Use OpenClaw to build an AI automatic collection system in 30 minutes: grab structured data from web pages
No need to write code, use OpenClaw's browser tool and AI to automatically collect any web page data
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Use OpenClaw to build an AI automatic collection system in 30 minutes: grab structured data from web pages
Tutorial Objectives
Do you often need to collect information from a web page—competitor pricing, industry news, job postings, product data—and then manually copy and paste it into a table? Not only is this a waste of time, it's also error-prone.
In this tutorial, I will teach you step by step how to use OpenClaw's browser tool and DeepSeek V4's AI capabilities to build a fully automated web page data collection system. All operations do not require writing a single line of code and can be completed in 30 minutes.
Pain point issues:
- Manually copying web page data is time-consuming and labor-intensive, and at least 1-2 hours are wasted every day.
- Manual entry is prone to errors and the data format is not uniform
- Unable to automatically update regularly, information lags behind
What will you build?
After completing this tutorial, you will have:
- ✅ A browser tool that can automatically open the target web page and capture the specified content
- ✅ An AI processing chain that can automatically organize original web text into structured tables
- ✅ A scheduled task that runs automatically every morning and outputs the results to a local file
Prerequisites:
- Node.js (v18+) and npm installed
- There is an OpenClaw runtime environment
- Understand basic command line operations
Preparation list
Account preparation:
- OpenClaw is installed and available locally
- There is an AI API key (such as DeepSeek, OpenRouter, etc.)
Knowledge Preparation:
- Basic understanding of terminal/command line operations
- Familiar with Markdown format
Budget Estimate:
- OpenClaw: free and open source, no payment required
- AI API: DeepSeek V4 costs about 0.01 yuan per acquisition, less than 1 yuan per month
Overall architecture
| Tools | Role | Cost | Role in this tutorial |
|---|---|---|---|
| OpenClaw | Core automation platform | Free | Main process scheduling |
| Browser tool | Open web pages and collect content | Free | Data collection |
| DeepSeek V4 | AI processing of original text | About 0.01 yuan/time | Structured output |
Data flow:
## ] → [OpenClaw] → [AI] → [Step 1: OpenClaw
****OpenClaw,AI。
# OpenClaw
npm install -g openclaw
#
openclaw --version
#
openclaw toolsopenclaw 。 browser ,。
⚠️ ****
npm install -g,sudo npm install -g openclaw,npx openclaw()。
Step 2:
**** OpenClaw ,。
#
openclaw browser navigate "https://example.com/products"
#
openclaw browser snapshot --full(Headless Browser),。 --full ,。
⚠️ ****,,。
Step 3: AI
****HTML/,AI。
# AI
openclaw ai process --input raw_content.txt --format json --schema "、、、"{
"provider": "deepseek",
"model": "deepseek-v4-flash",
"system_prompt": "。,JSON。",
"temperature": 0.1,
"max_tokens": 2000
}****AI schema 。,。DeepSeek V4 ,——100token12。
❌ ****,AI ✅ ****system prompt
returns JSON format
Step 4:
**** OpenClaw cron ,。
# ,8
openclaw cron create \
--name "daily-data-collection" \
--schedule "0 8 * * *" \
--task ""#
openclaw cron list
#
openclaw cron run "daily-data-collection"// , n8n
// OpenClawwebhookn8n,、❌ ****,cron ✅ ****cron,
Asia/Shanghai
❌ ****IP ✅ ****11,
,
- 1
- JSON,
- ,1-2
| 10-30 | 1-2 | |
| 1-2 | ||
| () | (AI) | |
| , |
**Q1: **
A: JavaScript,JS。,
--user-agent。
Q2: AI
A: system prompt。prompt "JSON,"。
**Q3: **
A: cron
0 8 * * *means execution at 8:00 every morning. Also check if the OpenClaw background process is running.
Advanced skills
Optimization 1 — Multi-page collection:
If you need to collect multiple pages, you can write a simple loop script to pass different URLs into the browser tool and process them one by one. Cooperating with the concurrency function of OpenClaw can greatly improve efficiency.
Optimization 2 — Data deduplication:
The results of each collection may contain duplicate data. You can add deduplication logic before output, or use n8n to connect to the database to achieve incremental updates.
Automation Enhancements:
If you want further automation, you can integrate n8n or LangGraph to orchestrate a more complex workflow - such as a fully automatic link of collection → cleaning → warehousing → notification.
Tool entry
This tutorial uses the following tools, click to view detailed introduction:
- OpenClaw: the core automation platform on which the scheduling and orchestration of all steps are completed
- DeepSeek V4: AI processing engine used to convert raw web page text into structured data
- n8n: Optional workflow orchestration tool for more complex data post-processing
Related resources
Extended reading:
Tool Link:
- OpenClaw: https://github.com/nousresearch/openclaw
- DeepSeek: https://platform.deepseek.com/
- n8n: https://n8n.io/
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