Budget: 5000 UAH Deadline: 7 days
Hello. I have extensive experience in developing parsers. I am ready to collaborate.
A parser needs to be written that will pull prices for iPhones starting from model 11.
If there is no stock, an empty cell.
If there are multiple conditions, both conditions need to be pulled.
If there is a new/used battery, the maximum available price needs to be pulled.
If the store does not have a division by conditions, there should be an option in the admin panel to select a default condition for this store.
Budget: 5000 UAH Deadline: 7 days
Hello. I have extensive experience in developing parsers. I am ready to collaborate.
Budget: 1100 UAH Deadline: 1 day
Hello.
I develop parsers in NodeJS. I am ready to take on the task. Write to me, we will discuss.
Budget: 1100 UAH Deadline: 1 day
I can do it today in a few hours if the websites do not have complex anti-scraping protection.
I will implement the logic:
iPhone from model 11
if not in stock - empty cell
if multiple conditions - pull all
if there is a new/used battery - take the maximum available price
for the store without dividing into conditions - set the default condition in the admin/settings
I just need to get the list of websites and the output format: Excel / CSV / Google Sheets / Database.
Budget: 1100 UAH Deadline: 3 days
Hello!
I can implement a parser. I have experience in parsing and processing such cases.
As a result, you will receive structured data (Excel or Google Sheets), with correct filling logic and convenient management for different sources.
Please let me know which specific websites need to be scraped for data and if regular price updates are required?
Budget: 1400 UAH Deadline: 2 days
Hello, Mykyta. I have studied in detail the logic of state processing (empty cell, selection of maximum price, default state).
Most will simply offer you a script, but for regular parsing of the used market, a stable system is needed. My solution architecture:
Core: Asynchronous parser (Python + aiohttp/BeautifulSoup) with processing of all 4 of your business normalization rules.
Ecosystem: Direct integration of results into Google Sheets via API. No manual CSV transfers.
Control: Setting up a Telegram bot that will send a log after each run (how much has been collected, whether there were access errors to the donor).
I work exclusively through Safe. Ready to start developing the pipeline today.
Budget: 1200 UAH Deadline: 3 days
Hello.
For this task, a parser is needed with clear normalization rules, not just data extraction from one site. I see this as a two-level pipeline: collecting raw records and normalizing business rules.
I plan to implement separate adapters for each store, extracting iPhones from model 11 and checking:
- product availability (if not available — empty value),
- all available conditions (when there are several options),
- battery new/not new and for this the maximum price rule,
- default condition per store through settings, if the store does not differentiate conditions in the UI.
For robustness, I will add error logging for parsing, slow degradation with unstable HTML, timeouts, retries, and saving results in a single format (CSV/JSON/Excel — depending on your format). I will output prices in a ready structure so that you can immediately upload them to the admin panel or analytical template.
Before starting, I will clarify:
- the list of stores and their target URLs,
- the format of the output data,
- the frequency of updates/restarts,
- whether a separate place is needed for setting the default condition for each store.
I will answer all questions in private.
Budget: 1081 UAH Deadline: 3 days
Good day!
I have 3+ years of experience in parser development.
I suggest discussing the details, as well as the cost and timelines in private messages.
Budget: 1100 UAH Deadline: 1 day
Hello!
I have reviewed the task — I can do this.
I will write a parser in Python that will collect prices for iPhone 11 and above from all the necessary stores. I will correctly handle the logic for conditions (new/used), battery (new/not new), and availability — if the product is not available, the cell will be empty. I will also create an admin panel where you can set the default condition for stores that do not categorize products by condition.
We will discuss all the details — the list of websites, output format, update frequency — in private messages.
Budget: 2800 UAH Deadline: 3 days
Hello, Mykyta! My name is Nina, I represent the developer Valentyn — we write parsers in Python.
The task is clear. We will implement all the logic: iPhone from model 11, an empty cell in case of absence, all states if there are several, maximum price for the battery.
Why not 1081 UAH? Because the admin panel with default state settings is a separate job. For a small amount, you will receive a parser without support, which will break when the website structure changes.
We are creating a stable solution with logging, error handling, and a convenient admin panel — so that new stores can be easily added in the future.
Budget: 2800 UAH. Deadline: 3 days.
Question: from which stores do you need to pull prices? Write back — we are starting.
Budget: 4000 UAH Deadline: 3 days
Good day! I develop custom Python solutions: data analysis, process automation, scripts, parsers, ETL pipelines. The cost starts from 4000 UAH. Details: www.engine-web.od.ua/
Budget: 1100 UAH Deadline: 1 day
Hello! I specialize in parsing complex websites using Python (Playwright/Selenium). I can easily implement your logic for selecting the maximum price for the battery and mapping the states.
I have experience in developing admin panels, where you will be able to set the default state for each individual store, as you requested.
For an accurate estimate, please clarify:
1. From which specific websites/sources do you need to collect data?
2. What is the total volume of products and how often do you need to update prices?
3. In what format do you need the final result (Excel, Google Sheets, or database entry)?
I am ready to discuss the details, feel free to message me!
Budget: 5000 UAH Deadline: 1 day
Good day. I am ready to complete this project as I have extensive experience in application development.
Budget: 1081 UAH Deadline: 3 days
Hello! I am Volodymyr, the founder of the engineering agency Vaysed. Developing fault-tolerant data collection systems and bypassing anti-bot protections is our direct profile. Your task has a clear algorithmic logic that we will definitely implement.
We will write a parser (in Node.js or Python) that will autonomously collect data on iPhone 11+. The logic of the parser will clearly process your conditions: if the product is not available, the cell remains empty; if there is a gradation of conditions, the system extracts all options, and for configurations with different batteries, the maximum price is automatically parsed. To solve the problem with stores that do not differentiate between conditions, we will deploy a convenient mini-admin panel. This could be an integration with a database, where you can rigidly set a default condition for a specific donor domain in a familiar tabular interface.
You can evaluate our engineering approach to developing complex parsers and automation system architecture on our website: https://vaysed.me/
Please send me a list of websites from which prices need to be pulled in private messages. I will analyze their protection and formulate an accurate budget and timeline for launching the system.
Budget: 1081 UAH Deadline: 1 day
Hello!
We are dZENcode – a full-cycle digital solutions development company: from design and programming to integrations and post-release support. We take on projects from scratch and also engage in the improvement of existing solutions.
We can create a price parser for this task.
For which stores is parsing needed? Is there a need for immediate setup of rules based on states and availability?
You can find detailed information about our services and rates on our website: Freelancehunt
Take a look – we will discuss the details of the work further, write when you are ready.
⚠️ After clarifying all the details, we will determine the scope, the suitable format of cooperation: task-based, outsourcing, or outstaffing, and the final cost.
_________________
Best regards,
Denis / dZENcode
Why projects with us are guaranteed to reach release:
💎 10+ years providing IT services;
🔥 90+ in-house specialists;
🚀 250+ public reviews since 2015;
⚙️ We support the product according to SLA after launch;
✅ We work under NDA and a contract with the company!
Budget: 6500 UAH Deadline: 3 days
Good day
My name is Dmytro
I can write a parser for your task considering all conditions regarding prices and logic
What I will do
Parsing iPhones from model 11
If the product is not available — empty value
If there are different conditions — I will pull all
If there is a different battery condition — I will take the maximum price
If the store does not provide a division — I will make it possible to choose a default condition in the admin panel
I will also do
A convenient data structure (table / Excel / database)
The ability to update prices
A simple admin panel or config file for managing logic
Regarding timelines
2–4 days
I am ready to discuss the details and start immediately
I will be happy to collaborate
Budget: 1081 UAH Deadline: 1 day
Hello there,
I am ready to write a parser in Python to collect prices for the iPhone from model 11 with the required logic regarding conditions, battery, and missing data.
I will make sure that the parser:
leaves an empty cell if the product is out of stock;
pulls both conditions if there are several options on the site;
selects the maximum available price for new/not new batteries;
sets a default condition if the store does not have a division by conditions;
saves the result in a convenient format: Excel/CSV or SQL database.
I work with Python, BeautifulSoup/requests/Selenium if needed, I have a good understanding of the structure of online stores and can quickly adapt the parser to different sites. I am ready to complete it in 1 day after receiving the list of stores and the desired table format.
Budget: 1100 UAH Deadline: 1 day
Hello! I am Roman, an individual developer with 4 years of experience, so I will professionally implement a price parser for iPhone (from model 11 and above) with flexible logic for processing conditions and batteries, integrating it into a convenient admin panel for managing the settings of each store "by default"; my approach based on Node.js or Python allows for automatic extraction of multiple device conditions, filtering the maximum price for new batteries, and leaving empty cells when there is no product, which will provide you with a relevant and structured database for real-time market analysis; I work through a sole proprietorship, delivering a fully ready solution with the possibility of further scaling for new sources, and you can view my work here: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, Behance.
Budget: 1100 UAH Deadline: 2 days
Good day. I am ready to perform the work. I have already clarified the preliminary questions.
Budget: 1081 UAH Deadline: 1 day
Good day, Mykyta! I will create a parser that automatically collects current data from stores and places it in an understandable table: if there is a product - price, if not - empty. I will consider different store structures at the settings level. There will be no need to manually edit anything when adding a new source. Everything will be done through the admin panel. Please tell me how many stores there are and if there is already a format for outputting the data, I will provide exact timelines and costs.
Budget: 1100 UAH Deadline: 4 days
Good day! I have experience in creating parsers and bots. I will do it, depending on further conversation discussing the details, on time or earlier. Feel free to contact me in private messages, we will discuss the details.
Budget: 2000 UAH Deadline: 1 day
Hello! I can implement it. Write to me privately to discuss all the details. I will be glad to cooperate!
Budget: 1100 UAH Deadline: 1 day
Good day. I am ready to perform. Details can be discussed in private messages.
Budget: 1081 UAH Deadline: 3 days
Good day!
I am ready to write a parser for an online store of used mobile phones that will extract prices for iPhones from the 11 model. I take into account your requirements: empty cells in the absence of data, extraction of multiple conditions, maximum price for batteries (new/not new), and flexibility in choosing the default condition in the admin panel. I have experience with web parsing and complex specifications.
Contact me in private messages to discuss the details.
Budget: 5000 UAH Deadline: 10 days
Hello
I have extensive experience in parsing
Will this be parsing from one store or multiple?
What is the export format for this data?
I will create a flexible system into which a new parser can be easily added, I will create a simple web admin panel
Write to me, we will discuss the details
Budget: 1081 UAH Deadline: 1 day
I have experience in writing price parsers (Python, BeautifulSoup, Scrapy, Selenium). Your task is clear.
What I will do:
Parsing prices for iPhones (from model 11) from possible stores.
If not in stock - empty cell.
If there are several conditions (new/used, battery) - I take the maximum price.
If the stores do not have a division by conditions - the default condition is set in the admin panel.
Data is stored in the database + export to Excel/CSV.
Technologies: Python + Scrapy/Selenium + SQLite/PostgreSQL + Django (for the admin panel) or just SQL + CLI.
Budget: 1100 UAH Deadline: 1 day
Good day
I am ready to complete your work quickly and with quality.
Budget: 1081 UAH Deadline: 1 day
Good day, Mykyta.
Write to me, we will discuss in more detail.
......................................................................
Budget: 1081 UAH Deadline: 1 day
Ready to take it on, but need to look at the source website. Using python, uv, github, docker.
Budget: 1081 UAH Deadline: 1 day
Good day.
I can write a parser.
If you have any questions, you can write to me in private messages.
Budget: 4000 UAH Deadline: 3 days
Good day!
We have experience in developing parsers for online stores and understanding the requirements for obtaining prices for products. For the implementation of this project, we would propose the following approach:
- We will develop a parser that can pull prices for iPhones starting from the 11 model.
- If an empty cell is absent, the parser will continue to operate.
- If there are multiple conditions, the parser will pull prices for all conditions.
- If there is a new/used battery, the parser will pull the maximum available price.
- If there are issues with parsing, we will be able to resolve them quickly.
We offer a price of 4000 UAH for the completion of this project within 15 days.
Добрий день, потрібно розміти об'єм роботи, тобто від чого відштовхуємось?
Адмінка, про яку йде мова, вже існує, чи мені потрібно розробляти її з нуля (веб-інтерфейс + база даних)?
Яка кількість сайтів-магазинів? і чи уже є ця база, чи потрібно ще її окремо парсити?
Чи передбачено бюджет на проксі-сервери та сервіси розгадування капчі, якщо сайти-донори мають захист від ботів?
Як часто парсер повинен оновлювати ціни (раз на добу, щогодини, або за натисканням кнопки в адмінці)?
Де фізично буде працювати цей скрипт (на вашому VPS-сервері, у хмарі, чи на комп'ютері менеджера)?
Роблю ставку із формальною ціною
There is an active production platform with a catalog and automatic updates of external offers and prices. Stack: — Node.js / TypeScript; — PostgreSQL; — existing price refresh service and cron; — separate ready Python module for validation and selection of offers; — staging and production. It is necessary to make targeted improvements to the existing price refresh pipeline without completely rewriting the backend. MANDATORY SCOPE 1. Integration of the Python module — The Python module remains a separate component; — returns a structured result: offers, selected offer, statuses, and risk flags; — Node.js validates the result and performs a write to the database; — provide for error handling and partial/failed runs; — the legacy pipeline is not turned off until QA is completed. 2. Launch refresh by list Add launch: — by one slug/id; — by the provided list of slug/id. Assume CLI or existing service API. A new user interface is not required. 3. Shadow Mode New results must be recorded separately and not affect production until QA. Shadow fields required: — price; — selected offer ID; — direct URL; — offer status; — risk/QA flags; — checkedAt; — engineVersion. 4. Expanding the existing offers table Add: — source; — external_offer_id; — last_seen_at; — last_checked_at; — engine_version; — risk flags or storage in existing JSON; — unique constraint to protect against duplicates. It is not required to create a new parallel offer system if the existing table can be safely expanded. 5. UPSERT, STALE, and DB transaction Replace the current DELETE → CREATE scheme: — UPSERT existing and new offers; — offers missing in the full successful snapshot are translated to STALE; — in case of API error, partial result, or incomplete snapshot, active offers should not become STALE; — updating offers, selected offer metadata, and shadow fields for one model is performed within one DB transaction; — in case of an error, a full rollback is performed. 6. Canonical-safe refresh Price refresh should not change: — brand; — reference; — model; — collection; — name/title; — slug; — descriptions; — images; — SEO fields. Only offer, price, and shadow data are updated. 7. Preserving current cron logic Preserve: — existing cron; — rolling batches; — cooldown; — checking PRICE_REFRESH_MIN_DAYS before calling the external API; — legacy production pipeline until Shadow QA is completed. 8. Audit output One option is sufficient: — shadow columns in the existing admin table; or — CSV export. Minimum data: — model/reference; — production price; — shadow price; — delta; — production/shadow URL; — status; — risk flags; — checkedAt; — engineVersion. A new complex dashboard is not required. 9. Staging and QA — DB migrations; — staging deployment; — smoke test on 5 provided models; — then Shadow Mode on approximately 50 models; — fixing technical errors identified during these runs; — brief documentation of the Python → Node.js contract and rollback procedure. OPTIONALLY ASSESS SEPARATELY Simple technical promotion without a new UI: — promotion of one model by slug; — promotion of a list of slugs; — transferring confirmed shadow values to production; — technical check after rollout. RESULT — Pull Request; — DB migrations; — working integration Python → Node.js; — Shadow Mode; — UPSERT, STALE, and transactional update; — launch by slug/id; — staging deployment; — smoke-test results; — brief documentation; — at least 7 days of bug fixes for the implemented scope after acceptance. IN RESPONSE, INDICATE 1. Fixed price for the mandatory scope. 2. Separate cost for the promotion mechanism. 3. Timeline. 4. Hourly estimate. 5. When you are ready to start. 6. Experience with PostgreSQL transactions, migrations, and ingestion pipelines. 7. What questions need to be clarified before starting. 8. Whether staging, QA, migrations, and bug-fix period are included. Template responses without specific estimates will not be considered. Access to production is not provided at the first stage. Work begins with limited code review and staging.
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