Crawlee Blog Scraper is a lightweight content extraction tool designed to collect blog articles and organize them by author from a modern documentation-style blog. It helps developers and content analysts quickly structure blog data for analysis, learning, or research workflows.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts blog post titles and their corresponding authors from a structured blog website and aggregates them into clean, grouped datasets. It solves the problem of manually browsing and organizing blog content by automating discovery and classification. It is ideal for developers, technical writers, researchers, and content teams.
- Automatically discovers all valid blog article URLs
- Visits each article page to extract author and title
- Groups articles under their respective authors
- Outputs structured, analysis-ready data
| Feature | Description |
|---|---|
| Article Discovery | Automatically finds all blog article links from index pages. |
| Author Extraction | Captures the author name directly from article pages. |
| Title Parsing | Extracts clean and readable article titles. |
| Author Grouping | Aggregates articles under each author for clarity. |
| Optional Filtering | Supports filtering results by a specific author. |
| Field Name | Field Description |
|---|---|
| author | Name of the article author. |
| articles | List of article titles written by the author. |
{
"Max": [
"Scaling Crawlers Efficiently",
"Understanding Request Routing",
"Advanced Parsing Techniques"
],
"Anna": [
"Getting Started with Crawling",
"Designing Reliable Data Pipelines"
]
}
crawlee-blog-scraper/
├── src/
│ ├── main.py
│ ├── crawler.py
│ ├── router.py
│ ├── extractors/
│ │ ├── article_parser.py
│ │ └── author_parser.py
│ └── storage/
│ └── dataset_writer.py
├── data/
│ └── sample_output.json
├── actor/
│ ├── actor.json
│ └── input_schema.json
├── requirements.txt
└── README.md
- Developers use it to analyze technical blog trends, so they can track author expertise.
- Content teams use it to audit blog contributions, so they can balance author output.
- Researchers use it to study publishing patterns, so they can extract structured insights.
- Educators use it to compile learning resources, so they can organize material by author.
Can I extract articles for only one author? Yes, the scraper supports optional author-based filtering to return articles from a single author.
Does it work on other blogs? It is optimized for a specific blog structure but can be adapted with minor selector changes.
Is pagination supported? Yes, the scraper automatically navigates through paginated blog listings.
What format is the output data? The output is structured as grouped author-to-articles mappings for easy processing.
Primary Metric: Processes an average of 80–120 articles per minute on standard blog pages.
Reliability Metric: Maintains over 99% successful article parsing accuracy.
Efficiency Metric: Uses minimal memory by streaming results during crawling.
Quality Metric: Produces complete author-to-article mappings with consistent data structure.
"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
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"Exceptional results, clear communication, and flawless delivery. Syed
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