Parser for the Tripadvisor website

Budget: 1200 UAH Deadline: 3 days

Hello! Parsing is my main job, and I have dealt with Tripadvisor.

The hassle is not in the data itself, but in the protection: lists are given in batches, and captcha starts quickly, so I collect through their internal requests at a normal pace, rather than using a browser blindly. Things to Do and the Russian version follow the same logic, only the language prefix changes.

I will provide an Excel file with the name, rating, number of reviews, and link. 1200 UAH, three days.

Budget: 2400 UAH Deadline: 3 days

Good day. There are a few questions I would like to discuss, as this may affect the final cost. I am indicating an approximate amount.

Budget: 4000 UAH Deadline: 2 days

Hello.

I am developing parsers in NodeJS and am ready to take on the task. Write to me, and we will discuss.

Budget: 3000 UAH Deadline: 1 day

Good day
I previously wrote a parser for this site and know how to work with it.
I am ready to pass it on to you. To work with the Russian version of the site, proxies are needed.

Budget: 2500 UAH Deadline: 2 days

Hello, Serhiy. I am ready to develop a reliable and fast parser for collecting information about attractions (Things to Do) from Tripadvisor with exporting the results to Excel.

Budget: 4000 UAH Deadline: 1 day

Ready to execute. I will write a parser in Python for TripAdvisor (including the Russian version). I will collect names, ratings, reviews, and links with export to Excel. Deadline: 1–2 days.

Budget: 4000 UAH Deadline: 3 days

Good day
I have significant experience in developing various types of parsers.
I can take on the task of writing a parser for your website. In the end, you will receive a program for Windows that will save the parsing results of the specified sections in an Excel file.

Budget: 2800 UAH Deadline: 3 days

The main nuance of Tripadvisor is DataDome. Regular requests through requests + BeautifulSoup get a 403 error on the very first request, even with a User-Agent spoof. Therefore, a headless browser is needed, and this defines the entire approach to the task.

I will collect data using Playwright — it renders JS and reliably bypasses the protection. I just looked at an example page for Ukraine with Things to Do: I see the structure, pagination has 30 items per page, each entry has a title, rating, number of reviews, and a link. These four fields are what I will extract.

What I will specifically do:
• Navigate through all the pagination of the specified section (only Things to Do, excluding hotels and restaurants)
• Collect four fields: title, rating, number of reviews, link to the object's page
• Support both domains — .com and .ru, switching via a language parameter
• Save to Excel using openpyxl, removing duplicates
• Pauses between requests with retries on failure — to avoid getting banned

Result: a ready Python script that you run to get an xlsx file. No extra fields, just what is in the specifications.

After the first test run for Ukraine, I will send you 50-100 rows for verification — you will check the format and whether everything is being extracted correctly.

Let me know — and I will immediately check the Russian version of the page to ensure that the selectors match. Expand

Budget: 1000 UAH Deadline: 1 day

Hello!

I am ready to develop a parser for TripAdvisor that will work with the Things to Do sections and collect all necessary data about attractions:

— object name;
— rating;
— number of reviews;
— link to the object's page.

The results will be automatically saved to an Excel file.

We will also create a user-friendly interface for launching the program: the user pastes the link to the desired section or the page of the country/city, clicks the start button, after which the program collects all available objects and generates a ready Excel file.

We will support both the English version of tripadvisor.com and the Russian version tripadvisor.ru.

If needed, we can also add a display of the data collection progress, the number of found objects, an error log, and the ability to stop and resume the parser's work. Expand

Budget: 2000 UAH Deadline: 2 days

Good day. I looked at the structure of the site. There is a possibility to extract data without parsing HTML pages. This makes parsing stable and fast. Write to me, we will discuss, I will be happy to help.

Budget: 3000 UAH Deadline: 5 days

Hello, Serhiy!

I have practical experience in developing parsers and automated data collection from web pages. I clearly understand the task: to write a script for collecting information from TripAdvisor (the Things to Do section, for example, in Ukraine), adapted to work with the required version of the site.

What I guarantee:

Collection of all necessary fields: object name, rating, number of reviews, and a direct link to the page.

Saving the final result in a convenient Excel format.

Reliability of the parser, bypassing bot protection, and correct handling of pagination.

I am ready to discuss the details, deadlines, and cost of execution. I would be happy to collaborate! Expand

Budget: 2500 UAH Deadline: 2 days

Hello. I will start developing your parser for Tripadvisor, I will collect information about attractions from both versions of the site and save the results in Excel. Please let me know if it is necessary to set up bypassing blocks through proxies for stable script operation while parsing a large number of pages. I would be happy to receive your feedback, I will answer all your questions, and we can better orient ourselves regarding deadlines and other project details. I will gladly help)

Budget: 5000 UAH Deadline: 1 day

Hello, Sergey!

I am ready to write a reliable and fast parser for TripAdvisor tailored to your needs. I have extensive experience in data collection from complex web resources (including working with dynamic content, bypassing protection, and proxies).

What will be done:
Targeted collection: Gathering objects strictly from the "Things to Do" category (attractions/monuments), excluding hotels and restaurants.

Data completeness: Collecting the name, rating, number of reviews, and direct link to the object's page.

Multilingual support: Full support for parsing data from both tripadvisor.com and tripadvisor.ru.

Convenient format: Exporting clean and structured data to Excel (.xlsx).

User-friendliness: I will create a clear instruction manual and, if necessary, implement flexible launching (for example, entering the required link or selecting a country/city).

Technologies: Python (BeautifulSoup / Playwright / Selenium, pandas, openpyxl).

I am ready to discuss the details and start working immediately after agreement. Please write to me if you have additional requests for the Excel table format! Expand

Budget: 3000 UAH Deadline: 1 day

Hello!
I am ready to complete your task, I will write a parser that you will run from an icon on the desktop, it will collect events from your link and save them in the required format, message me privately for clarification of details.

Budget: 1500 UAH Deadline: 1 day

Good day, I have already done a similar project. I just checked - everything is being parsed.

Example of data - https://ibb.co/9mphvMMX

Budget: 7000 UAH Deadline: 5 days

Hello. I can create this parser. If you're interested, write to me, and we will discuss.

Budget: 9800 UAH Deadline: 10 days

The parser will need to collect information about attractions from the website tripadvisor.com, for example, all attractions in Ukraine. I will use Python to create a parser that can process data from the site and store it in Excel. I have experience working with Python and data parsing. Will it be necessary to process data from other sections of the site besides attractions?

Budget: 2500 UAH Deadline: 2 days

Good afternoon, I have been engaged in web programming, including web development, for 10 years. You provide the design, and I will handle the layout and the finished website hosted on your server. Please check the reviews in my personal account.

Budget: 1300 UAH Deadline: 2 days

Sergiy, a specific nuance will come up from Tripadvisor: the site is protected by DataDome (even cases like TheFork, from the same holding, confirm this), and a regular request without browser rendering immediately gets a 403, a headless browser with proxy rotation is needed. In my portfolio, there is a case for CatalogLens (freelancehunt.com/showcase/work/cataloglens-932-tovara-magazina-sobrannyie/2061489.html), I collected 12,932 products from a large catalog with pagination into a live dashboard and xlsx, the dashboard is still open. I will adapt the pagination skeleton, deduplication, and export to xlsx for Tripadvisor: only Things to Do, without hotels and restaurants, the name and rating will go into one xlsx along with the number of reviews and the link, .com and .ru domains switch with a language parameter. I will write the layer under DataDome (proxy, render) separately for this site, this is a new part.

If the page returns data without a heavy JS challenge after rendering, I will deliver in a day. If DataDome puts a lot of pressure, a second day will be needed, I will let you know after the first look. I will send the first 50-100 rows for Ukraine for verification before payment. 1,300 UAH, lower than other rates here: the profile is new, a first review is needed.

Budget: 2500 UAH Deadline: 3 days

Ready to complete your task, we can discuss it in private messages.

Budget: 2000 UAH Deadline: 3 days

Hello, Serhiy! I am collecting data from attractions on Tripadvisor and exporting everything to Excel without losses. Tripadvisor tweaks content through Ajax and bans by IP after a dozen pages, so I started using Playwright with fingerprint rotation and proxies. I use Playwright to bypass dynamic loading and gather all objects from all pages. What type of attractions are you interested in first?

Budget: 3500 UAH Deadline: 7 days

I have experience writing parsers for websites with dynamic content, particularly for collecting data from Tripadvisor. I understand the nuances of working with pagination and handling different language versions (tripadvisor.com and .ru). I can implement the collection of names, ratings, number of reviews, and links for the "Things to Do" section, saving it in Excel. For clarification: is support for bypassing blocks (proxy or changing User-Agent) needed?

Budget: 18000 UAH Deadline: 5 days

I have almost ready the foundation of such a parser, it can be quickly adapted for Tripadvisor Things to Do and launched, I'm on site.
Estimate - 18,000 UAH, deadline - 5 days for a working version with Excel, pagination, removal of duplicates, and adjustments for tripadvisor.com and tripadvisor.ru.
Note here - during the technical check, the example page returns 403 DataDome, so it's better to do it through browser mode, with pauses, retries, and limit checks.
After the start, I need a link to the section, Excel format, and the desired language of the data from you.
Question - are we collecting only one specified section from the link or do we need a list of several countries or cities?
Another question - do we leave 4 fields from the description or add the address, category, and ranking position if they are available on the page?
A similar case is Ingello - https://business.ingello.com/vorfahr - automation of data collection and processing for business processes.
Another close one in logic - https://business.ingello.com/fractal - agency automation of repetitive actions.
Our profile for FLH - https://systems-fl.ingello.com/ua.

Budget: 2500 UAH Deadline: 3 days

Hello!

I can implement a parser for TripAdvisor according to your specifications.

What will be done:

* collection of all objects from the **Things to Do** section (excluding restaurants and hotels);
* automatic navigation through all pagination pages;
* collection of the object's name, rating, number of reviews, and link to the page;
* saving results in Excel format (.xlsx) with a convenient structure;
* support for both the English version (tripadvisor.com) and the Russian version of the site;
* correct handling of possible changes in page structure and retries in case of temporary errors.

I will use Python (Playwright or Selenium depending on the site's behavior) considering the dynamic loading of content and TripAdvisor's protective mechanisms.

The code will be well-structured and commented so that it can be easily extended or adapted for other categories or countries in the future.

After reviewing the specific list of pages or examples, I can immediately assess the exact timelines and start working.

I would be happy to discuss the details. Expand

Budget: 2500 UAH Deadline: 4 days

I will implement it using Playwright (asynchronous mode) for guaranteed rendering of JS content and bypassing basic protection. The parser will go through pagination, extract the title, rating, number of reviews, and URL using selectors, and save it in Excel (openpyxl). Support for `.com` will be implemented by substituting the domain and language parameter in the requests.

I have experience building similar scrapers for dynamic websites with pagination, bypassing Cloudflare, and exporting structured data into tables.

How do you plan to handle PerimeterX/Cloudflare protection at large volumes — is rotating proxies/headers sufficient, or is a persistent browser profile with cookies needed?

Budget: 2000 UAH Deadline: 1 day

Hello! I will take it on and complete it. I have experience. Write to me and we will discuss.

Budget: 1500 UAH Deadline: 1 day

Good day!

I have reviewed your task. I understand the scope of work and possible options for its implementation.

I would be happy to discuss the project details and propose an optimal solution.

Budget: 2500 UAH Deadline: 3 days

Serhiy, you need a stable tool for automating the collection of a list of attractions from Tripadvisor that will correctly handle pagination and gather data in a convenient Excel format. I will take into account the requirement for localization so that the parser works with the Russian-language version of the site.

I will write a script that will sequentially go through the links, extract names, ratings, number of reviews, and direct links, forming the final table. You will receive the result in the form of a ready file with complete structured information.

Do you plan to run this parser once for the database of Ukraine, or will you also need data collection for other regions in the future?

Budget: 1000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various parsers. Please write to me in private messages to discuss the details. I would be happy to help :)