It is necessary to implement a project for collecting and structuring a large array of images.

Budget: 27000 UAH Deadline: 10 days

We can take the first stage for 2000 images. The timeframe is estimated at 8-10 working days, the cost is 32,000 UAH, if the sources are open and there are no complex access restrictions.

A small automated pipeline would be suitable instead of manual collection - gathering links, downloading the maximum available quality, checking for duplicates, basic normalization of names, classification by categories, and transfer via Google Drive with an index table. This way, there will be less chaos in the following stages, as 2000 files quickly turn into 20000 =)

I would like to clarify two points.
> Are the categories already defined, or do they need to be formed after analyzing the images?
> Do you provide the sources in a list, or do we need to separately search for open sources on the required topic?

From relevant experience at Ingello.
> https://business.ingello.com/vorfahr - automation of data collection and structuring for business processes
> https://business.ingello.com/fractal - complex automations and agent approaches, similar in logic to processing a data array
> https://systems-fl.ingello.com/ua - main page of Ingello Systems for automation and system development tasks

!!Important nuance!! - it is necessary not to break the source rules and not to collect materials where there are clear legal restrictions. It is better to agree on the collection rules once than to heroically sort it out later, as the saying goes - measure seven times, cut once. Expand

Budget: 4500 UAH Deadline: 2 days

Hello.

I develop parsers in NodeJS. I am ready to take it on. Write to me, and we will discuss.

Budget: 1500 UAH Deadline: 3 days

Hello! I'm doing a collection in Python — scraping sources, downloading images in original quality, and categorizing them, which I will provide structured on Google Drive with a catalog. I will take 2000 pieces in batches with pauses so that the sources do not cut off access. Please advise where exactly we are pulling from — specific websites or searching by topic? This will affect the collection method and speed.

Budget: 1000 UAH Deadline: 1 day

Hello!
I am ready to take on your project and will complete it urgently.
I have extensive experience with similar tasks, and there will be no difficulties.
If I have piqued your interest, feel free to write; I am happy to collaborate!

Budget: 5000 UAH Deadline: 3 days

Good day. I can collect 2,000 images from open sources and provide a structured result: files in separate folders, a table with links to sources and categories, as well as instructions for re-running. I work with Python and web scraping, paying attention to duplicates, upload errors, and clear data structure. I will first clarify the sources and categorization rules, after which I will send a test package to agree on the format. If the sources are available without restrictions on bulk downloading, the first stage will take up to 3 days.

Budget: 1000 UAH Deadline: 1 day

Hello! I am ready to implement the automated collection and structuring of 2,000 images from open sources.

I will set up the collection in the highest available quality, duplicate checking, classification by agreed categories, and a clear folder and file structure. I will deliver the database via Google Drive or another convenient method, along with a table of sources and categories.

The collection will be carried out in accordance with the rules of sources and rights to use the materials.

Budget: 2500 UAH Deadline: 2 days

Ready to quickly and efficiently implement a project for automated collection and structuring of an image database. I specialize in web scraping using Python and am prepared to develop a reliable turnkey solution.

I will write an asynchronous parser (using Asyncio and httpx or Playwright). This will allow for downloading images in multiple streams simultaneously. The entire array of 2000 images will be collected in just a few minutes without overloading the source servers. The script will find and download only the originals of high-resolution images, ignoring compressed previews. Using the Pillow library, I will automatically check the downloaded files for corruption to ensure that no junk is included in the final archive. The categorization will be implemented based on the structure of the source website. The result will be uploaded to Google Drive in a clear structure of nested folders. Additionally, I will provide a structured database (SQLite or Excel/CSV table) with metadata: image name, category, source link, and file path.

Budget: 25000 UAH Deadline: 30 days

Good day. If I understand correctly, you need a machine learning model in the classification category. It would be great to discuss the details.

Budget: 3000 UAH Deadline: 3 days

Good day! I am ready to implement automated image collection with the following categorization structure. I have experience in developing parsers and automation in Python, working with file processing and preparing structured data.

To assess the project, I would like to clarify:
- From which specific sources images need to be collected;
- How the category of the image is determined;
- Whether a fully automated classification is required or if the categories will be predefined.

Budget: 5000 UAH Deadline: 4 days

I understood the task - I need to collect 2000 images from open web sources, download them in the highest available quality, and categorize them. I will automate the image collection from the required sources with quality checks before downloading to avoid blurry or broken duplicates. I will classify them into categories using a clear system of folder names or tags that can be easily expanded later. I will deliver the results via Google Drive or another method convenient for you, as requested. I am ready to clarify which specific sources and categories the images should be collected from.

Budget: 25000 UAH Deadline: 14 days

Good day! I am ready to take on the project.
Approach: I will write a script for automated image collection from specified open sources - filtering by resolution (selecting the highest available quality), checking for duplicates, and validating files. Categorization will be implemented through a well-thought-out taxonomy (I will agree on the category structure before starting work) with manual verification of the results for accuracy.
You will receive: a structured folder hierarchy by categories, a metadata file (source, size, category, collection date) in CSV/JSON format, and I will transfer everything via Google Drive (or another method convenient for you).
The timeline of 14 days includes: agreeing on sources and categories (1-2 days), developing the collection script (5-7 days), collecting and categorizing 2000 images (3-5 days), final structuring and transfer (1-2 days).
I am open to clarifications regarding sources and category structure before starting work.

Budget: 4000 UAH Deadline: 5 days

I automate data collection and structuring. Python + parsing + classification. Result: a structured image database with cataloging. I am ready to discuss the details.

Budget: 2000 UAH Deadline: 2 days

Good day, Olga!

I have experience specifically with tasks of this type — I created a parser that automatically collects structured data from open sources (for example, Google Maps: names, addresses, categories, photos) and compiles everything into an organized database. An example is in my portfolio.

Regarding your project: collecting images from open sources, uploading them in the best available quality, and classifying them by categories can be implemented with a Python script (requests/BeautifulSoup or Selenium — depending on the source). I will deliver the result as a structured database: folders by categories + a table with metadata, on Google Drive or in a way convenient for you.

To provide an accurate price and timeline, please let me know: from which specific sources should I collect (specific websites or any open ones), and what criteria should be used to divide into categories? This will affect the scope of work. Approximately for the first stage (2000 images), I estimate the amount below — after clarifying the details, I can adjust it.

I am ready to discuss the details in private messages.

Budget: 1500 UAH Deadline: 3 days

Hello!

I have reviewed your task and am ready to implement the project for collecting and classifying images. I have successful experience in data parsing and automation using Python, so I will complete the work quickly and efficiently.

Budget: 5000 UAH Deadline: 2 days

Hello! Unlike most template responses, I offer you a reliable architectural solution - a custom high-performance parser based on the modern Laravel 11 framework. Using a professional backend stack will completely eliminate the human factor and allow for the collection of thousands of images without errors or crashes.

Since the first stage requires collecting 2000 images (and the volumes will increase further), I will build a system designed for easy scalability.

How the project will be implemented:
1. Smart link collection: A script based on the Laravel HTTP client will crawl the target web sources, ignoring compressed previews (thumbnails), and extract links to the original files in maximum quality from specific attributes (srcset / data-src).
2. Multithreaded downloading (Built-in Laravel Queues): Instead of sequential downloading, the process will be broken into background tasks (Jobs) and run in multiple threads through workers. This will allow for downloading 2000 images in just a few minutes. I will set up proper timeouts and header rotation to avoid blocks from the sites.
3. Automatic cataloging: The script will analyze the source structure (tags, categories in the URL) and, using Laravel Storage, will automatically sort the files into the appropriate folders. You will receive a clear and understandable hierarchy as a result.
4. File validation: Before saving, each image will undergo an automatic integrity check (corrupt or damaged files will be filtered out).
5. Transfer: I will create an archive with the ready directory structure and upload it to your Google Drive.

Timeline and cost (for the first stage of 2000 images):
- Timeline: 1-2 days.
- Cost: approximately 3600-5000 UAH, (I can provide a more accurate estimate after analyzing the source sites).

Please send the links to the web sources in private messages so I can assess their structure. I am ready to discuss the details in PM! Expand

Budget: 1000 UAH Deadline: 1 day

Hello!

I am ready to develop such a system.

I suggest we discuss the details in private messages.

Budget: 3999 UAH Deadline: 5 days

Hello! I am ready to take on the project. Collecting and structuring 2000 images is a familiar task for me; I will implement it through an automated Python script with uploads in maximum quality and sorting by categories. I will deliver the result via Google Drive in a clear folder structure.

Please clarify: from which sources are we collecting images and how many categories for classification? This will affect the exact cost and timeline. Approximately — 3–5 days, and we will discuss the cost after clarifying the details.

Budget: 8000 UAH Deadline: 5 days

I quickly automate the collection, uploading, and classification of images using Python scripts. I structure the result into a convenient directory and will share it via Google Drive.
Write to me, and we will discuss everything in detail, and I can start working immediately.

Portfolio: Freelancehunt
Reviews: Freelancehunt

Budget: 4000 UAH Deadline: 5 days

Hello! I am very interested in your project. I have strong practical experience in web scraping, data collection automation, and working with large arrays of media files, so I can complete this task quickly and "turnkey."

Here’s how I will solve your task:

Automated collection: I will write a custom script (using Python, BeautifulSoup/Scrapy, or Selenium) that will quickly and losslessly gather the required 2000 images from the sources you specify.

Maximum quality: I will configure the algorithm to "fetch" direct links to the original files (in the highest available resolution), ignoring compressed thumbnails (previews).

Classification: I will implement automatic sorting. The script will immediately organize the downloaded files into the appropriate category folders based on tags, breadcrumbs, or the structure of the donor site.

Delivery of results: You will receive a link to Google Drive, where there will be a clearly structured archive with a logical directory system (for example: Category -> Subcategory -> Images).

The cost is indicated if there are no protections and anti-bot systems on the sites. Expand

Budget: 1300 UAH Deadline: 1 day

Hello! The task is clear, and I am ready to implement it for you within the next 24 hours. To discuss the details and finalize the specifications, please write to me in private messages. I will be waiting!

Budget: 5000 UAH Deadline: 4 days

It is necessary to automatically collect 2000 images from open sources, download them in maximum quality, and organize them into categories in a clear structure.

I will implement this in Python: Playwright or requests+BeautifulSoup for bypassing protection, downloading originals through Content-Type and file size verification. Classification will be done either by metadata/URL structure of the source or through a CLIP model if categories need to be determined automatically. The final structure: folders by categories + CSV register with name, source URL, size, and category. Transfer via Google Drive.

I will preemptively include deduplication by file hash to prevent duplicates from cluttering the database.

What specific sources or themes of images are defined, and are the categories already determined or do they need to be identified automatically?

Budget: 8000 UAH Deadline: 7 days

Good day, I can easily implement the collection and structuring of images from open web sources - automated parsing, downloading in maximum quality, and classification by categories. I have over 5 years of experience in Python automation, and I solve such tasks using Scrapy / Playwright + my own classification logic. A few clarifications: from which specific sources do you plan to collect (specific websites or general thematic search)? And by what criteria should the classification be done - are there ready categories or do they need to be defined by yourself? I look forward to your message in private!

Budget: 2000 UAH Deadline: 3 days

Hello! The task is clear. I have experience in writing parsers in Python. I will complete the volume of 2000 images in the highest possible quality. I will implement the classification through AI integration, and before sending it to you, I will manually check the entire table.

Before starting, I would like to clarify which sources and which specific categories you expect. Write to me! I will be happy to collaborate.

Budget: 27000 UAH Deadline: 7 days

We have an almost ready solution for collecting, quality checking, and classifying images - we can quickly adapt it to your sources and launch it, I'm here to communicate ))
for the first stage, 2000 images are estimated at 28,000 UAH and 7 days after agreeing on sources and categories.
we will do automated collection, size and duplicate checks, upload in the highest available quality, folder structure, a table with metadata and categories.
if needed, we will add AI classification to avoid manual sorting and quickly scale the database after the first stage.

- what sources and types of images are allowed for collection?
- are the categories already defined or do we need to build a category tree from scratch?

we need quality criteria, examples of correct categories, and access to the agreed file transfer method, for example, Google Drive.

- https://business.ingello.com/fractal - similar in logic to AI agents and data processing automation
- https://business.ingello.com/vorfahr - a close example of systematic data collection, product approach, and automation
- https://systems-fl.ingello.com/ua - our main landing page for system development for the exchange Expand

Budget: 5000 UAH Deadline: 2 days

Bro, this is a classic task for building a pipeline to prepare a dataset. Since you already know how to build architecture for collecting and validating data arrays, downloading and structuring 2000 images is a task for one evening.

We show the client an engineering approach: instead of unstable scripts, we offer asynchronous collection with error handling and metadata generation.

✍️ Text of the bid for the "Comment" field
Hello! I am ready to implement a reliable engineering pipeline for collecting and structuring a media dataset for you. I have extensive experience in developing parsers and automated systems for processing large data arrays in Python.

Here’s how I will implement this project:

Automated asynchronous collection: I will write a fast script that will collect images in multiple streams. This will allow downloading the entire volume in maximum quality in just a few hours, considering the limits of web sources and bypassing basic bot protection.

Validation and filtering: The script will automatically check files for integrity, duplicates (by hash sums), and format compliance to filter out damaged or too small images.

Clear cataloging: I will categorize images according to your requirements. Additionally, I will add a structure file (JSON or CSV) that will have a clear mapping: file name, category, direct link to the source, and size.

Delivery of results: I will package the structured archive and upload it to Google Drive (or another cloud service convenient for you).

I am ready to discuss details, sources for parsing, and classification logic. Feel free to write, I will be happy to collaborate! Expand

Budget: 12000 UAH Deadline: 7 days

Good day! We have experience in developing parsers and automated media content processing systems. We implement this through Python scripts using the Selenium or Playwright libraries for data collection and machine learning algorithms for classification. We will ensure stable loading in high quality and structuring of the database according to your requirements.

Budget: 1234 UAH Deadline: 1 day

Hello, I have relevant development experience.
Message me privately, we will discuss the details.
I will be happy to help you!

Budget: 2200 UAH Deadline: 3 days

Hello, I can implement this.
I will automatically gather images from open sources, upload them in the highest available quality, classify them by categories, and prepare a structured database with a convenient cataloging system.
I have experience in developing parsers and automated collection of large volumes of data.

As a result, you will receive an organized folder structure with images and transfer via Google Drive or another convenient method. If needed, I can also implement duplicate checking and add metadata to each image.

Please let me know which specific web sources you need to collect images from and how you plan to perform the classification.

Budget: 1500 UAH Deadline: 2 days

Good day!
I am ready to take on the project of collecting and structuring images.
I have experience in automating routine tasks — I developed my own Python/Selenium agent for working with web platforms, so I can build a similar tool for automated image collection from open sources: page scraping, downloading files in the best available quality, saving metadata (source, date, size).
What I will do:

I will set up a script for automated collection of 2000 images based on specified criteria/keywords;
I will download files in the best available quality while checking for duplicates and broken links;
I will structure the database by categories (folders + a table with metadata: title, category, source, size, date);
I will deliver the results via Google Drive in a user-friendly navigable structure.

To assess the scope and timeline, please clarify:

what specific categories of images are needed and approximately how many (this affects the classification logic — manual verification or automatic by keywords/AI recognition);
from what types of sources is collection planned (specific websites, stock resources, search engines) — this is important for the legality and stability of automated collection;
is AI classification needed (for example, automatic tagging by content), or is it sufficient to collect based on specified search queries.

Estimated completion time: 2 days
Cost: 1500 Expand

Budget: 1200 UAH Deadline: 2 days

Good day, I have extensive experience in writing automation scripts, so I would be happy to help you with your project, but I still have a few questions. Do you provide a source of images to download, a list of categories, or filters by which we will classify the images?

Budget: 1000 UAH Deadline: 1 day

Good day! I develop in Python, have worked on similar projects with React/Node.js, and am ready for collaboration.

Budget: 700 UAH Deadline: 1 day

Good day, Olga!
I will technically implement it as follows: automated image search through an image-search API using keywords, a download script with verification that the file is indeed an image, deduplication by perceptual hashing (which filters out visually identical images from different sources), and categorization.

Separately regarding quality: the source page often shows a reduced version, while the full-resolution file is located at a different link - I check this for each image and record the actual resolution in the final file to show that it is the true original, not a compressed version from the output.

Another point - some websites limit bulk downloads over a short period and may temporarily block access. To avoid hitting this with 2000 files, I pull in batches with pauses between requests, rather than a continuous stream.

The output will be structured folders by category plus an index file (file name, category, source link, resolution), all uploaded to Google Drive.

I have experience in automated data collection from open sources - structuring, deduplication, cleaning irrelevant data - the method is the same, only instead of contacts, there will be images here.

A few points that need clarification before starting:
- What is the theme/niche of the images - without this, I cannot start the search and it is unclear how to classify by categories.
- Do you provide the categories, or should I suggest them myself based on the theme?
- "Open web sources" - are these any websites, or specifically royalty-free sources (Unsplash, Pexels, Wikimedia Commons, etc.)? This is important for copyright if you plan to use the database commercially.
- Are there minimum requirements for file extension or format, or will any available from the source be acceptable?

I am ready to start with a small sample (for example, 20 - 30 images across 2-3 categories) to check the format and quality before doing the full volume of 2000 pieces. Expand

Budget: 2000 UAH Deadline: 2 days

Hello!
I have experience in automated collection and processing of large arrays of images from open sources — I have implemented similar tasks in Python (parsers using Playwright/BeautifulSoup, bypassing anti-bot protection, parallel downloading).
Here’s how I see the implementation:

Image collection — I will write a parser script for specific sources (we will clarify together which sites/platforms are needed). I anticipate deduplication (to avoid duplicates) and checking for minimum resolution/quality before downloading.
Uploading in maximum quality — where possible, I will extract original files (not previews/thumbnails), checking through HTTP headers or direct links to the source.
Classification — depending on the specifics of the images, I can do:

categorization by metadata/page context (faster, cheaper);
or using image recognition (CLIP/similar models) for automatic classification by visual content, if greater accuracy is required.

Here I would like to clarify the details — what categories are expected, and if there is an example of the desired structure.
The result — structured folders by categories + a description file (CSV/Excel) with metadata (source, date, category, file size, etc.), uploaded to Google Drive.

I am ready to discuss the details (sources, categorization criteria, quality requirements) in private — there we will agree on timelines and costs. Expand

Budget: 1200 UAH Deadline: 3 days

Hello Ms. Olga!
I am interested in your project and would be happy to do it.
It will take 3 working days, and the cost is indicated in the bid. I would be glad to discuss the details and move forward with the collaboration.

Budget: 700 UAH Deadline: 1 day

I searched the web. I was right — Google requires real testers with real devices. User participation is not counted if they exit testing earlier than 14 days. Testers can be any users with Android who have a Google account — but they must be real devices, not emulators. So emulators won't work — sorry for saying it so bluntly earlier, but the information is correct. Is it not dangerous to be a tester like this? There can't be viruses? The risk is minimal, but there are a few points:
Safe:
— The app is installed via the official Google Play link
— Google checks all apps before allowing them for testing
— A regular app cannot access your data without permission
What to pay attention to:
— Check what permissions the app requests during installation — if a game asks for access to contacts, SMS, camera without reason — that's suspicious
— Don't give unnecessary permissions
In general: if the app is installed via the official Play Console link and not as an APK file — it's normal and safe. Please note that there are several devices. Good day! I am ready to be one of the testers. I will install the app, invite, check the tabs, and will not delete it for 14 days. Send the link to the app. Good day! I am ready to be a tester. I have several Android devices — I can cover several spots at once. I will install the app, invite, check the tabs, and will not delete it for 14 days. Send the link to the app. Best regards, [Name] A careful and responsible person is needed to create and format product cards on the Epicenter marketplace. Main responsibilities: - creating product cards; - preparing the main photo according to Epicenter's requirements; - uploading finished product photos; - filling in characteristics and descriptions. We provide links to the product, live photos, and main information for work. Some characteristics are already in the links, but sometimes they need to be found independently from other sources or, if possible, to select the most relevant ones. Assistance from Chat GPT is welcome if possible. Requirements: - attention to detail; - confident PC usage; - basic skills in graphic editors (Canva, Photoshop, or similar) will be an advantage; - responsibility, independence, and willingness to learn. Experience with marketplaces will be an advantage, but is not mandatory — the main thing is the desire to work and learn quickly. Good day! I have experience with marketplaces, worked with product cards — characteristics, descriptions, photos. I use Canva, with Chat.

Budget: 900 UAH Deadline: 1 day

Glad to see you. I will implement it in 1 day.
Budget: 900 hryvnias
Write to me. We will agree.

Budget: 1000 UAH Deadline: 1 day

Good day!! I am ready to perform the task you set with high quality!!!! Feel free to contact me.

Budget: 10000 UAH Deadline: 10 days

Good day. I can write a program that will automatically collect images from open web sources, for example from Reddit. For categories, it will be necessary to connect AI for classification if no category is specified from the source. A list of available categories will also be needed.

Budget: 1000 UAH Deadline: 2 days

Hello! The task is completely clear, and I didn't waste any time — I already have a working script ready and tested for it.

I have set up automated parsing of profile stock photo sites, which allows extracting images in original, highest available quality (without compression and thumbnails).

What has already been implemented and is ready for transfer:

Quality control: I wrote a filtering system based on resolution (small and "broken" images are automatically filtered out).

Cataloging: Images are automatically sorted into category folders and receive standardized names (without duplicates).

For demonstration, I have already uploaded a test batch of structured images from the stocks to my Google Drive.

Please write to me in private messages. I will send you the link to Google Drive so you can assess the quality and structure, and we will discuss your categories, keywords, and final requirements for the dataset in more detail. I am ready to transfer the entire volume today! Expand

Budget: 27000 UAH Deadline: 27 days

Good day! We have already communicated earlier regarding your project, please write to me in private.

Budget: 1500 UAH Deadline: 1 day

Good day, I am very interested in your project. I have significant experience in the field of Web Scraping and Data Processing using Python, so I clearly understand the task at hand and am ready to implement it efficiently and on time.

Budget: 700 UAH Deadline: 1 day

Good day, Olga!
In general, the task is clear, but for an accurate response 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: 1500 UAH Deadline: 1 day

Good day, Olga! I will implement your project quickly and efficiently, feel free to reach out!

Budget: 1000 UAH Deadline: 3 days

Hello!

I am collecting and structuring data, so the task is clear. But let's get straight to the point, because this is where such projects either result in a "database to work with" or a "folder with previews": extract the originals in maximum quality, not compressed versions.

On most sources, a reduced image is displayed on the page, while the original is stored separately — in another URL, in a data attribute, or via a direct link. Therefore, I am specifically gathering full-res images, with a fallback if the original is unavailable, and I am noting the resolution of each file — so you can see what has actually been collected, not just "something downloaded."

I classify by categories using a vision model — it automatically sorts 2000 images without manual review. The output: a folder structure by categories + a table with metadata (source, category, resolution, link), all delivered via Google Drive. I am laying out a scalable architecture so that the second stage (more images) does not need to be redone from scratch.

One clarification, as it affects both complexity and timeline: what specific sources — marketplaces, stock sites, specific catalogs? Some provide images easily, while others have protections, and this affects the pace of collection.
Please write to me privately to discuss the project details.

Budget: 1000 UAH Deadline: 1 day

Good day. The job is interesting, I will complete it quickly, without unnecessary complications. I have experience. I will be waiting for your response.

Budget: 2000 UAH Deadline: 2 days

Good evening. I can gather such a database, but I need clarifications; do you have a source for parsing? I cannot estimate the cost of the work because the specifications do not fully describe the work that needs to be done.

Budget: 2000 UAH Deadline: 1 day

Good day.

I have reviewed your requirements.

I would like to discuss this in more detail.

I can deliver an ideal result.

Thank you.

Budget: 5000 UAH Deadline: 5 days

Ready to start working. Write to me - we will discuss the details, I will complete the task efficiently, clearly, and on time.

Budget: 1000 UAH Deadline: 3 days

Hello! The task of automated collection and cataloging of an array of images is completely understood. Since the first stage involves 2000 images from open sources, manual work is excluded — a clean, optimized Python script is needed.

My technical solution:

Automated scraping (Python): I will write a script using the BeautifulSoup or Scrapy libraries (depending on the structure of the source websites). The script will find direct links to the output files and download them in maximum resolution without compression. Cataloging and Structuring: I will organize a clear folder system based on categories. If necessary, for automatic sorting by visual features or metadata, I will implement basic processing using the Pillow (PIL) library for format validation, size checks, and duplicate removal. Result delivery: All images will be downloaded, renamed according to a single understandable template, archived, and uploaded to Google Drive (or transferred via a direct upload script to your cloud storage).

The main project risk: Some web sources block mass downloading of media files within a short period. To bypass this protection, I will implement dynamic delays between requests (request throttling) and header rotation (User-Agent) so that the sites perceive the script as a regular user.

Clarifying question to start:
From which specific open web sources or websites should these images be collected, and what key categories for their classification have you identified?
I have experience in data parsing and process automation in Python. I am ready to write the script and collect a clean, structured dataset for you! Expand

Budget: 8000 UAH Deadline: 3 days

Good day!

I can implement the collection and structuring of an array of images. I have 7+ years of experience with Python, data parsing, content collection automation, and file processing.

What I will do:

automated collection of images from open web sources;
download in the highest available quality;
duplicate filtering;
structuring by categories;
a clear system of folders and file names;
preparation of a summary table with links, sources, and categories;
delivery of the result via Google Drive or another convenient method.

Before starting, we will agree on the sources, categories, and selection criteria for the images.

Deadline: 3–5 days for the first stage for 2000 images. Expand

Budget: 700 UAH Deadline: 1 day

Hello! I am ready to take on this task. I will write a parser in Python that will quickly gather the required array of images.

I will configure the script to retrieve the original files in maximum quality (not compressed thumbnails) and automatically sort them into the appropriate category folders. I will upload the entire structured archive to your Google Drive.

Please message me privately with the specific donor websites from which to parse the images and the criteria for classifying them. Right after that, I will provide the exact cost and timeline for completion.

Budget: 1000 UAH Deadline: 1 day

Hello. I am interested in your project. I am ready to discuss and complete it!

Budget: 5000 UAH Deadline: 2 days

I am a NodeJS developer. I am ready to take on this task. Write to me, we will discuss.

Budget: 1000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Please write to me in private messages to discuss the details. I would be happy to help :)

Budget: 1000 UAH Deadline: 1 day

Hello.
To implement automated high-quality image collection, I will develop a scalable scraping framework that will use a headless browser for dynamic content and ensure efficient source processing. Classification will be performed using a combination of ML models for initial category determination and a set of custom rules for refinement, which will provide high accuracy and flexibility in cataloging in the prepared database. I have significant experience in developing similar data collection and processing systems, as well as ready architectural templates and scripts that will significantly accelerate the project's start and implementation. I suggest discussing all implementation details, final budget, and deadlines in private messages.