Linkloom Scraper helps organize, manage, and structure large collections of links into clean, searchable bookmark datasets. It solves the chaos of scattered bookmarks by centralizing useful links for professionals, marketers, and content creators.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Linkloom Scraper is designed to turn unstructured link collections into well-organized, usable datasets. It helps users maintain curated lists of articles, PR platforms, travel sites, bookmarking tools, and profile platforms.
- Converts large link lists into structured, categorized data
- Helps reduce bookmark overload and duplication
- Designed for long-term link management and discovery
- Suitable for personal, team, and professional workflows
| Feature | Description |
|---|---|
| Category-Based Structuring | Automatically groups links into logical categories like blogs, PR, travel, or profiles. |
| Centralized Link Storage | Keeps all important links in one structured dataset instead of scattered bookmarks. |
| Easy Expansion | Designed to grow as new links or categories are added over time. |
| Clean Data Output | Produces structured data ready for search, filtering, or export. |
| Lightweight Workflow | Focused on simplicity without heavy dependencies or setup. |
| Field Name | Field Description |
|---|---|
| category | The logical group a link belongs to (e.g., Blog, PR, Travel). |
| site_name | Human-readable name of the platform or website. |
| url | Direct URL to the platform or resource. |
| site_type | Type of platform such as article, PR, travel, or profile. |
| notes | Optional descriptive context about the site’s purpose. |
[
{
"category": "High Quality Article & Blog Sites",
"site_name": "Medium",
"url": "https://medium.com",
"site_type": "article",
"notes": "Multi-topic publishing platform for writers and professionals"
},
{
"category": "Press Release Platforms",
"site_name": "PRWeb India",
"url": "https://www.prweb.com",
"site_type": "press-release",
"notes": "Press release distribution platform focused on Indian market"
}
]
Linkloom/
├── src/
│ ├── main.py
│ ├── parser/
│ │ ├── link_classifier.py
│ │ └── normalizer.py
│ ├── models/
│ │ └── link_item.py
│ └── utils/
│ └── validators.py
├── data/
│ ├── raw_links.txt
│ └── structured_links.json
├── config/
│ └── settings.example.json
├── requirements.txt
└── README.md
- Content marketers use it to organize article and PR sites so they can plan outreach faster.
- Developers use it to maintain curated resource lists for research and documentation.
- Travel bloggers use it to store trusted travel platforms and references in one place.
- Agencies use it to manage bookmarking and profile sites for SEO and brand presence.
- Individuals use it to declutter browser bookmarks into structured collections.
Can I add my own link categories? Yes, the structure is flexible and supports unlimited custom categories based on your needs.
Is this suitable for non-technical users? The output is simple and readable, making it usable even without deep technical knowledge.
Does it remove duplicate links? Basic normalization helps reduce duplicates, keeping datasets cleaner over time.
Can the data be exported to other tools? Yes, the structured output can be easily imported into spreadsheets, databases, or dashboards.
Primary Metric: Processes and structures thousands of links in seconds for small to medium datasets.
Reliability Metric: Consistently produces structured outputs with stable categorization logic.
Efficiency Metric: Minimal memory usage due to lightweight parsing and data handling.
Quality Metric: High data clarity with consistent categories and clean, normalized URLs.
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