Development of AI agent

Budget: 2000 USD Deadline: 20 days

Hello! I am the project manager of Business Atlas. Building dynamic data collection systems using AI agents is our specialty. For your task, we will use Low-code (n8n/Make) in conjunction with "smart" parsing tools (Firecrawl/Browserless). This will allow the AI to ignore changes in layout and consistently extract meanings rather than just text.
Solution architecture:
1. Adaptive collection (AI Vision): The AI agent analyzes the page structure in real-time. If the site changes its code, the agent finds the new data location by itself.
2. Data hub (Google Sheets/BigQuery): Aggregation of information from 15 sources into a single structured database.
3. Analytical module: The AI compares metrics, detects anomalies, and prepares a text report with specific recommendations (what to change in the strategy).
4. Export: You receive a ready data array (JSON/Table) that is automatically pulled into your dashboards.
Project assessment:
• Cost: $1,500 – $2,200 (depends on the complexity of site protection and frequency of requests).
• Timeline: 15–20 working days.
• Support: 14 days of free support for calibrating the agents' logic.
I will take care of all the technical aspects: from bypassing blocks to AI analytics logic. Message me privately, and I will prepare a workflow scheme. What do you think about this approach? Expand

Budget: 50 USD Deadline: 1 day

Ready to implement.

I will collect data from 15 sources with adaptive parsing (the system will adjust to changes in the structure of websites). The data will be cleaned, normalized, and saved in a convenient format.

I will add an AI agent for analysis and providing recommendations based on identified patterns.

Dashboards are not necessary — I will provide structured data and insights for visualization.

I am ready to discuss sources and requirements.

Budget: 50 USD Deadline: 2 days

Greetings! The task is clear but extremely ambitious for a simple script. To make the agent "adapt" to changes in website structures, it is necessary to use a combination of Python + LLM (GPT-4o/Claude) for dynamic data extraction without a strict reliance on selectors.

What I propose:

Adaptive collection: Development of an agent based on LangChain/Scrapy that analyzes the DOM tree through LLM. If the website structure changes, the AI itself finds the necessary fields (price, description, date).

Integration of 15 sources: Setting up a basic pipeline for collecting data into a single format (JSON/CSV/Database).

AI analytics: Implementation of a recommendation module that provides a brief report/insight based on the collected data.

The budget in the terms of reference appears to be "test." The actual development of an adaptive agent for 15 sources costs more, but I am ready to discuss an MVP for the first 2-3 websites to confirm quality. Expand

Budget: 50 USD Deadline: 1 day

Hello.
I can help with the development of such an AI agent: to collect data from 15 sources, build a robust data collection, normalization, and analysis pipeline, as well as implement a recommendation block based on the obtained data. For such tasks, non-fragile parsers with fixed selectors work better now, as well as a more adaptive approach with fallback logic, browser automation, and AI-oriented parsing of page structures when websites change.

What I can do for your project:
set up data collection from 15 sources;
think through the architecture so that the system is more resilient to changes in website structures;
organize data cleaning, normalization, and storage in a convenient format;
prepare data for graphs and dashboards;
implement an AI block that will analyze the collected information and generate recommendations based on specified rules or through LLM.

I would suggest building the solution in stages: first, agree on the exact list of sources, fields, and update frequency, then create stable data collection, and only after that - analytics and recommendations. This approach usually yields better results because it is important to ensure the quality and stability of the data first, and then build the "smart" part on top of it.

I have experience with parsing, automation, APIs, data processing, and AI integrations, so I can quickly get involved and offer a practical solution without unnecessary complexity. If needed, we can even start with the first stage - just with data collection and preparation, and connect recommendations in the next step.

Regarding cost and timelines, I will be able to provide more precise information after clarifying the details: which specific 15 sources, whether there is authorization, what data needs to be collected, how often to update, and in what format you want to receive the results. I can start in the near future. Expand

Budget: 100 USD Deadline: 4 days

Hello
I have several ideas on how this can be implemented properly.

I write in Python, we can discuss and I will start the development.

Budget: 1800 USD Deadline: 14 days

Good day!
I implement similar tasks turnkey — from stable data collection to preparing the structure for analytics and recommendations.
I focus not on "parsing as such," but on ensuring that the system operates stably during website changes and does not require constant manual intervention.
How this will be implemented:
Data collection through API or browser parsing (Python / Playwright) depending on the source.
Processing logic that tracks structural changes and adjusts collection without stopping the process.
Centralized data storage in a convenient format (tables or databases).
Preparation of a clean data structure for your dashboards.
Separately — an analysis module that identifies deviations and generates recommendations.
What you will receive:
Stable collection from all sources without "drops" during website changes.
Normalized data ready for use.
Scalability and the ability to connect new sources.
A clear logic that can be maintained, not a "black box." Expand

Budget: 200 USD Deadline: 1 day

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

Budget: 130 USD Deadline: 5 days

Hello! I specialize in automating business processes using AI. I offer the development of an agent based on GPT-4/Claude with integration through Make.com. My approach is not just a chat-bot, but a "digital employee" that can perform specific actions (sending data to CRM, generating reports, processing orders). I have experience in Lead Generation, so I understand how the bot should communicate to bring real benefits to the business.

Budget: 50 USD Deadline: 1 day

Good day, Zhen!
In general, the task is clear, but for an accurate answer regarding the deadlines and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages — we will discuss the details and your wishes.

Budget: 50 USD Deadline: 3 days

Good day! I am a specialist in automation and AI integrations. I will develop a stable AI agent for data collection from 15 sources. The solution will be adaptive to changes in website structures, will provide information analysis, generate recommendations, and prepare data for further visualization in dashboards.

Write to me in private messages to discuss the details.

Budget: 50 USD Deadline: 2 days

Good day.
20 years in development, including experience in automation with AI.
I am waiting for details in private messages to assess timelines and costs.
What are the sources, how to structure the information, where to save it, is an admin panel needed for this, is it necessary to parse different cards from the source?

Budget: 70 USD Deadline: 7 days

Hello!

We are the Codentix student team. We looked at your task. Creating a smart data collection tool that does not break with changes in website layouts is exactly our area of expertise and a very relevant task right now.

Regular parsers fail with any design update. Therefore, we will write a script (in Python) that will fetch the entire page and send it to the API of a neural network (GPT-4 or Claude). The AI will understand the context of the page, find the necessary data regardless of the HTML structure, and return it in a strict format (for example, JSON). Then we will write the logic for the same AI to analyze the collected data and provide textual recommendations. We will structure the data in a way that makes it convenient for you to integrate it into your dashboards.

Since our team is currently actively building our reputation on the platform, we are ready to do this project almost at cost. We need a strong case and a good review right now, and you will receive a complex AI tool without huge overpayments to agencies.

For an accurate estimate, we have a few questions:

Can you show at least 2-3 websites from these 15 sources? We want to check if there is any strong bot protection (for example, Cloudflare).

What specific parameters need to be collected from the websites?

In what format should the bot save the data to make it convenient for you to build graphs (SQL database, Google Sheets, CSV)?

If our approach resonates with you, please message us privately, and we can discuss the details and start working.

Roman, Codentix Expand

Budget: 51 USD Deadline: 1 day

Good day.
Our team has many years of experience in developing ERP, CRM, CMS, and specialized software for businesses. 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. We develop websites of varying complexity. In our portfolio, we have implemented ERP solutions for the hotel business, as well as for companies engaged in the import and sale of goods, and our own product XFitness — an ERP system created specifically for fitness clubs.

We are ready to implement your project and offer the best solution tailored to your needs.
Our portfolio: Freelancehunt

We specialize in the following areas:
- Development of ERP Systems
- Development of CRM Systems
- Development of Websites of any complexity
- Development of CMS Systems
- Support for Websites
- Development of OpenCart
- Support for OpenCart
- Modification of OpenCart
- Refinement of OpenCart
- Development of WordPress
- Support for WordPress
- Modification of WordPress
- Refinement of WordPress
- Development of ECommerce
- Support for ECommerce
- Modification of ECommerce
- Refinement of ECommerce
- Development of Web Applications
- Support for 1C Servers
- Support for Web Servers
- Development of mobile applications
- Data parsing
- Development of bots
- Development of AI agents

and on the following technologies:
- Python
- PHP
- Laravel
- Symfony
- Yii2
- JS
- NodeJS
- jQuery
- TypeScript
- MySQL
- HTML
- CSS
- Vue
- Nuxt.js
- React
- React Native
- C++ Expand

Budget: 1200 USD Deadline: 30 days

Hello! I represent the development team at Hopeok Code Studio. Your task is exactly the case where classic parsers become powerless, and artificial intelligence reveals its true potential. We have extensive experience in developing Python scripts and integrating AI agents and are ready to implement this system.

How we propose to solve your task:

Adaptive Data Collection (AI-Scraping): Instead of rigid selectors (XPath/CSS) that break at the slightest change in website design, we will develop a smart agent in Python. It will use an LLM model (for example, via the OpenAI API) for semantic analysis of the DOM tree. The agent will "read" the page and find the necessary blocks based on their content, making the system resilient to redesigns of the sources.

Structuring for Dashboards: The collected data will be automatically cleaned and compiled into a single database (PostgreSQL/MongoDB) or provided via API in JSON format. You will only need to connect this database to your dashboards.

AI Analytics: A separate module will accept aggregated data arrays and generate conclusions and business recommendations based on the system prompts you provide.

Cost and Timeline Assessment:
Since creating a "smart" parser requires configuring the neural network for different structures, we propose to divide the project into two parts for your security:

Stage 1 (MVP - Basic Architecture): Creation of the AI agent core, connecting the first 3 sources, configuring the recommendation module, and issuing structured data. This will allow you to quickly test the quality of the analytics.
Estimated cost of Stage 1: $400 - $500 (timeline: 1 - 1.5 weeks).

Stage 2 (Scaling): Connecting the remaining 12 sources, configuring bypassing protection (if there are Cloudflare/captchas on the sites), and final load testing.
Total cost of the entire project: approximately $1200 - $1500 (timeline: 3-4 weeks).

We are focused on creating reliable systems that operate without constant programmer intervention. I would be happy to discuss the architecture of the future database and see the list of sources for an accurate assessment.

We are ready to answer your questions! Expand

Budget: 50 USD Deadline: 1 day

Hello! I developed such an AI. The source files are left. I will do everything quickly and efficiently.

Budget: 50 USD Deadline: 3 days

Hello! After reviewing your project, I am ready to start working on it. I can offer optimal solutions to achieve the best result.

Budget: 50 USD Deadline: 3 days

Good day!

I will develop an AI agent for data collection from 15 sources, adapting to structural changes. The agent analyzes information, prepares data for graphs, and provides recommendations. Experience with APIs, parsing, proxies.

Message me privately, and we will clarify the details.