Parseur is a powerful document parsing tool that enables AI agents to automate data extraction from emails and PDFs via structured mailboxes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install parseur
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install parseur using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Parseur?
Parseur serves as a robust document parsing and data extraction engine designed to streamline business workflows by converting unstructured content into actionable data. By utilizing this skill within Openclaw Skills, developers can empower their agents to handle complex document processing tasks, such as reading invoices, capturing leads, or organizing shipping notifications. The integration is powered by Membrane, which simplifies the developer experience by managing authentication and API connectivity server-side.
This skill allows for deep integration with Parseur mailboxes and templates, ensuring that data is extracted accurately and consistently. By abstracting the authentication layer, Openclaw Skills can focus on the logic of data processing rather than the plumbing of API keys and token refreshes, making it an essential tool for any automation-focused AI agent.
Parseur Use Cases
- Automating lead generation by extracting contact details from incoming inquiry emails.
- Processing high volumes of PDF invoices to extract line items and total amounts for accounting.
- Extracting shipping and tracking information from carrier notification emails for real-time updates.
- Organizing unstructured document data into structured formats for CRM or database synchronization.
How Parseur Works
- The agent installs and initializes the Membrane CLI to manage communication with the Parseur API.
- User authentication is handled through a secure login flow, supporting both interactive and headless environments.
- A connection is established to the Parseur domain, ensuring the agent has authorized access to specific mailboxes.
- The agent uses natural language intent searching to discover relevant actions for document retrieval or parsing.
- Structured data is extracted from documents and returned as JSON, ready for use in downstream agent tasks.
- For advanced requirements, the agent can proxy raw requests through Membrane to access the full breadth of the Parseur API.
Parseur Setup
To get started with Parseur on Openclaw Skills, install the Membrane CLI:
npm install -g @membranehq/cli@latest
Authenticate your agent session:
membrane login --tenant --clientName=openclaw
Ensure a connection to Parseur is established:
membrane connection ensure "https://parseur.com" --json
Verify that the connection is ready before proceeding with document parsing actions.
Parseur Data Schema & Taxonomy
The skill organizes Parseur data into a hierarchical structure to facilitate easy navigation by AI agents:
| Level | Entity | Purpose |
|---|---|---|
| 1 | Mailbox | The primary workspace where documents are received and processed. |
| 2 | Document | The raw file (Email, PDF, etc.) containing the data to be extracted. |
| 3 | Template | The extraction ruleset defined by the user to identify specific fields. |
| 4 | Data | The resulting structured JSON object containing the parsed information. |
Parseur Advanced Features
- Natural language action discovery allows agents to find the correct Parseur tools based on current task context.
- Transparent credential management ensures that Openclaw Skills never lose access due to expired tokens.
- Headless environment support enables deployment on remote servers via manual authorization code completion.
- Proxy request support allows for custom API interactions while maintaining automated header and auth injection.
SKILL.md
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