Scrape TV Channel Web Site Schedules

Job ID: 39084120

Budget: $10 – $80 USD

I need someone to scrape television show times data from different web sites schedules for 80 TV Channels. I need data for weekdays and weekends for each tv channel. The info can be put into a single CSV or JSON file. All data must be in UTC+0 and have the show name and times and reflect different shows for weekdays vs weekends for each tv channel. This must be done quickly and you must stay in my budget.

You will need to scrape show info and times for all my channels from different sites and put all 81 channel data into file for me.

You can get the names of my tv channels @ https://tv.eternityready.com

I will upload
The requirements are:

* Adhere to a 1-2 day deadline.
* Use a UTC + 0 timezone for the file. Each TV Channel has a different time zone for their TV GUIDE - SCHEDULE. But please just make either a column or have all data be in UTC, so we can have accuracy with end users time zones vs timezones of the different tv schedules.
* All Data must have correct show names - titles and times scrapped from the TV Channels Official Web site - schedule page.
* Data must reflect a week day and weekend varied schedule for each tv channel.
* You must provide me the file you create, containing the scraped schedule data before you complete the project.

- Specific Websites: Use my specific list of tv schedule urls provided by me and cross check using gogole search if they schedule urls change. And update my list with the newer schedule page URLS on the Official websites of the TV channels themselves.
- Finding Official Sites: I have an outdated list. Some channel schedules urls may be accurate. You must find the official sites of the TV Channels and check for a schedule page. Update my list if any urls are outdated and no longer exist.
- Data Format: Provide the final output in both CSV or JSON. Please use a universal timezones like UTC+0


Ideal skills and experience for the job includes:
- Proficiency in web scraping and data extraction.
- Familiarity with TV schedule and channel websites.
- Ability to deliver data in specified formats and time zone.
- Capacity to work within budget constraints.