Get Metadata Rental Scraper extracts structured metadata from web pages at scale, helping teams understand page content without manual inspection. It solves the problem of inconsistent or missing metadata by providing a unified, reliable output. Designed for developers, analysts, and SEO professionals who need fast, accurate metadata extraction.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts comprehensive metadata from one or many web pages in a single run. It helps standardize page-level information such as titles, descriptions, and link metadata. It is built for teams that need reliable metadata for analysis, auditing, or automation.
- Processes multiple URLs efficiently in one execution
- Supports lightweight and advanced extraction modes
- Filters and limits metadata for focused results
- Handles errors gracefully with clear reporting
- Adapts to static and dynamic websites
| Feature | Description |
|---|---|
| Multi-URL Processing | Extract metadata from many pages in a single run. |
| Dual Extraction Modes | Choose between fast lightweight parsing or advanced rendering. |
| Metadata Filtering | Limit results by specific metadata names or prefixes. |
| Structured Output | Consistent fields for easy storage and analysis. |
| Error Reporting | Captures and returns clear error details per URL. |
| Proxy Support | Improves reliability on restricted or protected sites. |
| Field Name | Field Description |
|---|---|
| url | The page URL where metadata was extracted. |
| name | Metadata key such as title, description, or og:title. |
| content | The value associated with the metadata key. |
| error | Error details when extraction fails for a URL. |
[
{
"url": "https://example.com",
"name": "title",
"content": "Example Domain"
},
{
"url": "https://example.com",
"name": "description",
"content": "This domain is for use in illustrative examples."
}
]
Get Metadata Rental/
├── src/
│ ├── main.py
│ ├── extractors/
│ │ ├── simple_extractor.py
│ │ ├── selenium_extractor.py
│ │ └── filters.py
│ ├── utils/
│ │ ├── validators.py
│ │ └── error_handler.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── requirements.txt
└── README.md
- SEO specialists use it to audit page metadata, so they can improve search visibility.
- Developers use it to validate metadata across environments, so releases stay consistent.
- Content teams use it to verify titles and descriptions, so pages align with branding.
- Data analysts use it to collect structured metadata, so reporting becomes automated.
- QA teams use it to detect missing or broken tags, so issues are fixed before launch.
Can it handle JavaScript-heavy websites? Yes. An advanced extraction mode supports pages that require rendering, making it suitable for dynamic content.
Is it possible to extract only specific metadata fields? Yes. You can filter by metadata names or prefixes to return only relevant entries.
How does it behave when a page fails to load? The scraper records a structured error entry for that URL instead of stopping the entire run.
Can I control how much data is returned per page? Yes. You can set limits to restrict the number of metadata entries extracted from each URL.
Primary Metric: Processes an average of 40–60 static pages per minute in lightweight mode.
Reliability Metric: Maintains over 98% successful extraction rate on accessible pages.
Efficiency Metric: Uses minimal memory in simple mode, scaling efficiently with large URL lists.
Quality Metric: Delivers consistently structured metadata with high completeness across common tag standards.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
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