Partnerbase Scraper helps you research and analyze company partnerships using a large, structured partnerships database. It simplifies discovering ecosystem relationships, partner networks, and collaboration opportunities so teams can make faster, data-driven decisions.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts structured partnership and company relationship data from Partnerbase-style datasets. It solves the problem of manually researching partner ecosystems across many companies. It is built for founders, growth teams, analysts, and researchers who need clear visibility into partnerships at scale.
- Search and match companies against a large partnerships database
- Retrieve partner relationships based on company-level queries
- Support multiple data retrieval processes for different research needs
- Designed for structured analysis and downstream reporting
| Feature | Description |
|---|---|
| Company Search | Match input companies against a partnerships database. |
| Partner Discovery | Retrieve direct and indirect company partners. |
| Multiple Processes | Run different workflows such as listing companies or fetching partners. |
| Raw Data Output | Returns unfiltered data for full analytical flexibility. |
| Scalable Queries | Designed to handle repeated, segmented data collection. |
| Field Name | Field Description |
|---|---|
| company_name | Name of the primary company queried. |
| company_id | Unique identifier for the company. |
| partner_name | Name of the partner company. |
| partner_id | Unique identifier for the partner company. |
| partnership_type | Type or category of partnership. |
| partnership_description | Text description of the relationship. |
| industry | Industry classification of the company. |
| website | Official company website URL. |
[
{
"company_name": "Example Corp",
"company_id": "cmp_10231",
"partner_name": "Partner Inc",
"partner_id": "ptn_77821",
"partnership_type": "Technology Partner",
"partnership_description": "Provides infrastructure integration support",
"industry": "SaaS",
"website": "https://www.example.com"
}
]
Partnerbase/
├── src/
│ ├── main.py
│ ├── workflows/
│ │ ├── list_companies.py
│ │ ├── search_companies.py
│ │ └── get_company_partners.py
│ ├── parsers/
│ │ └── partner_parser.py
│ └── utils/
│ └── request_handler.py
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── requirements.txt
└── README.md
- Growth teams use it to map partner ecosystems, so they can identify co-marketing opportunities.
- Founders use it to research competitor partnerships, so they can refine positioning strategies.
- Investors use it to analyze company alliances, so they can assess ecosystem strength.
- Analysts use it to build partnership datasets, so they can generate market insights.
How do I search for a specific company? You provide the company name as input and select the appropriate process to match it against the database.
Can I retrieve large volumes of partners? Yes, but it is recommended to segment queries using minimum and maximum partner filters for efficiency.
Is the output pre-processed or cleaned? No, all processes return raw data to allow maximum flexibility in analysis.
Can this be integrated into data pipelines? Yes, the structured JSON output is suitable for databases, dashboards, and analytics tools.
Primary Metric: Processes hundreds of company-partner relationships per run under standard configurations.
Reliability Metric: Consistently stable results when requests are paced and segmented correctly.
Efficiency Metric: Optimized workflows reduce redundant queries and improve throughput.
Quality Metric: High data completeness with consistent partner-company mapping across datasets.
"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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