Parser

Good day.
Our team has many years of experience in developing ERP, CRM, CMS, and specialized business software. We create effective digital solutions that help automate processes, increase productivity, and scale companies.

We work with modern technologies — from bots and scripts to AI agents and analytical systems. Our portfolio includes implemented ERP solutions for the hotel industry, as well as our own product XFitness — an ERP system specifically designed for fitness clubs.

We are ready to implement your project and offer the best solution tailored to your needs.

We specialize in the following areas:
- ERP System Development
… - CRM System Development
- Website Development of any complexity
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and on these technologies:
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Senior Full Stack Dev 11 years experience
Есть опыт в парсинге

Good afternoon,

Interesting project, I would be happy to assist with its implementation. The approximate budget will be: from $500 to $1000.
To provide a more accurate estimate, some clarifications need to be discussed.
For example, here are a few questions that will significantly influence:
1 - How many websites need to be adapted for parsing additional data (sizes, characteristics)? This affects the complexity and duration of the work.
2 - What specific data needs to be extracted from each site, and are there any special conditions required for their filtering or processing?
3 - What are the requirements for the output file format? Is it necessary to prepare the data in a specific order or format (e.g., CSV, JSON, XML)?

… After clarifying these details, I will be able to give a more precise estimate of the cost and time required for the work.

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Good afternoon,

I am ready to start refining your parser on Laravel to extract additional data from websites, such as sizes and product specifications. I have experience in data parsing and automating processes using jobs and queues in Laravel. My rate is $16 per hour.

Best regards,
Maxim

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Dear

I am excited to submit my bid for enhancing your Laravel-based web scraper to collect product specifications, such as dimensions, from various e-commerce websites.

Scope of Work:
The main objective is to extend the current scraper functionality to extract the following additional data points:

Dimensions (e.g., width, height, depth)

… Specifications (e.g., weight, material, color)

These will be extracted from specific product pages and saved into a structured file (e.g., JSON or CSV), in addition to the existing data (name and description). The scraping process will work seamlessly within your existing Laravel architecture and job/queue system.

Proposed Solution:
Extend Scraper Logic:

Update your existing scraping logic to locate and extract dimensions and specifications from the product pages using XPath or CSS selectors.

Data Handling:

Store the extracted dimensions into the existing data structure alongside product name and description.

Ensure consistency, handling cases where dimensions may not be available for certain products.

Queue Integration:

Ensure that the scraping process runs efficiently in the background via Laravel’s job and queue system.

Handle retries and job failures in case of timeouts or missing data.

Data Storage:

Implement data saving into a file (e.g., JSON or CSV) or any format that suits your needs.

Alternatively, save to a database if required.

Error Handling and Logging:

Implement robust error handling for cases where product specifications are missing or the page structure has changed.

Log errors to track and resolve issues quickly.

Timeline:
I estimate that the project will take approximately 2-3 weeks for full implementation and testing.

Budget:
after contact
Efficient & Scalable Solutions: I prioritize building solutions that are efficient, scalable, and easy to maintain.

Full Support: I provide full post-deployment support to address any questions or issues that may arise.

I look forward to the opportunity to collaborate with you on this project. Please feel free to reach out with any questions, or if you would like further details on my approach.

Best regards,