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TinyFish Web Agent

by tinyfish · v0.0.4

AI-powered web automation that turns natural language into browser actions

682 installsUpdated May 29, 2026
Publisher information is incomplete

This community listing does not yet include every recommended support, privacy, pricing, and permission disclosure. Review the available package permissions before installing.

Capabilities

Tools

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

tool

Version

0.0.4tinyfish

Requirements

Maximum memory 256MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Uses app capability
  • Uses endpoint capability
  • Uses storage capability
  • Uses tool capability
  • Requires encrypted tool credentials

Dependencies

No additional dependencies

Resources

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TinyFish Web Agent Plugin for Dify

Overview

TinyFish Web Agent enables enterprises, builders, and developers to deploy AI agents that navigate real sites, complete real workflows across authenticated systems and dynamic interfaces, and return structured operational intelligence - through our visual platform or API. At scale. Reliably.

Configuration

1. Install TinyFish Web Agent Tool

  1. On the Dify platform, access the Plugin Marketplace.
  2. Locate and install the TinyFish Web Agent tool.

2. Create a TinyFish Web Agent API Key

Visit TinyFish Dashboard and generate your API key.

3. Authorize TinyFish Web Agent

Go to Plugins > TinyFish Web Agent > To Authorize in Dify and input your API key.

Workflow Usage

Integrate TinyFish Web Agent into your pipeline by following these steps:

  1. Add TinyFish Web Agent's Run Asynchronously tool to your pipeline.
  2. Configure input variables in the tool's UI.
  3. Run the pipeline to extract any information from a web page.

Agent Usage

  1. Add all TinyFish Web Agent tools to your Agent app.
  2. Prompt the Agent to perform web automations using natural language. The Agent will choose the appropriate tool automatically.

Available tools:

ToolDescription
Run SynchronouslyExecute browser automation and wait for the result in a single response.
Run AsynchronouslyStart browser automation and return a run_id immediately. Use with Get Run to poll for results.
Run with SSE StreamingExecute browser automation with real-time progress updates via Server-Sent Events.
List RunsList previous automation runs, with optional status filtering and pagination.
Get RunGet detailed information about a specific automation run by its ID.

Example prompts:

  • "Extract the blog post titles and authors from https://example.com/blog"
  • "Go to https://example.com/pricing and extract all plan names and prices"
  • "List my recent automation runs that have completed"

Debugging the Plugin

Dify provides a remote debugging method.

1. Get debugging key and server address

On the platform, go to the "Plugin Management" page to get the debugging key and remote server address.

2. Add server and key to your environment

Go back to the plugin project, copy the .env.example file and rename it to .env. Fill it with the remote server address and debugging key.

The .env file:

INSTALL_METHOD=remote
REMOTE_INSTALL_URL=debug.dify.ai:5003
REMOTE_INSTALL_KEY=********-****-****-****-************

3. Launch the plugin

Run the python -m main command to launch the plugin. You can see on the plugin page that the plugin has been installed into Workspace.

Contributing

We love getting contributions! To get started, here's how to set up development for the TinyFish Web Agent Dify Plugin:

1. Fork this repository

2. Clone the repository

Clone the forked repository from your terminal:

git clone git@github.com:<github_username>/tinyfish-web-agent-integrations.git

3. Install dependencies with virtual environment (Recommended)

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

4. Make your changes and save

5. Ensure the plugin works

See the previous Debugging Guide.

6. Submit a Pull Request

After confirming that the plugin works properly, submit a pull request to the main branch of this repository. If you run into issues like merge conflicts or don't know how to open a pull request, check out GitHub's pull request tutorial.

Support

Need help or have a question while using or contributing to the plugin? File a GitHub issue.