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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM39222

Restaurant Data Scraper: An Automated Tool for Extracting Restaurant Information Using Python Html, CSS and Selenium

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM39222

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM39222

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ODS

Omkar Dhananjay Sagade

DDS

Dhanuja Dhananjay Sagade

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Abstract

In this paper, a web scraping solution for conveniently obtaining restaurant data from an HTML file—a Python-based Restaurant Data Scraper—is developed. BeautifulSoup is used for effective HTML parsing, and Selenium WebDriver is used to automate interactions with a web page. Python, HTML, CSS, Selenium, and BeautifulSoup are all used in the implementation. A structured CSV file containing the extracted data—such as restaurant names, ratings, descriptions, and addresses—allows for additional analysis. By offering a solution that can be modified for different restaurant listing formats, this project responds to the growing need for effective data extraction techniques from semi-structured HTML files. Scalable and UTF-8 encoded to handle special characters, the program provides a platform for more comprehensive data collection.

KEYWORDS

Web scraping solution Python-based Restaurant Data Scraper CSV file HTML parsing Data extraction techniques.

Cite This Article

Omkar Dhananjay Sagade, Dhanuja Dhananjay Sagade, "Restaurant Data Scraper: An Automated Tool for Extracting Restaurant Information Using Python Html, CSS and Selenium," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024. https://doi.org/10.55041/IJSREM39222

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Publication Date

11/29/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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