Python Developer / Web Scraping Specialist for collecting and classifying architectural images
We are looking for a specialist in Python and Web Scraping to implement a project for collecting, processing, and structuring a large array of architectural images from open sources.
Main tasks:
- automated collection of images;
- uploading files in the highest available quality;
- classification of images by categories:
- Exterior;
- Interior;
- Exterior Top View;
At the first stage, an analysis of data sources and an assessment of the optimal approach to project implementation is expected.
Advantages:
- experience in web scraping;
- working with large volumes of data;
- Computer Vision or image classification.
In your response, please indicate:
- relevant experience;
- proposed approach to implementation;
- estimated budget and timelines.
Links to data sources will be provided after the preliminary selection of candidates.
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1 day226 USD
1 day226 USD
Hello!
We can connect an external specialist or team for tasks related to image collection and classification.
1. Are you considering involving an external contractor or team for these tasks?
2. What tasks and technologies need to be prioritized?
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About us
…
We are dZENcode – a full-cycle IT development company: from design and programming to integrations and post-release support of digital solutions. We create projects from scratch, as well as connect to existing solutions that need refinement, development, or technical support.
You can find detailed information about our services and rates on our official website:
Freelancehunt
Take a look – after that we can discuss the details and agree on the next steps.
⚠️ After clarifying all the details, we will determine the scope of work, the suitable format of cooperation: task-based, outsourcing, or outstaffing – and the final cost.
With us, projects are guaranteed to reach release:
• 10+ years providing IT services;
• 90+ in-house specialists;
• 250+ public reviews since 2015;
• We support products under SLA after launch;
• We work under NDA and a contract with the company!
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20 days451 USD
20 days451 USD
I will start with the first stage: I will analyze the sources, evaluate the scraping approach in Python, the storage structure, image quality, deduplication, and the classification logic of Exterior / Interior / Exterior Top View.
Your main risk right now is that you can quickly upload a large array of images but end up with duplicates, corrupted files, poor quality, and mixed categories that will then need to be cleaned manually?
The budget and deadlines will be discussed in personal correspondence after reviewing the data sources and the required volume of images.
Similar completed project: В модулі OpenCart виправити 5 проблем повязаних з Facebook API
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2 days45 USD
2742 76 1 2 days45 USD
Good day. I have extensive experience in Web Scraping with Python. I work with large volumes of data - Pandas. Budget and deadlines - after evaluating the websites.
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2 days45 USD
5170 37 2 2 days45 USD
Hello!
I have relevant experience specifically for this project:
— Developed commercial scrapers using Playwright + BeautifulSoup with bypassing anti-bot protection and proxy rotation
— Collected and normalized large volumes of data (27,000+ records) with subsequent storage in PostgreSQL
— Experience in uploading files in maximum quality through network request analysis
— Integrated OpenAI Vision API into production projects — can use it for image classification
… Proposed approach:
1. Analyze the structure of the Source — anti-bot protection, availability of full-quality images
2. Async parser on Playwright/aiohttp for parallel collection
3. Classification by categories Exterior / Interior / Exterior Top View using OpenAI Vision API or by metadata (depending on the Budget)
4. Saving in structured folders + CSV report
Budget: from $50 per Source (final price after reviewing the Sources)
Timeline: 3–5 days per Source
I would be happy to discuss the details after reviewing the Links to the Sources!
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3 days90 USD
6507 74 1 3 days90 USD
I can do it quickly and efficiently. We need to discuss in more detail. I would be happy to collaborate.
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12 days271 USD
324 12 days271 USD
Hello! I have experience working with Python and can implement automated collection and uploading of images (asynchronously, for speed). For the most complex part — classification into Exterior/Interior — I suggest using [here specify your approach: for example, integration with a ready-made Computer Vision API or using a pre-trained model]. I am ready to analyze your data sources and provide an estimate on the timeline.
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7 days180 USD
93243 1261 1 10 7 days180 USD
Hello. I have extensive experience in developing parsers. Can I get acquainted with the websites that need to be parsed?
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3 days45 USD
738 9 1 3 days45 USD
Hello! Your project caught my attention. I am ready to start working and ensure high quality execution.
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15 days113 USD
4200 123 0 15 days113 USD
I have experience specifically in this stack: Python scrapers (Scrapy / Playwright), bulk image uploading and classification via CLIP/EfficientNet.
Approach briefly:
1. Source analysis - strategy selection (static HTML / JS rendering / API)
2. Asynchronous collection with maximum quality upload
3. Auto-classification: Exterior / Interior / Exterior Top View through zero-shot or fine-tuned model
4. Structured dataset with metadata
Timeline: 2–3 weeks after start (depends on volume)
Budget: we will discuss after reviewing the sources
…
I look forward to the details!
Kyiv