StoryVault Africa 🇳🇬

AI-Assisted Historical and Cultural Research Actor

StoryVault Africa is an AI-assisted research tool designed to help students, researchers, educators, journalists, content creators, and cultural organizations discover, organize, and explore historical and cultural information about Nigeria and Africa.

Built on the Apify platform, StoryVault collects publicly available information from configured online sources and transforms scattered research materials into structured research packs containing relevant information, source links, historical context, timelines, entities, and verification notes.

Our goal is to make African historical and cultural research more accessible, organized, traceable, and useful while encouraging responsible human review of historical claims.

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Table of Contents

• Project Overview
• The Problem
• Our Solution
• Why StoryVault Matters
• Key Features
• How StoryVault Works
• System Architecture
• Technology Stack
• Apify Integration
• Input Configuration
• Output Structure
• How to Run the Actor
• API Usage
• Research Integrity and Verification
• Target Users
• Use Cases
• Business and Monetization Model
• Scalability
• Social and Cultural Impact
• Security and Privacy
• Limitations
• Future Roadmap
• Local Development
• Project Structure
• Contributing
• License
• Team

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Project Overview

Historical and cultural information about Africa is often distributed across different websites, archives, articles, educational platforms, digital libraries, and institutional resources.

Researchers may need to spend significant amounts of time searching through multiple sources, comparing information, identifying relevant facts, organizing timelines, and keeping track of the origin of each claim.

StoryVault Africa addresses this challenge through an Apify-powered research Actor that helps users collect and organize publicly available information around a specific research topic.

A user can provide a topic such as:

• The Benin Kingdom
• Queen Amina of Zazzau
• The Nigerian Civil War
• Yoruba cultural heritage
• The Nok Civilization
• The history of Lagos
• African traditional institutions
• Nigerian independence
• Indigenous African knowledge systems

StoryVault then processes the configured research sources and generates a structured research output for further exploration and human verification.

Project Name

StoryVault Africa

Actor Name

storyvault-nigeria-research-actor

Platform

Apify

Project Category

AI, Web Scraping, Research Automation, African History, Cultural Preservation, Education

Project Link

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The Problem

Researching African history and culture can be difficult for several reasons.

1. Information is scattered

Relevant information is often distributed across different websites, publications, educational resources, digital archives, and institutional pages.

Researchers have to search multiple sources manually before obtaining a complete understanding of a topic.

2. Research is time-consuming

Students, educators, journalists, and content creators spend considerable time gathering information, opening different pages, extracting important details, and organizing their findings.

3. Sources are difficult to track

When information is copied into notes or documents, the original source may be forgotten or difficult to locate later.

This makes it harder to verify claims and conduct further research.

4. Historical information may conflict

Different sources can provide different dates, names, interpretations, or descriptions of historical events.

A research tool should not automatically treat every extracted claim as confirmed fact.

5. African history and cultural knowledge need greater accessibility

African historical and cultural information should be easier for learners, researchers, educators, and digital creators to discover and explore.

There is an opportunity to build tools that improve access to this information while preserving source traceability and encouraging responsible research.

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Our Solution

StoryVault Africa is an AI-assisted research Actor that collects publicly available information about a selected historical or cultural topic and organizes the results into a structured research pack.

Instead of requiring users to manually gather information from multiple sources, StoryVault helps automate the initial research and organization process.

The Actor is designed to:

1. Accept a research topic from the user.
2. Identify or process configured research sources.
3. Extract relevant publicly available information.
4. Organize information into structured sections.
5. Preserve source URLs for traceability.
6. Identify historical entities and relevant context.
7. Organize important events into a timeline where possible.
8. Highlight information that may require additional human verification.
9. Store the results in an Apify Dataset or the configured output destination.

StoryVault is not designed to replace historians, researchers, archivists, or subject-matter experts.

It is designed to reduce repetitive research work and support better-informed human investigation.

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Why StoryVault Matters

StoryVault combines research automation with African historical and cultural discovery.

The project is focused on building an accessible research infrastructure that can support:

• African history education
• Cultural knowledge discovery
• Academic research
• Digital storytelling
• Documentary research
• Educational content development
• Historical preservation initiatives
• Cultural institutions and archives

By organizing information and preserving source links, StoryVault can help users move from scattered online information to a more structured research workflow.

The long-term vision is to support a research ecosystem where African historical and cultural topics can be explored more efficiently and responsibly.

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Key Features

1. Topic-Based Research

Users can submit a research topic such as a historical figure, kingdom, cultural practice, event, or institution.

Example:

{
  "topic": "The Benin Kingdom"
}

The Actor uses the provided configuration to process relevant research information.

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2. Historical and Cultural Research

StoryVault is designed for research topics related to:

• Historical kingdoms
• Historical figures
• Political and social events
• Cultural practices
• Indigenous knowledge
• Traditional institutions
• Historical locations
• African civilizations
• Colonial and postcolonial history
• Cultural heritage

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3. Structured Research Output

Instead of returning only unorganized scraped text, StoryVault aims to arrange collected information into meaningful sections.

Possible sections include:

• Topic overview
• Key facts
• Historical context
• Timeline
• Important entities
• Source list
• Verification notes
• Research limitations

The exact output depends on the Actor's implemented schema.

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4. Source Traceability

StoryVault preserves source URLs where available.

This allows users to:

• Return to the original source
• Review the context of a claim
• Conduct additional research
• Compare information across sources
• Validate extracted information

Source links should be treated as references for further investigation rather than automatic proof that every extracted claim is accurate.

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5. Timeline Organization

Where dates and events can be extracted reliably, StoryVault can organize historical events chronologically.

A timeline may include:

• Event date
• Event title
• Event description
• Related entities
• Source URL
• Verification notes

Dates that are unclear, approximate, or conflicting should be identified for further review.

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6. Entity Identification

The research output may identify important entities associated with a topic.

These can include:

• Historical figures
• Kingdoms
• Communities
• Organizations
• Locations
• Events
• Cultural institutions

Entity extraction should be reviewed where names, spellings, historical identities, or relationships are uncertain.

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7. Verification Awareness

StoryVault is designed to support responsible research.

Where possible, the system can identify:

• Missing information
• Conflicting claims
• Unclear dates
• Incomplete source details
• Claims requiring human review

The Actor should not present uncertain information as definitively verified.

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8. Apify Dataset Integration

The Actor uses the Apify platform's storage and execution infrastructure.

Research results can be stored in an Apify Dataset when configured in the implementation.

This supports:

• Structured data storage
• Research result retrieval
• Repeated Actor runs
• Integration with other applications
• Potential API-based access

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9. Automation-Friendly Research

By running as an Apify Actor, StoryVault can potentially be integrated into larger workflows.

Possible integrations include:

• Educational platforms
• Research dashboards
• AI assistants
• Content creation tools
• Digital archive projects
• Academic research applications

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How StoryVault Works

The general workflow is:

User submits a research topic
              |
              v
Actor receives input configuration
              |
              v
Configured sources are accessed
              |
              v
Relevant information is extracted
              |
              v
Information is cleaned and organized
              |
              v
Research data is structured
              |
              v
Sources and verification notes are preserved
              |
              v
Results are stored in Apify Dataset
              |
              v
User reviews and validates the research pack

Step 1: Input

The user provides a topic and any supported research configuration.

Step 2: Source Collection

The Actor processes the configured websites, URLs, or source collection logic.

Step 3: Content Extraction

Relevant information is extracted from accessible public pages.

Step 4: Data Structuring

The extracted information is organized into the output structure defined by the Actor.

Step 5: Source Preservation

Available source URLs and relevant metadata are retained for traceability.

Step 6: Output Storage

The structured results are pushed to the configured Apify Dataset or output destination.

Step 7: Human Review

The user reviews the results, checks the sources, and conducts additional verification where necessary.

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System Architecture

The proposed StoryVault architecture consists of the following components:

Frontend Interface
       |
       v
Backend or Application Layer
       |
       v
Apify Actor API
       |
       v
StoryVault Research Actor
       |
       v
Configured Public Sources
       |
       v
Extraction and Processing
       |
       v
Structured Research Output
       |
       v
Apify Dataset
       |
       v
Frontend Research Dashboard

Frontend

The frontend provides an interface where users can:

• Enter research topics
• Select research categories
• Start a research run
• View research results
• Explore sources
• Review extracted information

The frontend technology should be updated to match the actual implementation.

Backend or Application Layer

If a separate backend is used, it can be responsible for:

• Receiving frontend requests
• Validating user input
• Calling the Apify API
• Managing Actor run requests
• Retrieving Dataset results
• Handling application-level authentication
• Protecting API credentials

Apify Actor

The Actor is responsible for the research execution process.

It may handle:

• Input validation
• Source access
• Data extraction
• Content processing
• Data organization
• Dataset storage

The exact responsibilities must match the deployed Actor's implementation.

Apify Dataset

The Dataset provides structured storage for the Actor's output.

The output format should follow the actual deployed Dataset schema.

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🛠️ Technology Stack

The project may use the following technologies, depending on the actual implementation.

Core Platform

• Apify Platform
• Apify Actors
• Apify Dataset
• Apify API

Programming Languages

• JavaScript
• Node.js
• TypeScript, if used

Web Scraping and Crawling

• Apify SDK
• Crawlee, if implemented
• HTTP requests or supported source-access methods

Data Format

• JSON
• Structured Dataset records

Frontend

• [Insert actual frontend framework]
• [Insert actual frontend deployment platform]

Backend

• [Insert actual backend framework, if used]
• Apify API integration
• Environment-based secret management

Development Tools

• GitHub
• Visual Studio Code
• npm
• Git
• Lovable, if used in the project

Only technologies actually used in the implementation should be listed as completed technologies.

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🔌 Apify Integration

StoryVault is built around the Apify platform.

Apify provides infrastructure for running Actors, collecting data, storing structured results, and integrating automated workflows.

Apify Features Used or Intended

• Actor execution
• Actor input configuration
• Dataset storage
• API-based Actor execution
• Structured output
• Run monitoring

Why Apify?

Apify allows StoryVault to focus on its research use case while leveraging existing infrastructure for web automation and data processing.

This can reduce the need to build an entire crawling and execution infrastructure from scratch.

Apify also provides opportunities for future integration with other Actors, APIs, and automated research workflows.

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Input Configuration

The input schema must match the actual input schema configured in the Apify Actor.

The following is an illustrative example:

{
  "topic": "The Benin Kingdom",
  "researchType": "historical",
  "scope": "Nigeria",
  "maxSources": 10,
  "startUrls": []
}

Input Fields

Field	Type	Description
topic	String	The historical or cultural topic to research
researchType	String	The type of research being requested
scope	String	The geographical or thematic scope
maxSources	Number	The maximum number of sources to process, if supported
startUrls	Array	URLs supplied for research, if supported

Example Research Topics

The Benin Kingdom

Queen Amina of Zazzau

The history of Lagos

Yoruba cultural heritage

The Nok Civilization

The actual input fields, default values, and validation rules should be confirmed in the deployed Actor's input schema.

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Output Structure

The Actor's output schema must reflect the actual data returned by the deployed implementation.

The following example illustrates a possible research output format:

{
  "topic": "The Benin Kingdom",
  "overview": "A structured overview of the research topic.",
  "timeline": [
    {
      "date": "Example date",
      "event": "Example historical event",
      "description": "Description of the event",
      "sourceUrl": "https://example.com"
    }
  ],
  "entities": [
    {
      "name": "Example entity",
      "type": "Historical figure",
      "description": "Relevant information",
      "sourceUrl": "https://example.com"
    }
  ],
  "sources": [
    {
      "title": "Example source",
      "url": "https://example.com"
    }
  ],
  "verificationNotes": [
    "Claims should be reviewed against the original sources."
  ]
}

This is an illustrative structure and should not be presented as the exact output schema unless it matches the deployed Actor.

Output Principles

The output should aim to be:

• Structured
• Readable
• Source-linked
• Reusable
• Easy to process programmatically
• Suitable for human review

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▶️ How to Run the Actor

Option 1: Run Through Apify Console

1. Open the Apify Console:

   https://console.apify.com/

2. Navigate to the Actor section.

3. Open the StoryVault Actor.

4. Select the input configuration.

5. Enter the research topic.

6. Review the input values.

7. Click the run button.

8. Wait for the Actor execution to complete.

9. Open the Dataset or output section.

10. Review the generated research results.

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Option 2: Run Through the Apify API

The Actor can be executed through the Apify API if API access is configured.

The API request must use:

• The correct Actor ID
• A valid Apify API token
• The appropriate input schema
• The correct API endpoint

API tokens must not be exposed in frontend code, public repositories, screenshots, or client-side applications.

Use environment variables or a secure backend to manage API credentials.

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💻 API Usage

An example API request structure is shown below.

The Actor ID, input fields, and endpoint must be updated to match the deployed Actor.

curl -X POST \
  "https://api.apify.com/v2/acts/ACTOR_ID/runs?token=APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "topic": "The Benin Kingdom"
  }'

Security Notes

• Do not hardcode API tokens in frontend code.
• Do not commit API tokens to GitHub.
• Store secrets in environment variables.
• Use backend requests when the token must remain private.
• Revoke and replace any token that has been publicly exposed.
• Apply appropriate access controls to private research data.

The API example should only be used after replacing the placeholder values with the correct Actor configuration.

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🔍 Research Integrity and Verification

StoryVault is intended to assist research, not to establish historical truth automatically.

Historical and cultural information can be complex, incomplete, contested, or interpreted differently by different sources.

Research Integrity Principles

Source Awareness

The system should preserve source URLs whenever possible.

Human Verification

Users should review original sources before relying on information for academic, journalistic, educational, or public-facing purposes.

Uncertainty

Information that is incomplete, conflicting, or unclear should be identified where possible.

No Automatic Authority

The presence of a claim in a retrieved source does not automatically mean that the claim has been independently verified.

Responsible Cultural Representation

Historical and cultural information should be presented respectfully and with awareness of local context.

StoryVault should avoid presenting a single source or interpretation as the complete representation of a complex cultural or historical subject.

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👥 Target Users

StoryVault is designed for several categories of users.

Students

Students can use StoryVault to support preliminary research for:

• Assignments
• Presentations
• Research projects
• History lessons
• Cultural studies

Researchers

Researchers can use the Actor to collect and organize initial source material.

Educators

Teachers and educational organizations can use the tool to prepare learning materials and introduce students to African history and culture.

Content Creators

Writers, video creators, podcasters, and social media educators can use structured research as a starting point for content development.

Journalists and Documentary Producers

Journalists and documentary teams can use StoryVault for preliminary topic discovery and source collection.

Further verification and editorial review remain necessary.

Cultural Organizations

Museums, cultural organizations, heritage initiatives, and community projects may use the tool to support digital research and cultural knowledge discovery.

Educational Technology Platforms

EdTech platforms can potentially integrate StoryVault into learning and research workflows.

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🧩 Use Cases

Use Case 1: Student Research

A student wants to learn about the history of the Benin Kingdom.

The student enters the topic and receives a structured research output containing relevant information and source links.

The student then reviews the sources and uses the findings as a starting point for academic research.

---

Use Case 2: Cultural Content Creation

A content creator wants to develop an educational video about Queen Amina of Zazzau.

StoryVault can help organize preliminary information, identify relevant entities, and provide source links for additional review.

---

Use Case 3: Historical Timeline Development

A researcher wants to understand major events connected to a historical kingdom.

StoryVault can organize extractable dates and events into a timeline where the available information supports it.

---

Use Case 4: Educational Resource Development

An educator wants to prepare an introductory lesson about Nigerian cultural heritage.

StoryVault can support the initial discovery and organization of publicly available information.

The educator reviews the sources before using the information in a classroom setting.

---

Use Case 5: Research Dashboard Integration

A research application can potentially call the StoryVault Actor through the Apify API and display structured results in its own interface.

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💼 Business and Monetization Model

StoryVault can be developed into a research infrastructure product serving individuals, educational institutions, content creators, and organizations.

1. Freemium Access

Users can access a limited number of research runs for free.

Premium users may receive:

• Higher research limits
• Expanded source processing
• Export features
• Saved research history
• Advanced organization tools

The exact pricing should be determined after validating user demand and operating costs.

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2. Institutional Partnerships

StoryVault can partner with:

• Universities
• Schools
• Libraries
• Museums
• Cultural organizations
• Research institutions
• Educational platforms

Institutions may pay for access to specialized research tools or customized workflows.

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3. API Access

Developers and educational platforms may integrate StoryVault into their own applications through API-based access.

Potential pricing could be based on:

• Number of Actor runs
• Data volume
• Processing requirements
• Number of users
• Institutional usage

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4. Research and Content Partnerships

StoryVault could support organizations that produce:

• Educational content
• Documentaries
• Cultural publications
• Digital archives
• Historical learning resources

Partnerships must preserve appropriate attribution, source transparency, and responsible use of cultural information.

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5. Specialized Research Solutions

Future versions may provide specialized Actors or workflows for:

• Nigerian history
• African kingdoms
• Cultural heritage
• Oral history documentation
• Educational research
• Historical timeline generation

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📈 Scalability

StoryVault can be expanded in stages.

Stage 1: Core Research Actor

The initial version focuses on:

• Topic-based research
• Configured source collection
• Structured outputs
• Source links
• Apify Dataset storage

Stage 2: Expanded Research Categories

Additional categories may include:

• African historical figures
• Traditional institutions
• Cultural practices
• Historical locations
• Indigenous knowledge
• Regional African history

Stage 3: Source Expansion

The platform may support additional reliable public sources, including:

• Educational websites
• Institutional resources
• Digital archives
• Public libraries
• Research publications
• Cultural organizations

Source availability, access permissions, and technical compatibility must be evaluated before integration.

Stage 4: User Accounts and Research History

A future application could allow users to:

• Save research projects
• Organize topics
• Revisit previous runs
• Export research packs
• Collaborate with others

Stage 5: Institutional Integrations

StoryVault could integrate with:

• Learning management systems
• University research portals
• Digital library platforms
• Educational content tools
• Cultural archive projects

Stage 6: Specialized AI Research Workflows

Future versions may include additional tools for:

• Source comparison
• Claim grouping
• Timeline generation
• Citation assistance
• Research summaries
• Topic relationship mapping

These features should be implemented with clear limitations and human-review workflows.

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🌱 Social and Cultural Impact

StoryVault is designed to support improved access to African historical and cultural information.

Education

The project can support students and educators by reducing the effort required to discover and organize preliminary research materials.

Cultural Awareness

The platform can make it easier for users to explore historical events, cultural practices, and African heritage.

Digital Accessibility

StoryVault can support the organization of publicly available information into more accessible research formats.

Research Efficiency

Researchers can spend less time on repetitive source gathering and more time on interpretation, verification, and deeper investigation.

Cultural Preservation

In the long term, StoryVault could support projects focused on documenting and discovering cultural knowledge.

The platform should not claim to preserve information permanently unless appropriate archival and preservation systems are actually implemented.

Responsible Representation

The project should encourage source awareness, contextual understanding, and respect for communities and cultural traditions.

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🔐 Security and Privacy

StoryVault should follow responsible security practices throughout development and deployment.

API Token Protection

Apify API tokens must be stored securely.

They should not be:

• Included in frontend code
• Committed to public repositories
• Shared in screenshots
• Published in documentation
• Embedded in publicly accessible files

Environment Variables

Sensitive credentials should be stored in environment variables or secure deployment secrets.

Example:

APIFY_API_TOKEN=your_private_token

The example above is illustrative. Actual secrets should never be placed in public documentation.

Input Validation

The application should validate user inputs before processing them.

Source Access

The Actor should respect applicable website access rules, terms of service, and technical limitations.

Personal Information

The system should avoid collecting unnecessary personal information.

If future versions process user accounts or saved research projects, appropriate privacy and access controls should be implemented.

Data Handling

The team should document:

• What information is collected
• Where results are stored
• How long data is retained
• Who can access the results
• How users can request deletion, where applicable

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⚠️ Limitations

StoryVault has several limitations that users should understand.

1. Source Availability

The Actor can only process sources that are accessible and supported by its implementation.

2. Data Quality

Extracted information may contain errors, incomplete context, or irrelevant content.

3. Historical Complexity

Historical topics may involve competing interpretations and incomplete records.

4. Verification Requirements

The Actor does not replace independent research, expert review, or source verification.

5. Website Changes

Websites may change their structure, content, access policies, or availability.

These changes can affect extraction performance.

6. Language Coverage

The quality of results may vary depending on the languages, terminology, and source formats supported by the implementation.

7. AI-Generated Information

If AI is used to summarize or organize information, generated text should be reviewed against the original sources.

8. Operational Costs

Large-scale crawling, repeated Actor runs, storage, and external API usage may create operational costs.

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🗺️ Future Roadmap

Short-Term Goals

• Improve Actor reliability
• Complete and validate input schema
• Complete and validate output schema
• Improve source handling
• Improve structured research output
• Add clearer verification notes
• Improve error handling
• Publish complete documentation

Medium-Term Goals

• Add more African research categories
• Expand supported source types
• Improve timeline extraction
• Add source comparison
• Add research export options
• Develop a user-facing research dashboard
• Add saved research projects

Long-Term Goals

• Build an African historical and cultural research infrastructure
• Partner with educational and cultural institutions
• Support specialized research workflows
• Enable API integrations
• Develop institutional solutions
• Explore multilingual research support
• Support responsible cultural knowledge discovery

The roadmap is subject to technical feasibility, user feedback, funding, and access to reliable sources.

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🧑‍💻 Local Development

The following instructions apply if the project source code is available in a local repository.

Prerequisites

Install:

• Node.js
• npm
• Git
• An Apify account
• An Apify API token for local development, if required

Clone the Repository

$git clone YOUR_GITHUB_REPOSITORY_URL

Move into the project directory:

$cd YOUR_PROJECT_DIRECTORY

Install Dependencies

$npm install

Configure Environment Variables

Create an environment file if the application requires one.

APIFY_API_TOKEN=your_private_token

Do not commit the environment file containing real credentials.

Start the Application

Use the command configured in the project.

Common examples include:

$npm start

or:

$npm run dev

The correct command should be confirmed in the project's package.json.

Build the Project

If a build process is configured:

$npm run build

The available commands depend on the actual project setup.

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📁 Project Structure

The following is an illustrative project structure.

It should be updated to reflect the actual repository.

storyvault/
│
├── src/
│   ├── main.js
│   ├── crawler.js
│   ├── processors/
│   ├── extractors/
│   └── utils/
│
├── .actor/
│   ├── actor.json
│   ├── input_schema.json
│   └── dataset_schema.json
│
├── package.json
├── package-lock.json
├── README.md
├── .gitignore
└── LICENSE

Do not include files or directories that do not exist in the actual repository.

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🧪 Testing and Quality Assurance

Before publishing or submitting the Actor, the team should test:

• Valid research topics
• Empty input values
• Unsupported input formats
• Invalid URLs
• Unavailable websites
• Source extraction errors
• Duplicate results
• Missing source links
• Conflicting dates
• Large input values
• Dataset output consistency

The Actor should also be tested with multiple historical and cultural topics to identify extraction limitations.

Any test results included in this README should reflect tests that have actually been performed.

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🤝 Contributing

Contributions and feedback are welcome.

To contribute:

1. Fork the repository.
2. Create a new branch.
3. Make your changes.
4. Test your changes.
5. Commit your updates.
6. Open a pull request.

Example:

$git checkout -b feature/improve-source-processing

$git add .

$git commit -m "Improve source processing"

$git push origin feature/improve-source-processing

Contributors should ensure that changes maintain source traceability, responsible data handling, and clear documentation.

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📄 License

Choose and insert the license that has actually been selected for the project.

For example:

This project is licensed under the MIT License.

Do not claim that the project uses the MIT License until the license file has been added to the repository.

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👩🏽‍💻 Team

Product and Project Direction

Alabi Ramat Eniola

Responsible for:

• Product direction
• Problem definition
• User experience planning
• Research workflow design
• Business model development
• Project coordination

Frontend

Fateha

Responsible for:

• Frontend development
• User interface implementation
• Research result presentation

Backend and Actor Development

[Insert confirmed team member name]

Responsible for:

• Backend implementation
• Apify Actor development
• Data processing
• API integration
• Technical implementation

Update the team roles and names to reflect the actual contributions of each member.

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🏆 Hackathon Context

StoryVault Africa was developed as an AI-assisted research and cultural discovery solution using the Apify platform.

The project demonstrates how web automation, structured data collection, and AI-assisted organization can be combined to support historical and cultural research.

The project focuses on:

• Practical use of Apify Actors
• Automated research workflows
• Structured data extraction
• Source traceability
• African historical and cultural discovery
• Scalable research infrastructure

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🙏 Acknowledgements

We acknowledge the platforms, communities, and resources that support the development of this project.

Special acknowledgement goes to:

• Apify
• She Code Africa
• Open-source contributors
• Public educational resources
• Historical and cultural research communities

Source attribution and appropriate permissions should be maintained when using external content.

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📬 Contact

For questions, collaboration, or feedback:

• Project: StoryVault Africa
• Apify: [Insert verified Actor URL]
• GitHub: [Insert repository URL]
• Email: [Insert project email]
• Team Contact: [Insert contact information]

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🔖 Final Note

StoryVault Africa is designed to make historical and cultural research more organized and accessible.

The Actor supports the initial discovery and structuring of publicly available information, but users should always review original sources and apply appropriate judgment before using research results for academic, professional, educational, or public-facing purposes.

StoryVault Africa: Discovering history. Organizing knowledge. Supporting responsible research.