Harvester

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Harvester is an open-source data acquisition framework for gathering information from various sources. It helps data scientists and AI researchers collect comprehensive data, particularly from GitHub and web endpoints.

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At a glance

Pricing

free

Free tier

Yes

API

—

Skill level

Technical

About

What is harvester?

Harvester is an open-source data acquisition framework built for collecting information from diverse sources. It specifically focuses on extracting data from GitHub and general web endpoints. The framework provides a practical example of discovering AI service provider keys, indicating its utility in security research or competitive intelligence. Harvester is designed to be a valuable tool for data scientists and AI researchers who require comprehensive data collection capabilities for their projects and analyses.

Best used for

Collecting comprehensive data from GitHub and web endpoints for data science, AI research, or security intelligence.

Common actions

Collect data

Scrape web

Gather intelligence

Research AI services

Analyze data sources

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Capabilities

Key features

Open-source
Data acquisition
GitHub integration
Web endpoint data
AI key discovery

Target Audience

Data ScientistsAI ResearchersDevelopersSecurity Researchers

Integrations

Not yet documented

Pricing & Plans

free

Free

FAQs

Is Harvester truly free and open-source, or are there hidden costs or premium features?

Harvester is completely free and open-source, licensed under the MIT License. There are no hidden costs, premium features, or paid tiers. All functionalities described are available without charge, and the source code is publicly accessible for review and modification.

What kind of data can Harvester extract from GitHub beyond basic repository information?

Harvester can be configured to extract a wide range of data from GitHub, including code, commit history, issue discussions, pull request details, user profiles, and even potentially sensitive information like API keys if exposed in public repositories. Its flexibility allows for deep dives into repository content.

Can Harvester be used to discover API keys for services other than AI providers?

Yes, while the example highlights AI service provider keys, Harvester's core capability is to identify patterns and extract specific data points from web content. It can be adapted to discover various types of API keys, credentials, or other sensitive information exposed on web endpoints or in codebases, given appropriate configuration.

Does Harvester provide any mechanisms to handle rate limiting when collecting data from web endpoints or APIs?

As an open-source framework, Harvester's core doesn't include built-in, sophisticated rate-limiting evasion. Users are responsible for implementing appropriate delays, back-off strategies, and respecting API terms of service to avoid IP bans or service interruptions during data collection.

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