Get Images Rental Scraper is a lightweight yet powerful tool designed to extract high-quality images from any public webpage. It helps developers, marketers, and data teams quickly collect usable image assets while maintaining full control over size, format, and pagination.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts images from a given webpage URL and returns structured, filtered image metadata. It solves the problem of manually collecting images by automating discovery, filtering, and pagination. It is built for developers, analysts, content teams, and automation workflows that require reliable image extraction.
- Scans webpages and identifies valid image assets automatically
- Filters images by minimum width, height, and file type
- Supports pagination for large pages with many images
- Returns clean, structured data ready for processing or storage
- Handles errors gracefully without breaking pipelines
| Feature | Description |
|---|---|
| URL-Based Extraction | Extracts images directly from any provided webpage URL. |
| Dimension Filtering | Filters images using minimum width and height thresholds. |
| Extension Control | Excludes unwanted formats such as svg or webp. |
| Pagination Support | Enables controlled batching using page and limit parameters. |
| Structured Output | Returns consistent metadata for each extracted image. |
| Error Handling | Provides clear error objects when extraction fails. |
| Field Name | Field Description |
|---|---|
| alt | Alternative text associated with the image. |
| src | Direct URL of the extracted image. |
| width | Image width in pixels. |
| height | Image height in pixels. |
| extension | File extension derived from the image URL. |
| error | Error message if image extraction fails. |
[
{
"alt": "Example Image 1",
"src": "https://example.com/image1.jpg",
"width": 800,
"height": 600,
"extension": "jpg"
},
{
"alt": "Example Image 2",
"src": "https://example.com/image2.png",
"width": 1200,
"height": 800,
"extension": "png"
}
]
get-images-rental-scraper/
├── src/
│ ├── main.py
│ ├── image_extractor.py
│ ├── filters.py
│ ├── pagination.py
│ └── error_handler.py
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── config/
│ └── settings.example.json
├── requirements.txt
└── README.md
- Content teams use it to collect large image sets from websites, so they can reuse assets faster.
- Developers use it to automate image discovery pipelines, reducing manual effort.
- Data analysts use it to filter and analyze visual content at scale.
- E-commerce teams use it to monitor product imagery quality across competitor sites.
- SEO specialists use it to audit image usage and formats on webpages.
Can I limit how many images are returned? Yes, the limit parameter allows precise control over how many images are returned per page.
Does it support pagination for large websites? Yes, pagination is supported using page and limit, enabling controlled sequential extraction.
Can I exclude certain image formats? Yes, you can exclude specific extensions such as svg or webp using exclude_extensions.
What happens if a page fails to load? The scraper returns a structured error object describing the failure instead of crashing.
Primary Metric: Processes an average of 150–300 images per page depending on page complexity.
Reliability Metric: Maintains a success rate above 98% on stable network connections.
Efficiency Metric: Optimized filtering reduces unnecessary image processing by up to 40%.
Quality Metric: Ensures high precision by returning only images that meet defined size and format rules.
