Why Scrape Meta Descriptions and Meta Titles and How to Do It

Introduction

Have you ever thought about why meta descriptions and title tags are essential for a website’s content? Thanks to keywords included in those tags, search engines understand what the website is about and index it.

This article will help you understand why to scrape title tags and meta descriptions and how to do it using meta data scraper.

What is a Meta Title?

The meta title applies to the HTML document’s title, which you see in the result of your search engines and on the website’s tab in browsers. The page title is a necessary element in the HTML code and applied in the <head> section of the document.

The meta title is used to create the headings of items in the search result pages and might affect the number of clicks, thus ranking the web page. Besides, there are social media networks using the title as a heading while sharing the pages.

What is a Meta Description?

The meta description is an HTML tag, which describes what your website is. It will give you a chance to be noticed by search engines and bring users to your website. In other words, meta descriptions generate click-through rates coming from search engines.

Unfortunately, there is not always a chance that Google will show up your meta description, but it always deserves the effort to add it to your post.

Why Use Meta Scraper

You’ve heard a lot about how data scraping can strengthen your marketing strategy. Extracting meta data can be one of the methods that you can use. For example, you can do some keyword research and find inspiration for new ideas. Besides, SEO ranking is based on meta titles and descriptions; that’s why you can find out the genuine success of your competitors by extracting organic search results.

Meta data scraper is used to extract targeted URLs and scrape the websites’ titles, meta descriptions, and keywords. You can extract meta data from your competitors’ websites and make further comparison.

Scraping meta data by DataOx

Meet ParseHub: A Powerful Meta Data Scraper

ParseHub is an automatic and easy-to-learn tool for data extraction that can also extract meta titles and descriptions into a JSON or CSV file.

Now we’re going to extract the meta title and description of each post from Shopify’s. Before getting into business, download and install the ParseHub desktop app.

Setting Up a Meta Scraping Project

To set up your project, go through the following steps:

  1. Open ParseHub.
  2. Click on “New Project” and insert the URL of the target page. The page will show up. Scraping meta data and meta descriptions using Parsehub by DataOx 1
  3. Select the first blog post by clicking on its headline. Then select on the second blog post Scraping meta data and meta descriptions using Parsehub by DataOx 2
  4. Change the name of your selection to “post” on the left sidebar.
  5. ParseHub is now extracting the headline and URL for each post.
  6. Click on the (+) button and select the “Click” command. Scraping meta data and meta descriptions using Parsehub by DataOx 3
  7. A pop-up window will open. Click on “No” and type a name for a new template: “blog_post”. Then click on the “Create New Template” button. Scraping meta data and meta descriptions using Parsehub by DataOx 4
  8. The first blog will be rendered in the app, and the select command will be created.

Getting the Meta Title and Description

Now, let’s extract the meta title and description from every blog post. We’ll start by inspecting the code to define the two tags that we will fetch: <title> and <meta name=”description”>.

  1. Use the select command to select the post’s headline and rename it to “title”. Scraping meta data and meta descriptions using Parsehub by DataOx 5
  2. Click on the “Edit” button and select the “use XPath selection” option. Scraping meta data and meta descriptions using Parsehub by DataOx 6
  3. In a newly appeared text field, ask ParseHub to extract the title Scraping meta data and meta descriptions using Parsehub by DataOx 7
  4. Click on the (+) button, then click on “Advanced” and select the “Extract”. Scraping meta data and meta descriptions using Parsehub by DataOx 8
  5. From the drop-down menu, choose the “Inner HTML” option, and ParseHub will start to extract the meta title of each page. Scraping meta data and meta descriptions using Parsehub by DataOx 9
  6. Then click on the (+) button and add a new “select” command and repeat steps 1-6 to extract the meta description for the page.
  7. For the Xpath command, use: //meta[contains(@name,’description’)] since there is over one meta field.
  8. From the Extract command drop-down, select “content Attribute”. Scraping meta data and meta descriptions using Parsehub by DataOx 10

Running your Meta Scraper

Once you’ve completed all your setups, you can run your meta scraping job. Click on the Get Data button, and ParseHub will extract the requested data. When the extraction part is over, download the data in a CSV or JSON file.

Key Benefits from Scraping Meta Data

In the end, look through what kind of benefits you can have by scraping meta data:

  1. Extract keywords driving traffic to a website.
  2. Get which content is attracting links.
  3. Analyze and get valuable insights for better user engagement.
  4. Gain resources to increase your website rankings.
  5. Do competitor’s meta-data research.

Conclusion

The meta and description tags attract readers to a website from the search engine results, which is a significant part of search marketing. So, by scraping meta data of your competitors, you can identify their click-through rate potential and make a valuable analysis. If web scraping seems complicated for you, you can always hire professionals like a DataOx team.

DataOx is an experienced web scraping provider, always ready to help you with any data scraping project. Schedule a free consultation with our expert to learn how DataOx can help you with your business development through web scraping.

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