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216.73.216.93
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  "geoplugin_message": "Blacklisted due to sending too many requests to geoplugin.net. Consider whitelisting your IP or domain",
  "geoplugin_url": "https://www.geoplugin.com/premium/"

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How-to-Scrape-Yelp-Data-and-Yelp-Reviews-Using-BeautifulSoup-and-Python

Web scraping is a method that helps programmers to attach to a site using code and scrape JavaScript and HTML hosted on a website. Then, the code is analyzed using a few libraries which can help with the data extraction we want.

The benefit of web scraping with programming languages like Python is that we are not restricted to data extraction from one page; however, if a website's logic is steady enough, we can repeat through all website pages to scrape the maximum data possible.

Web Scraping Limitations

Web scraping is not a foolproof method. Like all other instruments, there are situations or limitations where it couldn't work correctly. If we are fortunate enough, we may not face these problems when mining. Each website has its weird structure and protection systems; therefore, it is a new challenge.

 You can't download all the codes with BeautifulSoup

Tactlessly, there is no probability of getting a workaround while the problem arises using the code. It might happen that a site has allowed protections which prevent BeautifulSoup from having a connection. If some sites identify that you are sending GET requests without utilizing a browser interface, they might block you. It is uncertain that any other libraries would work in a similar scenario.

 You can't parse the code

At times, the software could still use the HTML, but for a few reasons, a code can't get parsed or converted into well-structured BeautifulSoup objects. If we can't parse that, we can't use any methods given by a BeautifulSoup library for scraping information; it makes the automation process impossible.

 Website structure without any logic

You may discover other times when the code is correctly accessed, downloaded, and parsed; a website might have a poor design which is not possible to recognize a general structure in similar pages. Indeed, this rarely happens, but we had to cope with a problem sometimes, resulting in numerous pieces of data getting lost as the retrieval procedure might not get adequately automated.

 It is too difficult

We hope you never deal with this problem, although a few websites can overcome you with quantities of code that are impossible to decode correctly. At times, information is snuggled in the structures secreted by JavaScript and hashes, and although all the data you require is hidden within the code, you can't get a way of simply extracting it.

Scraping Yelp

Scraping-Yelp

In this blog, we will concentrate on extracting the reviews of the same restaurant.

To do a correct data scraping, we will follow these steps:

  • Ensure that we can download the HTML of a single page
  • Ensure that there is any logic in a website that allows iterations
  • Extract the initial page
  • Get the data we wish to scrape
  • Scrape the information and position them on the list
  • Create a cycle that applies similar algorithms to different pages
  • Export the results

The procedure is very spontaneous and could be summarized in this way: before, we observe if we can do the web scraping; if yes, then we do it on a single page, and we extend a code to many pages.

Checking if you can download the HTML

Checking-if-you-can-download-the-HTML

At the start, we thought there wasn't any hope. It took us a while to know all reviews were limited to that one line of HTML code that we needed to analyze.

Check if a website has some logic

Check-if-a-website-has-some-logic-2

The next challenge was to see if there were any evidence of the logic which might have permitted us to repeat through different pages about a similar restaurant.

Luckily, the logic is straightforward. Once we have identified the restaurant we want to extract, we can change the number given in a link divided by 10 like an indicator for a review page. Repeating through various pages is very easy.

Coding

Here is the Python code to follow:

Import Libraries

Import-Libraries

Repeat through the whole website

Repeat-through-the-whole-website

Scrape reviews and include them in the list

Scrape-reviews-and-include-them-in-the-list

During downloading data, a code will show us the development made and downloaded data.

Exporting results

Exporting-results

Exporting results from a list is straightforward. We can do that using the text file; however, we prefer CSV to help the data movement using other software.

As you can see in the screenshot, we have successfully exported all the reviews in a single CSV file.

As-you-can-see-in-the-screenshot

Conclusion

We can do many cool things to make the best value of the data we have just downloaded. We could clear it and then do a sentiment analysis of this data. After that, we could download data from different restaurants and envisage the best stations in the area; it entirely depends on our imagination.

Still, want to know more? Contact Actowiz Solutions now! You can also reach us for all your mobile app scraping and web scraping services requirements.

216.73.216.93
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    [countryCode] => US
    [region] => OH
    [regionName] => Ohio
    [city] => Columbus
    [zip] => 43215
    [lat] => 39.9625
    [lon] => -83.0061
    [timezone] => America/New_York
    [isp] => Amazon.com
    [org] => Anthropic, PBC
    [as] => AS16509 Amazon.com, Inc.
    [query] => 216.73.216.93
)

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Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

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Organic Grocery / FMCG

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Improved

competitive benchmarking

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“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

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“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

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Quick Commerce

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3x Faster

improvement in operational efficiency

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“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

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Beverage / D2C

Result

Faster

Trend Detection

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“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

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“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

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Co-Founder / Head of Product at Upright Data Inc.
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“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
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Iulen Ibanez
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“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
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1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & palniring

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price inights Top-slling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Relail Partner)

"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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