Month: November 2018

restaurant-data-scraping

Project Title: Scraping Restaurants Information from Business Directory Project Description: Need someone who gathers/researches information for us. We need someone to gather restaurants information for us. Phones numbers, emails and restaurant names and put them in an excel spreadsheet. Data to be scraped are: – Restaurant Name – Type of Cuisine – Address – City – State – Zip Code – Country – Phone –…

Project Title: Contact Details Scraping for Venues and Event Services Project Description: I am needing a list of potential clients for a new website. It will be focussing on Event Planning in and around my town. I need a list of all venues and specialist service providers that might be needed for anyone planning events. The type of events I am catering for are: Weddings…

Small-Business-directories-datascraping

Project Title: Scrape Online Directory Business Listings Project Description: I’m looking for someone to extract all the results for the following search query. The data I would like back in a CSV file, with the following fields: 1. Listing Name 2. Phone Number 3. Email address 4. Description 5. Website 6. Address split out in separate columns: – Address line 1 – Suburb – State…

Project Title: Google Map Companies Information Extraction Project Description: Google map companies information extraction within a geographic range. I am looking for all companies information located in a designated area through google map. The information required will have; name, location link, website, industry, etc. We will provide you list of geographic ranges that is zip code for which we want to scrape companies information. Please…

Project Title: Data Scraping for Car Dealer Websites Project Description: I’m trying to get all car dealer locations listed on VW and Audi in Germany. Need all fields including dealer name, full address fields, phone, map coordinates (lat/lon) as well as if they sell new cars? Service? Any other services like CV (Commercial Vehicles)? Results to be delivered into the csv/xls list. Within how many…

Project Title: Business Data Scraping – Gyms in Australia Project Description: Find all Gyms in Australia… convert to Excel file Need to have the following headings: 1. Business name 2. Email 3. mobile number 4. street address 5. City/suburb 6. State 7. Postcode 8. Website 9. Data Source(yellowpages/yelp/Groupon/gym website?) 10. City/suburb population Looking for someone experienced in business directories data scraping. Please provide me quote….

Project Title: Scrape Product Data from E-Commerce Site Project Description: I have a list of 15 search keywords. I want to input each on a specific e-commerce site and then scrape all of the returned product search results, along with detailed product listing data. I already have a CSV file setup with the headers that I want scraped. I need a quick turnaround on this…

Project Title: Data Scraping for List of Companies from CrunchBase Project Description: 1. WIll provide list of 45K Company websites. 2. Need to check CrunchBase page for each website e.g. https://www.crunchbase.com/organization/airbnb 3. Scrape following data points – Company Name – Website – Categories – Headquarters Regions – Founded Date – Operating Status – Funding Status – Number of Employees – Legal Name – Sub Tags…

Project Title: Scrape Product Reviews from AliExpress Project Description: This project requires you to scrape product reviews from Ali Express. Each product must have around 1-40 reviews, it must not be exact number of reviews, variation in number of reviews for each product is essential to keep the number of reviews variable for each product. YOU MUST HAVE EXPERIENCE SCRAPING FROM ALIEXPRESS. Please do not…

Project Title: Data Scraping Ads with Phone Number from Craigslist Project Description: Hello, Need a help for data extraction from Craigslist with business advertisment and phone number. Will you be able to bypass captcha to retrieve data? Scrape the information: – Business Name – Category or Type – Address – City – State – Zip Code – Country – Phone – Email Address – Description…