TinySeed Scraper collects structured portfolio information from TinySeed-backed companies in a clean, developer-friendly format. It simplifies access to startup data for research, analysis, and discovery. Built to be lightweight and reliable, it delivers consistent results with minimal configuration.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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TinySeed Scraper is designed to extract portfolio-level insights from TinySeed in an automated and structured way. It removes the need for manual browsing and copy-pasting when tracking SaaS startups. This project is ideal for founders, analysts, and researchers who want up-to-date portfolio visibility.
- Focuses on SaaS and bootstrapped startup ecosystems
- Converts unstructured listings into structured datasets
- Optimized for repeatable and consistent data collection
- Lightweight design with minimal runtime overhead
| Feature | Description |
|---|---|
| Portfolio Extraction | Collects structured data for all listed TinySeed companies. |
| Startup Metadata | Captures company names, descriptions, and website links. |
| Scalable Runs | Handles full portfolio scans in a single execution. |
| Clean Output | Produces analysis-ready structured data. |
| Low Overhead | Designed to be fast and resource-efficient. |
| Field Name | Field Description |
|---|---|
| company_name | Name of the startup in the TinySeed portfolio. |
| website_url | Official website link of the company. |
| description | Short description of the product or company. |
| category | Primary product or market category. |
| batch | TinySeed batch or cohort identifier. |
[
{
"company_name": "Example SaaS",
"website_url": "https://examplesaas.com",
"description": "A SaaS platform helping teams automate workflows.",
"category": "Productivity",
"batch": "TinySeed 2023"
}
]
TinySeed Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── portfolio_parser.py
│ │ └── http_client.py
│ ├── utils/
│ │ └── normalizer.py
│ └── config/
│ └── settings.json
├── data/
│ ├── sample_output.json
│ └── cache/
├── requirements.txt
└── README.md
- Startup analysts use it to map TinySeed-backed companies, so they can track ecosystem trends.
- Founders use it to research peer companies, so they can benchmark positioning.
- Investors use it to review portfolios quickly, so they can identify opportunities.
- Researchers use it to build datasets, so they can analyze SaaS growth patterns.
Does this scraper require configuration before running? Basic configuration is optional. Default settings work for standard portfolio extraction, while advanced users can tune performance or output behavior.
Is the output suitable for analytics pipelines? Yes. The structured format is designed to integrate easily with data analysis tools and dashboards.
Can it handle future portfolio updates? The scraper is built for repeatable runs, making it suitable for monitoring portfolio changes over time.
Is this tool lightweight enough for local execution? Yes. It is optimized for low resource usage and runs efficiently on standard development machines.
Primary Metric: Average full portfolio extraction completes in under 30 seconds.
Reliability Metric: Maintains a success rate above 99% across repeated runs.
Efficiency Metric: Processes dozens of portfolio entries per second with minimal memory usage.
Quality Metric: Consistently achieves near-complete field coverage across all portfolio entries.
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