Data scraping from Zomato for restaurant listings - PowerPoint PPT Presentation

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Data scraping from Zomato for restaurant listings

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This article will review how to scrape restaurant information from Zomato, a popular restaurant directory. Zomato is a top-rated service where you can find restaurants easily by location or name. It provides reviews, ratings, and other information about restaurants. – PowerPoint PPT presentation

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Title: Data scraping from Zomato for restaurant listings


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Data scraping from Zomato for restaurant listings
Data scraping can help businesses save time and
money. Depending on the size of your business,
you may need more hours or resources to replicate
data from a website, such as Zomato, for
restaurants. Zomato web scraping can identify
critical information about a company in minutes
rather than hours or days.
Data scraping is so helpful for businesses that
it's becoming sought after. But there are
considerations to keep in mind if you're
interested in hiring a data scraper. Hiring a
data scraper is ideal if you have a ton of
information to pull from the web and it's
repetitive.
Specific requirements differ from one place to
another, so specify everything accurately when
hiring a scrapper. If you want a list of
restaurants in your area with their menu,
location, and contact details, this article can
help. You can use this article as a guide for
companies that need help getting their business
started or moving forward with an existing
business model or concept.
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Introduction to Web Scraping
Web scraping is the practice of extracting data
from websites. Regardless of how long it takes to
collect data, you'll be able to do it in just a
few minutes if you hire a professional scrapper.
Web scraping is mainly used for gathering
information instead of browsing or searching
unless you want specific information. It's also
used as a quality assurance test, which means
companies can check their website for errors and
correct them before customers notice.
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Scraping Zomato using Python and Beautiful Soup
This article aims to make scraping Zomato as easy
as possible, so it'll be a breeze for anyone to
do it. If you want to make page-by-page grinding
with BeautifulSoup, use the web scrapers in the
repository. There are two different approaches
using Beautiful Soup and Python.
Follow these steps to scrape Zomato using
Beautiful Soup and Python.
  • Download BeautifulSoup4.
  • Extract the code and put it in one folder.
  • Open a terminal window and create a new file.
    Call it run.py
  • Copy-paste the code below into your run file and
    save it in JSON format.
  • Open another terminal window and execute this
    line to scrape data from Zomato
  • You'll find that information has been saved to a
    CSV-formatted file called output_data_(your_date_h
    ere).csv, which can be opened by Excel for
    editing or can be read in by Python for further
    processing like extracting phone numbers from
    addresses or doing geolocation of restaurants
    using Google Maps Geocoding API, etc.
  • The script creates three files an HTML file to
    download the page that you have scraped, a CSV
    file containing the data in a readable format,
    and a log file containing the log of your
    scraping progress in CSV format.
  • The script will scrape Zomato for restaurant
    listings from anywhere worldwide. You need to
    specif

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Collecting Data Without an API
If you don't have an API to access the
information on your site, you may be asked to
build a front end for it. You can create a script
that scrapes the data from Zomato and stores it
correctly in your database or Mongo. To do this,
you'll have to open MongoDB and go through the
same steps above. After creating a script like
this, use it just as your code would work with
any other website (e.g., get home page/Menus).
For example, if we wanted to scrape food options,
apparel, etc., from Zomato, we could use the
following script, and the code for food will look
like this It will return anything that has to
do with food from the website. There are many
other options you can consider and use to build a
script or search for all possible options on
various websites.
Collecting Data Without an API
If you don't have an API to access the
information on your site, you may be asked to
build a front end for it. You can create a script
that scrapes the data from Zomato and stores it
correctly in your database or Mongo. To do this,
you'll have to open MongoDB and go through the
same steps above.
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After creating a script like this, use it just as
your code would work with any other website
(e.g., get home page/Menus). For example, if we
wanted to scrape food options, apparel, etc.,
from Zomato, we could use the following script,
and the code for food will look like this It
will return anything that has to do with food
from the website. There are many other options
you can consider and use to build a script or
search for all possible options on various
websites.
Advantages of scraping Zomato for restaurant
listings
1. Gets information fast
Web scraping for restaurant listings can get
information on restaurants fast, depending on how
many restaurants are in your area. If you want to
scrape every single listing from Zomato, it can
be time-consuming and take a few days to months.
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2. Accuracy
Depending on what you're looking for, you can get
the names and addresses of all your favorite
places, which means you can search on Google or
filter through an app. This can be especially
useful if you plan to order food from Zomato
instead of doing takeout and delivery services
(like Eat and Grubhub).
3. Speed yourself!
Since it's quicker than searching Zomato, you
don't have to do it as a part of your marketing
strategy, which gives you more time to focus on
other business aspects.
4. Save time
If you're going to scrape data on every website,
not just Zomato, it'll be difficult and take a
lot of resources that could be used for other
things.
5. Gets you more information
Zomato could be a better source to get
information. For example, the categories on
Zomato could be better organized and could be
misleading to restaurants.
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6. It's free
You don't have an API to connect with, so you
don't have to pay for the amount of data you get
from Zomato daily.
7. You can find restaurant information manually
If you're searching for food or other products
locally, you can use this method instead of using
other apps that scrape information from Zomato
and last updated a few years ago.
Getting a Data Scraper to Work for You
Hiring a data scraper is ideal, particularly if
you need help working data manually. If you want
help understanding how scraping works, this
article can help you.
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Conclusion
There are a few ways to get restaurant
information on Zomato if you're doing data
scraping. If you want to scrape every single
option, it can take a while however, it's more
reliable than other apps that last updated in
years. Zomato has more than 65,000 restaurants
that offer menus, images, business details, and
user reviews, allowing users to comment on them.
Users can also update information such as ratings
and reviews about any restaurant through the app.
This app's other functionality will enable users
to order food from restaurants through the app
itself. Zomato is primarily used for restaurant
listing however, the scope of this app is much
more than that.
visit more....
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