Data parsing through mobile API

Naturally, web scraping is not suitable. There is bot protection. Rozetka works through Cloudflare. Regarding Rozetka: there is a bot that works as you need. All details in private message.

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Hello, Max!

I have reviewed the project description. The task of reverse engineering the mobile API for e-commerce (Rozetka and similar) fully matches my profile. I specialize in Python automation, network protocol analysis, and creating stable parsers.

How I will implement the project:

Traffic interception: I will set up a proxy server (MITM) to analyze the secure traffic of the Android application, identify all key API endpoints and necessary headers.
Authorization analysis: I will analyze the logic of token generation, lifespan, and renewal to automate this process in the script without the risk of deauthorization.
Script development: I will write clean, optimized asynchronous Python script for fast and unobtrusive data collection.
… Documentation: I will prepare a detailed and clear instruction on the logic of the solution so that you can easily maintain it yourself.

My relevant cases:

Goszakup Tender Bot: I designed a split architecture with a background module for maintaining sessions, bypassing anti-bot patterns, and preserving authorization state.
Avia Navigation Data Pipeline: I developed an asynchronous data collection and validation system on FastAPI with isolated error handling to prevent failures.

I have a deep understanding of Linux systems, network processes, and data caching. I am ready to discuss the details in chat or technical messages and promptly start working.

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Greetings! The task is absolutely clear. "Regular" HTML parsing does not work here, as the web version is protected by WAF/Cloudflare, so you are absolutely right - we need to simulate requests from the official mobile application.

Under the hood, the mobile API consists of standard HTTP/HTTPS requests (REST/JSON), and the task boils down to correctly emulating the device.

My stack and implementation algorithm:
1. Traffic analysis: Setting up a combination (I will raise Mitmproxy / Charles Proxy) to intercept requests from the Android application.
2. Bypassing protection: If necessary, I will deploy Frida for decompilation/bypassing SSL Pinning (if the application checks the security certificate and blocks the proxy).
3. Reverse engineering: Identifying target endpoints (catalog, product card, prices), analyzing header structure (headers, User-Agent, device_id) and the logic of generating/updating authorization tokens.
4. Automation: Writing a clean, optimized script in PHP (Laravel HTTP Client / cURL) that will cyclically collect data bypassing any blocks, pretending to be a real mobile device.
… 5. Documentation: I will prepare concise documentation (which request goes where, which tokens to update) so that you can easily maintain the script.

I have extensive experience with API integrations and request reverse engineering.

Deadline: 4-5 days (considering time for analyzing possible SSL Pinning).

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I have done this for several e-commerce projects: I set up mitmproxy or Charles on an Android device, captured the traffic of the mobile application, and extracted the necessary endpoints with headers, tokens, and request parameters. Rozetka, in particular, has a fairly stable mobile API, so the task is clear. Question: is a one-time analysis and documentation of the API needed, or is a working parser that will automatically send requests required right away? I am ready to discuss the scope and deadlines.

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Hello, I will do it. I can sniff traffic from mobile apps. Send the full technical specifications in private, and we will discuss the details further.

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Good day.

I have experience in data collection through APIs and parsing e-commerce projects. I can understand the structure of application requests, implement the collection of necessary data, and prepare the code in a clear format with explanations.

To provide an estimate, I need to clarify which specific service we are starting with and what data needs to be obtained.

After that, I will be able to provide timelines and costs.

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write which application I will analyze and evaluate

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Hello. I understand the task: it's not just regular parsing of the layout, but data collection through the internal mobile API of the application. That is, intercepting the traffic of the Android application, finding the real endpoints and their headers, figuring out how the application obtains and updates the authorization token, and based on that, writing a script that pulls data directly through the API, plus documentation so you can maintain the solution yourself.

I see the steps like this. First, I will set up traffic interception of the application through a proxy (mitmproxy or Charles) with certificate replacement, bypassing certificate pinning if necessary, to see the real requests. Then I will analyze which endpoints the application calls, what headers and signatures are transmitted, how authorization and token updating are structured. After that, I will reproduce these requests in Python without the application, with correct headers and automatic token updating, and collect data in the format you need. Finally, I will document the logic of requests and tokens so you can fix things yourself if something changes on the store's side.

I understand why through the mobile API and not page parsing: the internal API provides clean structured data, has less protection and captchas than the web, and works more reliably. I have worked with reverse engineering mobile and web APIs, intercepting traffic, and reproducing requests with tokens in Python.

To assess more accurately: which application or stores are the top priority, and what specific data is needed (catalog, prices, stock, product cards)? And is the data collection one-time or regular on a schedule?

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Good day! I am working specifically with the mobile API — I set up a proxy (mitmproxy/Frida on Android), capture real application requests, analyze headers and the token scheme (how it is issued and updated), and based on this, I write a collector directly to the API, without fragile HTML parsing. I am oriented towards rozetka and similar e-commerce platforms. I will leave the documentation with the logic so that you can maintain the solution yourself. How many products and categories need to be captured in one run? This affects throttling and timelines.

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Good day. I am ready to complete this project and have extensive experience in developing various applications.

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We already have an almost ready AI solution for such data collection, which can be quickly adapted to your source, and we can discuss this in the exchange correspondence; I am available.))
Regarding the timeline, I would suggest the first technical phase to take 5-7 days - traffic interception, request mapping, authorization verification, a prototype for data collection through the mobile API, and brief documentation.
Please note, it is important to have a legal access scenario without bypassing protection; otherwise, the solution may be fragile and risky.
From similar experience, we have worked with marketplaces, integrations, data monitoring, personal accounts, and business process automation.
We will create the documentation so that you can maintain the solution yourself, plus we can add AI monitoring of API changes and notifications if the source changes responses or authorization.
Please clarify which specific Android application needs to be analyzed and which product fields are required in the first version.
Another question - do you have a test account in the application and an example of the desired output?
https://business.ingello.com/prime-eva - similar in terms of e-commerce, complex integrations, and production processes.
https://business.ingello.com/eva - closest in terms of marketplace monitoring and data collection.
… https://business.ingello.com/vorfahr - indirectly close in terms of SaaS and AI automation.
Main page for the exchange - https://systems-fl.ingello.com

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Hello!

I have extensive experience in developing solutions for parsing and processing data (various sources, protection against blocking, automation). I am ready to complete the assigned task in the shortest possible time.

I suggest discussing the details in private messages.

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Good day. I have done parsing of protected mobile applications like Copart.com and getContact.com, among many others. I am very knowledgeable in this area. I can write the parsing you need. Message me to discuss.

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Hello, I have experience in intercepting mobile traffic (not just an emulator + SSL certificates + MITM Proxy), but a full-fledged custom solution for proper bypassing of security tools. I have scraped many platforms using this method (Glovo, Bolt, Uber Eats. Previously even Twitter.)

I can help with this issue. Message me privately, and we can discuss.

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Good day! I have significant experience in intercepting and analyzing traffic from mobile APIs (Android), particularly e-commerce platforms. I am ready to implement automatic data parsing from rozetka and similar resources, including decoding authorization and providing detailed documentation.

I will provide real case studies of working with APIs and proxies in private messages. Feel free to contact me to discuss the details.

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The task is completely clear. Regular web scraping will not work here, as mobile applications (especially large e-commerce ones like Rozetka) have a completely different logic for authorization, protection, and token generation. I am ready to implement this task in Python. How your project will be executed: Traffic interception: I will set up a proxy server (Mitmproxy / Charles Proxy) on an Android emulator for complete analysis of the application's requests. If there is SSL Pinning, I will bypass it using reverse engineering tools (Frida/Objection). API analysis: I will find the exact endpoints, extract the necessary headers, dynamic keys, and analyze the logic of authorization token operation and updates. Automation: I will write a quick asynchronous script in Python (Aiohttp / Requests) for stable data collection through the discovered mobile API. Documentation: I will provide you with clean code with detailed comments and instructions so you can easily maintain the script yourself. I have a Python Essentials certificate and successful cases on the platform. I am ready to show details of similar solutions in private messages. Message me, and we will discuss the details!

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Hello! I have a very broad experience in both scraper development and scraping itself.
1. We will create an adequate work specification.
2. I will implement the scraper using the technical stack of your choice.
3. You will receive an analysis, data that will be clearly described and structured.
Write to me, we will discuss!

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Ready to collaborate. I have experience collecting from rozetka via API. ______

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Good day! We have experience in intercepting mobile application traffic and analyzing endpoints for parsing e-commerce platforms. We implement this through the setup of proxy servers, decompiling APKs, and emulating headers to bypass protection. We are ready to promptly start analyzing requests and structuring data.

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Hello, I am a Python developer with experience in developing parsers of varying complexity. I can complete your project quickly and efficiently. Write to me - we will discuss the details. I am ready to start working today. I have extensive experience working with APIs.

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Hello. My approach to this project will be based on a deep analysis of mobile traffic through specialized proxy tools to identify hidden API endpoints and a detailed study of authorization mechanisms, including token management. I will develop a scalable and fault-tolerant solution using asynchronous requests, effective error handling, and integration of strategies to avoid blocks, ensuring stable data collection and high performance. I have significant experience in reverse engineering mobile APIs for e-commerce platforms and possess ready-made software modules that will significantly accelerate implementation and ensure the reliability of the solution. The final result will be accompanied by clear technical documentation for easy further support. I suggest discussing all implementation details, final budget, and timelines in private messages.

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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 :)

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