Month: January 2019

31
Jan
realtor-marketing-list

Project Title: Realtors Data Scraping Project Description: We are looking for a quote for: Data scraping on realtor specifically agent information nationwide. 1. Agent Name First and Last 2. Brokerage 3. Phone Number 4. Address (if possible) 5. Link to website of Agent 6. Specializations 7. Areas severed 8. Experience 9. Slogan 10. Sold 11. Languages 12. Listed a House 13. Image of Agent 14….

data-collection1

Project Title: Scrape Dealers from Multiple Websites Project Description: I want to scrape all the dealers from the URL’s below https://www.scag.com/dealerlocator/viewer/blipstar.php https://www.stihlusa.com/locator/search/ https://www.exmark.com/Find-A-Dealer?refine=true The data-fields which you will have to scrape are: – Dealer Name – Address – City – State – Zip Code – Phone – Email – Website I am happy to pay, just will want to make sure the quote matches the…

canada411

Project Title: Scraping People’s Phone Number in Canada Project Description: I need to scrap phone number of people from canada411 and yellowpages. You can browse the person’s name alphabetically in canada411 and grab their phone numbers. Regarding delivery, I would like to know what are the various output formats in which you deliver the data? Kindly, suggest us your best rate and minimum time required…

30
Jan
lawyers email database

Project Title: Lawyers Email Database Project Description: I am only really interested in the attorneys who are in my zip codes in California. I was interested in you pulling a list of attorneys in my zip codes from Avvo.com, Justia.com, lawyers.com or martindale.com but the price you quoted was a little more than I’m comfortable spending right now. Please provide me your best lowest possible…

autotrader data scraping

Project Title: Cost for Scrapping Software Autotrader.co.uk Project Description: Hi! Could you send me the costs for scraping the Autotrader website for fresh advertising? I require basic details like: Car Id, Model Name, Price, Year, Mileage, Body Style, Engine, Fuel type, Drive Type, VIN and Description. I would be having this requirement much often, so can you build an automated software which can help us…

web scraping

Project Title: Scraping Lawn Care Hardware Manufacturer Data Project Description: Need dealer info scraped for a manufacturer that sells lawn care hardware. Example want all dealer data scraped from exmark.com. The details required are: – Dealer Name – Address – City – State – Zip-Code – Phone – Email Also, you can suggest any alternate website which provide the similar data and if we find…

Scraping Shopify Stores Contact Information

Project Title: Scraping Shopify Store Owners Email Project Description: I need a big list of shopify stores – with email. Need 30-50k if possible, real active store owners. I will be paying you the price on per record basis. Please note, emails are the key factor and any record without email will not be considered. I would like to know, if you have done similar…

bet365

Project Title: Scraping Soccer Odds from bet365 Project Description: Hi! I need to scrape bet365 inplay soccer odds. I checked your website, everything is looking good but I need a more information about your system. I want to know what is your approach? how you complete the task technically? and since how long you are in this business? Can you send me sample or something?…

yelp data scraping

Project Title: Scraping Southern California Business Database from Yelp Project Description: I would be interested in scraping yelp and BBB for Southern California. That includes Ventura county, Los Angeles, Orange County, San Bernardino county, riverside county, and San Diego county. Can you give me a price and time-frame to complete? Data-fields required are: – Business Name – Claimed y\n – Stars – Number of reviews…

restaurants email list

Project Title: Scraping Restaurants Location and Menu Data Project Description: I’m helping a startup who are currently interested in obtaining both location and menu data covering all restaurants and eateries in central London initially and then later across other cities in the UK. Of importance particularly are menu data including flags on whether dishes are vegan, vegetarian or whether they contain any of the EU…