Blog

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…

28
Jan
data collection

Project Title: Scraping Contact Details Project Description: I would be interested in learning more about your capabilities. I am looking for help in scraping contact details (in the same format) from different URLs. What are the terms of cooperation? The general requirement would be to scrape (on a monthly basis) a set of company details (Name, Address, TAX ID etc) from approx 2-5k of URLs….

Project Title: Scraping Weedmaps Directory Project Description: I am looking for a scraping of the entire weedmaps directory, except prices, as well as leafly.com. Please email me with details of what you can provide. Have you ever done similar scraping project in past? Can you share some samples for review? Awaiting your earliest response. Thank you. For similar work requirements feel free to email us…

Project Title: Scraping Hotel Information from TripAdvisor Project Description: How much will you charge to scrape 8000 Hotel information from TripAdvisor? I have a list of Hotels and I need data of those hotels to be scrapped and input into an excel sheet. The data points which I need goes like this: – Name – Address – City – Country – Ratings – No. of…

email extraction from website list

Project Title: USA Restaurants Email List from Facebook Project Description: I need email list and name of at least 11.000 restaurants in USA. I need this data to be extracted from Facebook. Is this something you guys are capable to do? Please for information when can you be able to sent me for the price and in what format will be sent the same? Also,…

25
Jan

Project Title: Car Info Automation Task Project Description: The task is to visit the websites below on a daily basis and get all the seller information from used cars in zip codes 46804 and 46304 1. Craigslist link results zip1: https://fortwayne.craigslist.org/search/cto?bundleDuplicates=1&search_distance=50&postal=46804 link results zip2: https://indianapolis.craigslist.org/search/cto?bundleDuplicates=1&search_distance=50&postal=46304 https://drive.google.com/file/d/1j8Nix9CfNBQa-qO-5QqxyR18jXo8S-di/view?usp=drivesdk Go to each listing and get the email or phone number they give and the listing headline + description…

web scraping services

Project Title: Scrape Websites for Reviews Project Description: We would like to scrape websites to get reviews. We are primarily focusing on the India market right now, we would like to scrape consumer forums, hotel reviews, travel reviews, fashion reviews from various India focused websites and brands. Please let me know how we can work with you guys? Are your scrapers configurable so minor changes…

Project Title: Scraping Student Email List Project Description: I am interested in getting a list of names and emails of students from UK universities. You will have to go through each university website, find the student directory and extract the data. Emails are the key factor and they should be properly verified and validated. For now, we can start with University of London, Cambridge and…

students email database

Project Title: Scrape Emails from ucla.edu Project Description: I have noticed your work experience and so I hope you can help me with my requirement. I want to retrieve Student’s email ids from ucla.edu. Basically all I need is student name, department and email from above website to be delivered in an excel. I want data separated by department in different sheets of same excel…

Project Title: Scraping Data from Greek Chamber Site Project Description: This is a site of a Greek chamber: https://echamber.pcci.gr/eChamber/login.php?action=sKad It has over 20000 companies registered. In the given page you can see the companies by their category and the code of the category. If you click on a category you will see subcategory etc. You can use translate to English and understand how it works….