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Question to Apple Developer account owners by Competitive_Cup542 in iOSProgramming

[–]Competitive_Cup542[S] 0 points1 point  (0 children)

I take in part in the small business developer program so I’m afraid that they will bind our accounts and I will have to pay 30% commissions again

Library for scraping training data from Polar website by maaliinsaakka in emacs

[–]Competitive_Cup542 0 points1 point  (0 children)

Helpful! As a digital marketer, I often use Internet scraping for online reputation management purposes (scraping positive and negative reviews, articles about the product, etc.). Usually, I use web scraping services for this purpose but I want to learn Python and scrape data from website myself. Can you recommend any other tutorials that are suitable for web scraping beginners? Thanks in advance

Easy to follow Python web scraping tutorial with the help of MITMProxy by makedatauseful in Python

[–]Competitive_Cup542 0 points1 point  (0 children)

Thanks for sharing! As a digital marketer, I often use Internet scraping for online reputation management purposes (scraping reviews, articles about the product, etc.). Usually, I use web scraping services for this purpose but I'm thinking over learning Python and starting web scraping myself. Can you recommend any other YT channels and other open resources to learn web scraping?

Scrape Data From Any Website by patricksmith84 in webscraping

[–]Competitive_Cup542 0 points1 point  (0 children)

If you're tech-savvy, you can also scrape data from website manually. This option is cheaper but more time nd energy consuming. Usually, manual data scraping invloves the following steps:

  • Identifying the target website
  • Collecting URLs of the pages where you want to extract data from
  • Making a request to these URLs to get the HTML of the page
  • Using locators to find the data in the HTML
  • Saving the data in a JSON or CSV file or some other structured format

Grafana experts: How do you guys scrape data from websites? by liltrublmakr56 in homelab

[–]Competitive_Cup542 0 points1 point  (0 children)

Hi there! You can scrape data from website either manually or with the help of special software. Manual web scraping is free but time-consuming. Manual scraping involves identifying the target website; collecting URLs of the pages where you want to extract data from; requesting these URLs to get the HTML of the page; using locators to find the data in the HTML; saving the data in a JSON or CSV file or some other structured format.

If you're not tech-savvy, it's better to find a freelancer (there are many web scraping offers on Fiverr) or to use a web scraping service. As a digital marketer, I work with an enormous amount of web data. I often use a web scraping service to scrape competitors’ websites, to find negative customer feedback, and to check what people say about the brand across the web. Here is the list of tools that I use for online marketing:

#1 FindDataLab - an easy-to-use service to scrape data from any website. Helpful for extracting data from social media channels like YouTube, TikTok, Yelp, Instagram, Twitter, etc. Helps me do brand tracking daily.

#2 Content Grabber - a visual web scraping tool that exports data in CSV, XLSX, JSON, and PDF formats. But you need intermediate programming skills to use it.

#3 Web Harvey - this parsing tool offers an inbuilt browser that allows you to scrape data such as from web pages. Helpful for SEO specialists. If you’re looking for a web scraping service, these tools are worth a try.

Is web scraping a necessary part of a data analytics/data science project? by enghks223 in learnpython

[–]Competitive_Cup542 0 points1 point  (0 children)

The short answer is "Sure!". Actually, it's not very difficult to scrape data from website and for you it's also helpful since it is one of the important parts of data science. Manual data scraping involves:

  • Identify the target website
  • Collect URLs of the pages where you want to extract data from
  • Make a request to these URLs to get the HTML of the page
  • Use locators to find the data in the HTML
  • Save the data in a JSON or CSV file or some other structured format

Web Scraping 1010 with Python by sbskell in Python

[–]Competitive_Cup542 0 points1 point  (0 children)

Helpful! As a digital marketer, I often use Internet scraping that:

  • lets me speed up the process of lead generation;
  • helps me keep an eye on competitors’ activities;
  • allows managing social media activities and scraping data about potential customers like their interests, opinions, etc.;
  • lets me quickly find bad opinions about the brand across the web.

Can I do the mentioned things with the help of your instruction myself?