Scrape 83 URLs and update show listings on my site with BS4

Job ID: 37920495

Budget: $10 – $110 USD

I require a freelancer with expertise in web scraping to update my existing scraper tools which gather show time information from a multitude of television channel websites.

You will use selenium, scrappy or bueatiful soup 4 for scrapping. I got 83 tv channels on my web site @ www.eternityready.tv/live-tv

You will scrape 83 URLs per tv channel and then take the info that you scraped and update all show listings on my web site with the info u scrapped.

The scrappers update daily automatically.

Every TV Channel has a URL it will scrape to get (days / times / am / pm / dates / weeks) show time info like what is currently on the channel like title of show.

The trawlers / scrappers use beautiful soap (python library) for html / xml parasing of data from web sites to pull tv guide show time info for tv channels.

The web site @ www.eternityready.tv/live-tv has 83 FAITH AND FAMILY TELEVISION CHANNELS.


This project will not pay more than $100 usd. You must care more about helping than money. We are christian company. We are non profit. We are a start up. We are family and community based. We can not afford a big budget. Therefore you must AGREE TO WORK ON LOW BUDGET.

The web site has a back-end admin and also has ssh /sftp access for files on the vps Linux server.

The web site uses python (bottle), bueatful soup, and php .tpl files for web site. Also json files.


Key Responsibilities:
- Enhance scraper functionality to accurately extract and update show time schedules for multiple distinct channels.
- Ensure effective and precise data collection by bolstering scraper accuracy.

Information Required for Application:
- Freelancers must include a comprehensive project proposal outlining their intended methodology and approach towards this task.

Success Criteria:
- The improved scrapers will be evaluated based on the accuracy of collected data.
- The Stability and Consistency of the scrapers.

Ideal Skills:
- Proven experience in web scraping
- Firm understanding of database management
- Strong attention to detail to ensure data accuracy
- Familiarity with various TV channel websites (or quick learner) would be a plus.
Related categories: Python Web Scraping Data Mining Scrapy Data Scraping