Budget: 25 EUR Deadline: 1 day
I can write a script for the console or, to make it as convenient as possible, a browser extension that will do this. Feel free to contact me; I have done similar work for https://www.amazon.com/
There is a page https://www.pigienergija.lt/goods/top_goods, on it are 454 products. I need some code that I could run in the console in the browser to download the stock of each product. Essentially, when adding to the cart, if you specify too large a number, the site says that they do not have that much product. Is there a way to simulate requests to their server so that in the end their server responds with how many products are actually available? The site is small, I don't think there is any serious protection against bots or anything like that. I need to export the data to a CSV file. The idea is that I could run this code every day for a month to find out which products sell the best. Please suggest a price.
Budget: 25 EUR Deadline: 1 day
I can write a script for the console or, to make it as convenient as possible, a browser extension that will do this. Feel free to contact me; I have done similar work for https://www.amazon.com/
Budget: 9999 EUR Deadline: 3 days
Good day. I can create such a parser, but as a separate application, not a script for DevTools. The result will be the same.
Budget: 25 EUR Deadline: 5 days
Hello! I understand the task — we need to obtain the current number of available products on the website pigienergija.lt by simulating adding to the cart and parsing the response about the maximum available quantity. This can be implemented through the browser console using a JavaScript script that automates the process, bypasses restrictions, and exports data in CSV format. The script will be resilient to possible simple protections (for example, IP blocking or rate limits), and it can be run manually every day or through automation (for example, using Puppeteer or Playwright, if needed). I will also ensure logging and error handling so that data is collected consistently over the month. We have already implemented similar projects for clients who analyze the market through changes in product availability. I am ready to do everything efficiently and quickly.
Budget: 25 EUR Deadline: 3 days
Hello!
I am ready to implement a solution for obtaining product stock by simulating add-to-cart requests.
What will be done:
analysis of site requests (Network)
obtaining IDs of all products
sending requests with a large quantity
extracting actual stock
exporting to CSV
a script for running directly in the browser console
The script can be used daily to track sales.
Budget: 120 EUR Deadline: 2 days
Good day. I am engaged in the development of parsers/websites. I will do everything quickly and efficiently. I have made similar parsers in large quantities.
Price: $120
Deadline: 1-2 days
The price and deadlines are stated at first glance. Without detailed study.
More details in private messages.
Budget: 100 EUR Deadline: 2 days
I propose implementation with hosting on my server and support for stable operation. Update once a day and send a link to the file or a permanent link. I did tests to find a way to check availability, I found an option. Write to me, we will discuss the details and I am ready to start.
Budget: 200 EUR Deadline: 2 days
Hello! I have experience in parsing and programming in general on Python. I implement quickly and efficiently. I can even make it so that you automatically receive a file every day. Feel free to contact me)
Budget: 9999 EUR Deadline: 15 days
Good day, I am interested in your task.
I can create a script that simulates add-to-cart requests, extracts actual stock limits for each product, and exports the data to CSV optimized to run directly from the browser console.
I’ll also make sure it runs safely and efficiently for repeated daily use, we can finalize the budget after a quick review.
Budget: 1500 EUR Deadline: 10 days
Hello!
I fully understood your task regarding the website https://www.pigienergija.lt/goods/top_goods (454 products).
You need a JavaScript script that runs directly in the browser console (F12 → Console) and does the following:
Automatically navigates through all 19 product pages (pagination /page/24, /page/48, etc.)
Collects the name, product code, and link for each of the 454 items
For each item, simulates adding to the cart with a very large quantity (for example, 99999 pcs.)
Catches the server response with the message "not enough product" and extracts the actual quantity in stock
Saves everything in a CSV file (with columns: date, name, code, stock, link)
The script can be run every day (just paste it into the console once a day). After a month, you will have excellent statistics — the decrease in stock immediately shows which products sell best.
What I will do
A fully functional single-file JS code (without installing extensions and programs)
Automatic navigation through all pages + error handling
Correct parsing of the stock message (even if the text is in Lithuanian)
A nice CSV with a ";" delimiter and the date in each run
Comments in the code + instructions on "how to run it every day"
I have already made 10+ similar stock parsers specifically through cart simulation (including for Lithuanian and European stores)
The site is small, there is no protection against bots — the script will work reliably
After delivery: 14 days of free revisions + I will show you how to run the script with one button (can be saved as a Bookmarklet)
If you want, I can do a mini-demo right now (parsing 1 page + getting stock for 3-4 products) and send it to you within 30-60 minutes, so you can see that everything works.
I will be happy to answer any questions.
Best regards,
Budget: 200 EUR Deadline: 2 days
Hello, I will complete this task without any problems. The price will not be 9999 EUR as you indicated in the budget. It will be 200 euros. I found a way to obtain the remaining products, I will complete it without any issues, I have studied the website thoroughly. If you need a quality solution - I am waiting for private messages.
https://www.pigienergija.lt/d20xd4x5-n42-neodymium-magnetas#good_tabs_buttons=0 - 1901 product at the moment
Budget: 10000 EUR Deadline: 5 days
Hi,
I can make Python script to scrap data from the page.
And I can give you completed script in maximum 5 days.
Thank you.
Best,
Jeo
Budget: 9999 EUR Deadline: 3 days
Hello, I am ready to implement. Write to me privately, we will discuss the best way.
The price will be much lower than you specified))) Around $100-200.
Budget: 9998 EUR Deadline: 1 day
Good day, I will make you a parser and it will run by itself, whether on Windows or anything else. The price is $50. Write to me and we will discuss.
Budget: 9999 EUR Deadline: 2 days
Good day
I will write a script in PHP that automates all these actions
It will work automatically and provide you daily or more frequently with a file containing the actual stock of goods
I have extensive experience
The cost is 250 euros
Budget: 9999 EUR Deadline: 1 day
Good day.
I can provide you with the ability to generate a CSV file with products when the button is pressed.
It will cost 50 EUR.
If you have any questions, you can write to me in private messages.
Budget: 9999 EUR Deadline: 20 days
Hi Pavel, I can definitely help you with this. I understand exactly how to simulate the "add to cart" requests to find the maximum available stock for each of the 454 products on your list. I will provide a clean JavaScript tool that you can run in your browser console to find the real stock limits and export everything directly to a CSV file.
Having built large online stores like BioLite and Sister Jane, I am very familiar with how e-commerce servers handle these requests and can ensure the script works smoothly. I am online right now in Karachi and can have this ready for you today so you can start tracking your daily sales trends immediately.
Best regards,
Asif Iqbal A.
Budget: 9999 EUR Deadline: 1 day
Hello.
I am developing parsers in NodeJS. I am ready to take it on. Write to me, we will discuss.
Budget: 10001 EUR Deadline: 1 day
Good day! If it is relevant, I can do it, write if it is relevant!
Budget: 9999 EUR Deadline: 1 day
Good day, I am ready to complete your task quickly and efficiently, I have extensive experience in developing various parsers. Write to me in private messages and we will discuss the details. I will be happy to help)
https://www.pigienergija.lt/d20xd4x5-n42-neodymium-magnetas#good_tabs_buttons=0 - 1901 товар в данный момент
Hello! I am looking for a performer for ongoing collaboration who is knowledgeable about Opencart. A person who is available and has a positive attitude) Parsing, uploading products in two languages UA + ru, as well as forming the necessary markup immediately I want to complete the work in several stages. 1. Update stock for all suppliers and completely remove outdated products from the site and database. 2. Refinement of the product category, specifically parsing subcategories. 3. Parse new items in old categories. 4. Parse new suppliers into new categories.
A project needs to be implemented for collecting and structuring a large array of images from open web sources (initially 2000 images). The task includes: - automated image collection; - uploading files in the highest available quality; - classifying images by categories. Expected results: - a structured image database; - a clear cataloging system; - delivery of the results via Google Drive or another agreed method;
Good day! Two tasks need to be completed: 1. Develop a product parser from an external website (10–40 thousand items, marketplace) with structured data saved in MySQL for subsequent output in WordPress. 2. Install and configure n8n on VPS, as well as organize AI content processing: prompt setup, text rewriting, image processing, SEO optimization, and text checking for AI detection. You can estimate the cost of completing both the entire project and each task separately. .
It is necessary to perform parsing from Viber channels (Total number - 49 channels, about 80 thousand subscribers).
Task: one dashboard with all business metrics — advertising, funnel, payments, manager performance, revenue planning. Data is pulled automatically via API. Scope: only the YCL direction (employment in Europe). Kommo has other directions — only YCL funnel deals will be included in the repository (filter by funnel/tag to be agreed upon).1. Data Sources (Integrations) Kommo CRM — leads, deals, funnel stages, responsible persons, sources, dates of transitions between stages (must keep history), reasons for refusals, custom deal fields (see point 2). Stripe — payments, amounts, statuses (success/failure/refund), linked to deals. Meta Ads — expenses, impressions, clicks, CPL, leads by campaigns (currently operational). Google Ads, Reddit Ads, LinkedIn Ads — planned; architecture — extensible connectors without core rework. SEO/organic— Google Search Console + GA4. Cross-link: traffic source → lead in Kommo → payment in Stripe (UTM, deal ID in Stripe metadata — propose the mechanism). 2. 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Summary: revenue, ROMI by channels, run rate to monthly plan. 4. Deal Cycle Average and median lead → payment cycle (business benchmark ~4 weeks), cycle trend over time. Breakdown of cycle by stages (how many days a deal sits at each stage) — to see which stage is dragging. List of deals that have stalled at a stage longer than normal. Cycle breakdown by segments: citizenship, residence status, country of placement, manager. 5. Early Warning of Decline (Key Block) Since the cycle is ~4 weeks, today's leads = payments in a month. The system must: Compare leads/qualifications of the current week with the moving average (4 weeks) and issue an alert if there is a downward deviation: “leads -X%, with a 4-week cycle expect a payment decline in the week [date].” Build payment forecast for 4 weeks ahead from the current pipeline: deals at each stage × historical conversion of the stage × remaining cycle. Highlight in red weeks where the forecast is below plan — with time to react. 6. Additional Payments and Sales Planning In the Kommo deal card, the date and amount of the planned additional payment are stored. The system must: Collect a calendar of upcoming additional payments: total expected, by weeks/months. Highlight overdue additional payments (date passed, no payments in Stripe) — a separate list for follow-up. Calculate the monthly plan as: plan − already paid − scheduled additional payments = how many new sales are needed (in money and in deal units at average check). Weekly schedule: additional payments + forecast of new payments against the weekly plan. 7. Manager Performance Daily snapshot for each manager: touches/calls, conversations, sent offers, payments — for each day separately, with a chart over the period. Progress on personal plan compared to monthly pace (ahead / on pace / behind). Benchmarking with colleagues. 8. Visualization and Roles “Traffic lights” (green/yellow/red) for key metrics relative to norms/plans; progress scales; trend graphs; mobile adaptive. Roles: CEO — everything; COO — entire funnel and managers; team lead — their team; manager — their metrics and position relative to colleagues. 9. Reports and AI Automated reports on schedule (daily summary, weekly report) in the dashboard and/or messenger. Free-form queries (“how has CPL from Meta changed over 2 weeks?”) — LLM over the repository. Alerts in the red zone and according to the rules from points 5–6. 10. Technical Expectations and Staging Repository (PostgreSQL/BigQuery or equivalent) + ETL: Kommo webhooks + periodic synchronization (15–60 min). Frontend: custom or BI tool — propose with justification; requirements for roles, traffic lights, forecasts, and AI queries must be implementable. Stages: (1) audit and metrics map → (2) MVP: Kommo + Stripe + Meta, funnel, traffic lights, roles → (3) deal cycle, early warning, additional payments and plan → (4) SEO, AI reports, alerts → (5) new advertising channels. Payment is staged, with a demo for each stage. In the response, indicate: similar projects (end-to-end analytics), stack with justification, timeline and cost estimates by stages, monthly ownership cost (hosting, tokens, licenses).