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
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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