Skip to main content

How To Extract RateMDs Data To Create Doctor’s List In A City?

 How-to-Extract-RateMDs-Data-to-Create-Doctors-List-in-a-City

RateMDs is a wonderful way of finding specialists or local doctors within your city. It helps patients in leaving reviews of doctors, which are in various practice fields.

This also permits practitioners in managing their listings where they could list their websites, social media profiles, locations and phone numbers.

RateMDs helps you get a doctor or facilities in many countries including the United States, Canada, South Africa, India, etc.

It is a wonderful way for the patients to get the finest doctors in a city as well as share experiences with the other patients.

However, why would you need to extract RateMDs for creating a listing of health facilities and doctors?

We can offer you three reasons for scraping RateMDs data.

Lead Generation

Lead-Generation

It is a huge reason of using web scraping for creating a listing of doctors. You can utilize this listing to assist your company.

Suppose you’re the SaaS Company as well as your targeted market is medical industry. Now, you can make the list of targeted market within minutes.

You can make different lists for different cities within a few minutes of data scraping. You could even increase your services to other country!

However, it doesn’t only assist SaaS companies, it can help all the medical technology or products as well as B2B companies including digital marketing companies.

Competitor’s Analysis

Competitors-Analysis

Suppose you’re a doctor or a specialist. You may easily extract your competitors within the city. You can observe their website, social media plans, brand reputation, as well as targeted keywords.

As RateMDs rates all their practitioners, it’s easy to extract top 20 specialists as well as execute what they do in your practice.

Brand Reputation

Brand-Reputation

As patients could leave reviews, it’s easy to extract yours within minutes. You can extract both good as well as bad to see the spaces in the business plans where you could improve.

Let’s see how to extract RateMDs data as well as make the doctor list in minutes.

Extracting RateMDs Doctor’s Details

Here, we will extract “certified doctors in Toronto”. We would scrape their name, job title, RateMDs’ profile link, total reviews, Image URLs, as well as business website.

Let’s Get Started

1. Firstly, ensure to download as well as install Web Screen Scraping Scraper. We will utilize this web scraper to do this project.

2. Open Web Screen Scraping Scraper and click on the “New Project” option as well as utilize a URL from RateMDs result pages. Now, the page will get rendered within the app.

Page Rendered within the app

Extracting RateMDs Result Pages

1. When the site get rendered, the selection function would automatically get created and if not, you could click on plus symbol next to page selection.

2. Then click on first doctors’ name on a page. A name that you’ve clicked would be green color to specify that this has been chosen.

3. Web Screen Scraping Scraper will now indicate other elements that you wish to scrape. All the rest doctor names would get highlighted in color yellow. Then click on second name given in the list. Then, all the items would get highlighted in color green.

Page Rendered within the app

4. On left-hand sidebar, just rename the selection with Doctor_name. You would observe that Web Screen Scraping Scraper is now scraping Doctor’s name as well as RateMDs’ profile URLs for all doctors.

5. On left-hand side, just click PLUS (+) symbol next to your product selection as well as select the command ‘Relative Select’.

product selection

6. Use the command ‘Relative Select’, click on initial doctor’s name given on a page as well as on the job title. You would see the arrow connecting two selections.

initial doctor’s name

7. Develop new command that you’ve made and delete a URL, which is also getting scraped by default.

Getting Scraped by Default

8. Just repeat the steps 4 to 6 to scrape total reviews as well as images. Just ensure to rename new selections consequently.

Now, we have chosen all the required data to extract from result pages. Your project will look like this now:

Extract Result Pages

Extract Doctor’s RateMDs Lists

Now, we would tell Web Screen Scraping Scraper to click all the doctors we’ve chosen as well as scrape extra data from every page. Here, we scrape the company website.

Initially, on left-hand sidebar, just click on 3 dots given next to main_template text.

Then rename the template with doctor_results_page. The templates assist Web Screen Scraping Scraper to keep various page layouts separately.

Various page layouts

2. Then, utilize the PLUS (+) symbol next to product selection as well as select “Click” command. One pop-up will come asking if the link is “next page” tab. Click the option “No” as well as Create New Template and input the new template’s name. Here, we will utilize Doctors_profile.

Doctor's Profile

3. Web Screen Scraping Scraper will automatically make the new template as well as render a doctor’s profile page for first doctor given in the list.

4. Then click on “Visit website” link. Web Screen Scraping Scraper will scraper a doctor’s site URL.

Add Pagination

In case, you want to run a project now, you will only extract 1st result page. RateMDs has 10 doctors for every page, however, we wish to make the list, which will provide us different doctors might be 50 to 100 according to how many pages you need to extract.

We need to tell Web Screen Scraping Scraper to click on next button for scraping the given pages.

Let’s set Web Screen Scraping Scraper to navigate next 10 result pages.

1. On left-hand sidebar, just return to doctor_results_page template and you may also require to change a browser tab with a search result page also.

2. Then click on PLUS (+) symbol next to page selection as well as opt for ‘Select’ command.

Navigate pages

3. After that, choose Next page link give at bottom of a RateMDs page. Then rename selection with next_button.

Rename Selection

4. By default, Web Screen Scraping Scraper will scrape the text as well as URL from the link, so increase the new next_button selection as well as remove the 2 commands.

5. Then, click on PLUS (+) symbol of next_button selection as well as utilize ‘Click’ command.

6. One pop-up will come asking if it is the “Next” link. Then click on Yes as well as enter number of pages that you’d love to navigate. Here, we will extract 9 extra pages.

Extract 9 pages

The final project will look like this:

Final Project

Run and Export the Project

Now this project is all set to extract RateMDs. For doing so, just click on left-hand sidebar as well as click on green colored “Get Data” switch.

You would be taken to the page:

Run and Export Project

Here, you could test, run or plan the project. For bigger and longer projects, we suggest doing the Test Run to ensure that your data would get scrapped as well as formatted appropriately.

However, for the given project, just click on “Run” button and start scraping.

When Web Screen Scraping Scraper completes the website scraping, you would get notified through email as well as you can download the scraped data in the Excel, CSV, or JSON file format.

Conclusion

Now as you understand how to extract RateMDs to make the listing of doctors as well as specialists in the given city!

However, Web Screen Scraping Scraper can extract other websites for creating the list of lead generation as well as competitor analysis.

For more details, contact Web Screen Scraping or ask for a free quote!

Comments

Popular posts from this blog

How to Scrape Glassdoor Job Data using Python & LXML?

  This Blog is related to scraping data of job listing based on location & specific job names. You can extract the job ratings, estimated salary, or go a bit more and extract the jobs established on the number of miles from a specific city. With extraction Glassdoor job, you can discover job lists over an assured time, and identify job placements that are removed &listed to inquire about the job that is in trend. In this blog, we will extract Glassdoor.com, one of the quickest expanding job hiring sites. The extractor will scrape the information of fields for a specific job title in a given location. Below is the listing of Data Fields that we scrape from Glassdoor: Name of Jobs Company Name State (Province) City Salary URL of Jobs Expected Salary Client’s Ratings Company Revenue Company Website Founded Years Industry Company Locations Date of Posted Scraping Logics First, you need to develop the URL to find outcomes from Glassdoor. Meanwhile, we will be scraping lists by j...

How To Use Python To Scrape IMDB Movie Data From The Web ?

  We all are always eager to know the best movie or the best comedy show of all time. For all such confusions, reviews, ratings, and people all over the world utilize IMDB, an online library of such material, for trivia linked to the world of movies and television. While people add the information, the database is owned and administered by an Amazon subsidiary. It began as a database in 1990 and was converted to the web in 1993. While anybody can examine the material on the website, if you want to make changes to the facts or add reviews, you must first register. In this blog, we'll look at how to use  Python  to scrape IMDB movie data from the web. IMDB allows users to give ratings to movies and small screen shows, and these ratings have provided the basis of several lists used by movie fans and many others to establish a personal hit list. While IMDB doesn't give an API for querying its data, it does provide a textual download option. A DIY code can also be used to scra...

How Social Media Marketing Company Uses Web Scraping Services?

  Home   Company   Services   Industries   Blog   Contact Us How Social Media Marketing Company Uses Web Scraping Services? Home   How Social Media Marketing Company Uses Web Scraping Services? JUNE 03, 2022 In last several decades, the globe has witnessed the transformation of technology and the beginning of the new digital era. In recent years, enormous transformations and changes have found a significant impact on people's lives and society. The internet has fundamentally transformed the economics that drives the society, in addition to other social advancements. The economy has been impacted by the Internet. Due to advancement in technology every sector has influenced. Web Scraping The change in the technology have developed many untapped sectors. Web scraping also known as data crawling is one of the most prominent aspects of the twenty-first century's new technology. Web scraping is a way of extracting data from the internet and saving it in an o...