Python Parser (AliExpress - Amazon - Done!) Need - Website on Python + Management + n8n + Push to Vopres
89 USD Good day to everyone!
Our project will be divided into stages.
We need a website that will parse photo text and then the user will work with it and send it to WordPress.
! ! ! We already have a program written earlier in Python Parser (Working)
In the first stage, this will be a parser only for AliExpress (Title description - characteristics - main photo - description photo - parameters (photo and name) \ Title and descriptions from Amazon.
------Front
\\ There is a hint for the front (vibe coding on Lovable - but there 60-80% of our questions are closed)
In fact, the front is not closed..... here we would like to know your opinion, suggest something.
------Back
We need a website on Python that will perform tasks
1) Parse information from AliExpress - Amazon.
2) Users will be needed, but for now only admin
3) The parsed information can be managed. Select which photos are needed (add to the list - OK)
- Title description will be sent to n8n and receive a response from it to insert the answers into the fields
4) Push processed products to the WordPress site
------
Information storage will be on the server as text (links with photos)
----- Currently, we need pages on the site:
- Login
- Dashboard with a list of products for processing
- Page "Work on the product"
--- ABOUT the pages
* Dashboard
- Enter the link to start parsing
- The product appears in the list, click on it to go to the "Work on the product" page, and there is also a "Send to site" button
- Status button processed (ok - not ok)
* Page "Work on the product"
- Add a link (can be to Amazon or another AliExpress) and the parser will start working immediately
- All photos that are parsed will be blocks on the left side, and on the right those selected for upload to the site, and they can be dragged and dropped or selected as needed and click move. There are delete buttons
- All descriptions and all titles and characteristics will be sent to N8n with the button "Send request to N8n" and receive a response from it and insert the response into the cells
- Additional cells will be (slug, meta description, key word)
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1 day89 USD
2078 55 2 1 day89 USD
Hello Ivan, I have commercial experience working with Django, FastAPI, PostgreSQL, and parsing complex web platforms, so the task is clear to me. It is important to first check your front end on Loveable for integration with the backend and discuss Amazon, as the security there is more serious and requires attention. I suggest we first take a look at the code and clarify these details, and only after that will I be able to provide an exact cost for implementation.
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2 days89 USD
1822 10 0 2 days89 USD
Good day, I have experience working with Python as well as Telegram bots, I can complete everything quickly and efficiently, write to me and we will discuss the details.
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7 days89 USD
1100 8 1 7 days89 USD
Hello!
I have experience in developing parsers, and I recently implemented a project for parsing data from resources with subsequent processing in Django. I set up a system that processes data and integrates it with third-party APIs.
I am developing a website in Python that will parse product data from AliExpress and Amazon, with functionality for managing the parsed products and sending them to WordPress via n8n. I will use FastAPI for the backend and set up a database to store information. This will ensure speed and convenience in operation.
Let's discuss the project details!
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5 days156 USD
2148 14 0 1 5 days156 USD
Hello! I am glad to see that you have decided to build the architecture correctly - entirely in Python. This will save you a lot of time and nerves in the future. Since the task is now correctly formulated, I confirm my readiness to take on the project.
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31 days445 USD
417 2 0 31 days445 USD
I can take it. It sounds like a normal MVP, and it's great that you already have a working Python parser — this significantly speeds up the start.
I see Stage 1 (MVP) like this:
Login (currently 1 admin)
Dashboard: add link → create parsing task → list of products + statuses + “Send to site” button
“Working on product” page: 2 columns of photos (all / selected) + drag&drop order + delete, edit title/description/specifications
Integration with n8n: “Send to n8n” button → get response → fill in fields
Push to WordPress via REST API (product + media)
Frontend: we can take your Loveable as a base (if it covers 60–80%), and finish critical parts (drag&drop photos, forms, tables) properly. If you want it fast and stable — I will make a simple admin UI without “redesigns,” but reliable.
Technical implementation (backend on Python):
… Django/FastAPI + task queue (Celery/RQ) to run your parser
Storage: I recommend a minimal database for statuses/search + store “raw” data as JSON/text (as you plan)
Deadline: 2–4 weeks (depends on WordPress structure/media and how exactly your parser is launched).
To fix the exact price, please clarify 4 things:
1) How to launch the parser: CLI command/library/script?
2) WordPress: simple product or do you need attributes/variations?
3) Photos: do we upload to the server or just links (for WP media, uploading is still needed)?
4) n8n: what is the webhook format (input/output) and what specific fields does it return?
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