Parser for the Restaurantguru website
22 USD Write a parser for the site https://restaurantguru.com/, which will collect information about all establishments from the specified section.
For example, there are restaurants in Lviv https://restaurantguru.com/restaurant-Lviv-t1. It is necessary to collect the names of the restaurants, the rating, and the number of Google reviews (highlighted in red in the screenshot), the rating and the number of Tripadvisor reviews (highlighted in blue in the screenshot)
, , links to the pages of the establishments. The result should be saved in Excel.Applications 1
Client's review of cooperation with Yehor I.
Parser for the Restaurantguru websiteThe work was completed on time. The parser collects the necessary information about restaurants. It turned out that there are still hidden objects on the site, but I overlooked this detail myself and did not include it in the task description.
Freelancer's review of cooperation with Serhii Konik
Parser for the Restaurantguru websiteThank you for the collaboration. It was a pleasure to work!
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2 days45 USD
2 days45 USD
Good day! I will create a parser in Python + BeautifulSoup that will collect names, ratings, the number of reviews from Google and Tripadvisor, as well as links to establishments from the entire section and all pagination pages. The result will be a neat Excel file, ready for use.
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3 days36 USD
3 days36 USD
Good day. The cost depends on whether you need the data or the parser itself. I indicate the cost for the parser; for the data, it will most likely be more.
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1 day45 USD
4826 162 1 1 1 day45 USD
Good day! I can do it right now. I will be happy to collaborate — feel free to reach out!
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7 days156 USD
716 4 0 7 days156 USD
I will perform this task better than anyone else because I have extensive experience in parsing complex catalogs with dynamic content, bypassing anti-bot protections, and exporting structured data to Excel. My architecture ensures maximum accuracy: correct recognition of Google/Tripadvisor ratings even with partial data absence, automatic pagination handling, and uniqueness of entries. You will receive a clean, analysis-ready dataset without duplicates and errors, with a clear column structure.
Work plan:
1. Site structure analysis: studying HTML markup, identifying CSS selectors for establishment names, ratings, number of reviews, links, checking the pagination mechanism.
2. Parser setup: choosing the technology stack (Python/Scrapy or Playwright), configuring requests with User-Agent rotation, handling dynamically loaded blocks.
3. Data collection implementation: extracting restaurant names, parsing ratings and number of reviews from Google and Tripadvisor blocks, saving direct links to establishment pages.
4. Processing and validation: filtering records with missing values, normalizing number formats, checking for duplicates by link.
5. Export to Excel: creating a table with columns for name, link, Google rating, Google reviews, Tripadvisor rating, Tripadvisor reviews, formatting for easy analysis.
6. Testing: running on a test sample of districts, checking the accuracy of collected data, debugging network error handling and timeouts.
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2 days45 USD
1540 20 0 2 days45 USD
Hello. Ready to implement.
Price: 2,000 UAH. Deadline - 2 days.
I will create a quality parser, I have extensive experience. Feel free to contact me.
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1 day22 USD
265 1 day22 USD
Good day, I am writing on behalf of the company Devoxen. We specialize in such tasks. We have extensive experience in developing parsers, collecting and processing data from websites, including complex cases with dynamic content and a large number of pages. We can implement a parser for Restaurant Guru to collect the names of establishments, ratings, and the number of reviews from Google and Tripadvisor, as well as links to restaurant pages with automatic saving of the results in Excel.
We can also scale for different cities/categories, provide filtering, protection against blocks, and the possibility of further automatic data updates.
We can do this without unnecessary questions and wasting time. We also provide a guarantee and support if desired. We can start working on your project immediately after discussing the technical specifications.
I suggest moving to private messages for a more detailed dialogue.
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1 day33 USD
702 1 0 1 day33 USD
Hello! Ready to collaborate. I have experience in data parsing. I offer quality and fast work. Write to me)
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Winning proposal3 days22 USD
3392 84 0 Winning proposal3 days22 USD
Ready to take it on.
Need to clarify the order details, write to me!
I use python, uv, github, docker.
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2 days45 USD
2731 76 1 2 days45 USD
I will write a parser in Python that will collect all the necessary data for you in Excel based on the link you provide to the required section.
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1 day22 USD
1928 29 1 1 1 day22 USD
Hello! I am ready to help with your project. I have extensive experience in development and can implement all necessary components according to your documentation. I guarantee quality execution within the agreed deadlines.
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2 days22 USD
1490 28 0 2 days22 USD
Ready to complete your task, write to discuss the details.
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2 days45 USD
693 4 0 2 days45 USD
Good day, I am ready to complete the task. The only question is - should the parser work on your PC or on the server?
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2 days111 USD
6592 28 0 2 days111 USD
I will do it in Python + Playwright (for bypassing protection), collecting names, ratings, and the number of reviews from Google and Tripadvisor, links to the pages — all in .xlsx. Pagination logic is included to cover the entire section.
I have a ready-made parser template for similar sites with anti-blocking bypass, so I will adapt it quickly.
How many establishments are approximately in the target section, and is a cron job needed for regular updates, or is it a one-time collection?
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2 days45 USD
6811 164 1 2 days45 USD
Good evening, I can gather the necessary data for your request. Message me privately and we will discuss.
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10 days223 USD
1825 52 0 10 days223 USD
Good day. If only the data from the website is important, I can write a console parser - the results will be saved in an Excel file. Do you need to collect data from the entire site or from a specific section?
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2 days45 USD
727 6 0 2 days45 USD
I can do this today-tomorrow
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3 days67 USD
1476 14 1 3 days67 USD
Good day!
I can create such a parser
It will collect:
- the name of the establishment;
- Google rating and number of reviews;
- Tripadvisor rating and number of reviews;
- link to the establishment;
… - collection from all pages of the category;
- export to Excel.
I will implement it in Python. If needed, I can add proxies, anti-ban, and auto-start.
To get started, please clarify:
- is the parser needed once or for regular use?
- will the launch be local for you or on a server?
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1 day45 USD
82 1 day45 USD
Hello, I can help you solve your problem) We will do it quickly and without issues)
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7 days45 USD
573 5 0 7 days45 USD
Hello, I worked on a parser for collecting data from restaurant websites - I gathered information about 2500+ establishments with ratings and reviews in 3 days.
Do you also need to collect additional information about the establishments, such as addresses, phone numbers, or hours of operation?
I suggest we get in touch; I will provide you with free technical advice and we can create a development plan + I will tell you about my team!
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Уточніть, Вам потрібна послуга парсингу (разово зібрати дані) чи автономний парсер, який ви самостійно будете запускати?
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