The 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.
23
0
Budget: 2000 UAH Deadline: 2 days
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.
149
0
Budget: 1600 UAH Deadline: 3 days
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.
6
0
Budget: 2000 UAH Deadline: 2 days
I can do this today-tomorrow
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5
0
Budget: 2000 UAH Deadline: 7 days
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!
162
1
Budget: 2000 UAH Deadline: 1 day
Good day! I can do it right now. I will be happy to collaborate — feel free to reach out!
4
0
Budget: 7000 UAH Deadline: 7 days
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.
21
0
Budget: 2000 UAH Deadline: 2 days
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.
0
0
Budget: 1000 UAH Deadline: 1 day
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.
1
0
Budget: 1500 UAH Deadline: 1 day
Hello! Ready to collaborate. I have experience in data parsing. I offer quality and fast work. Write to me)
Yehor I.
Winning proposal
84
0
Budget: 1000 UAH Deadline: 3 days
Ready to take it on.
Need to clarify the order details, write to me!
I use python, uv, github, docker.
77
1
Budget: 2000 UAH Deadline: 2 days
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.
29
1
Budget: 1000 UAH Deadline: 1 day
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.
28
0
Budget: 1000 UAH Deadline: 2 days
Ready to complete your task, write to discuss the details.
4
0
Budget: 2000 UAH Deadline: 2 days
Good day, I am ready to complete the task. The only question is - should the parser work on your PC or on the server?
28
0
Budget: 5000 UAH Deadline: 2 days
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?
164
1
Budget: 2000 UAH Deadline: 2 days
Good evening, I can gather the necessary data for your request. Message me privately and we will discuss.
52
0
Budget: 10000 UAH Deadline: 10 days
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?
14
1
Budget: 3000 UAH Deadline: 3 days
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?
0
0
Budget: 2000 UAH Deadline: 1 day
Hello, I can help you solve your problem) We will do it quickly and without issues)
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