBar Directory Project Description: Hi there, I need a list of lawyers along with their email addresses from across the South Carolina. I would like to have it get scraped from https://www.scbar.org/. Do you have a ready database for this and if yes, how old it is? And if a fresh scrape is needed by your side how long…

Project Title: Scrape Mountain Metro Association Realtors Project Description: Need to do Realtors data scraping from mountainmetro.com. What are your rates? Please search the Realtors alphabetically so that you don’t miss any of the records. We just need to scrape following piece of information: – Realtor Name – Phone – Email Upon successful completion of this scraping, we may avail you with the extraction of…

Project Title: Automation for Product Price Monitoring Project Description: We are an eCommerce seller who would like to create an automated process to monitor pricing and various product attributes from a list of Amazon ASIN. The scraping process would run automatically once per day and then push the data to a table on our AWS RDS hosted MySQL database. Your tool should carry out following…

Project Title: Scrape German Grantmaking Foundation List Project Description: I need someone to turn the database from website: https://stiftungen.stiftungschweiz.ch/search?active=grantmakers into a human-readable Google sheet. There are just under 11,000 entries, and there are between 7 and 14 pieces of information per record, depending on the record. Various information for each record are: – Foundation Name – Contact Number – Email – Website – Address –…