I want to scrape some information for my price comparison tool like offers, Delivery date, e.t.c. I have a plugin ready for it and editor says it's possible to parse some information like offers, date via any affiliate stores. I hope you all are acquainted with the affiliate egg plugin, otherwise, it might be a tedious job for you. Let's meet in chat
I have a lot of csv files (about 18000) containing data that I need to parse as fast as possible . The project consist of read a csv file using pypy and put it in a list. Treat the entire list (about 5000 lines) with GPU using PyOpenCl. Each line get about 40 comma separated financial data (some floats, some integer, and some strings). First, each line
Program needs to parse a text file, extracting date, player names, and their %score and input this into a spreadsheet.
Hello, We have a DB with around 1 million URLs of website in csv/xls files. The websites need to be parsed and scraped until a email is found, but parse and scrap the current page till the end because usually there is more than one email on pages like Contacts/About us etc . These are 99% companies websites, not personal or goverment. Facebook/Lin
...camera -Location of camera Time line: -Number of frames -Keyframes Materials: -Material names -Material types -Used Texture maps Meshes: -Mesh/object names We don't need to parse the actual geometry information. We just need to know which materials, camera's are defined in the files. Please let us know in the bid if you can dot it for the Blender file
Budget 20$ 1)App should continuously run in background 24X7 and call webservice and parse data ,you will receive integers from 0 to 10 as a response from webservice call . Webservice will be provided. 2)App should not stop at any time,it should restart the service if failed at any point of time or mobile is restarted. 3)Code is already having turnOnLed()
I need to hire an expert in forcasting solutions. Follow the rules of the project. 1. I have two files with history. 1.1 The first file to parse is: [login to view URL] 1.1.1 The solution should learn the file defaults and predict the next 5 years. 1.1.2 This file has 593 rows and two columns. The first