OpenClaw

seo-dataforseo

SEO keyword research using the DataForSEO API. Perform keyword analysis, YouTube keyword research, competitor analysis, SERP analysis, and trend tracking. Use when the user asks to: research keywords, analyze search volume/CPC/competition, find keyword suggestions, check keyword difficulty, analyze competitors, get trending topics, do YouTube SEO research, or optimize landing page keywords. Requires a DataForSEO API account and credentials in .env file.

adamkristopher0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install adamkristopher/seo-dataforseo

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

SEO Keyword Research (DataForSEO)

Setup

Install dependencies:

pip install -r scripts/requirements.txt

Configure credentials by creating a .env file in the project root:

DATAFORSEO_LOGIN=your_email@example.com
DATAFORSEO_PASSWORD=your_api_password

Get credentials from: https://app.dataforseo.com/api-access

Quick Start

User says	Function to call
"Research keywords for [topic]"	`keyword_research("topic")`
"YouTube keyword data for [idea]"	`youtube_keyword_research("idea")`
"Analyze competitor [domain.com]"	`competitor_analysis("domain.com")`
"What's trending?"	`trending_topics()`
"Keyword analysis for [list]"	`full_keyword_analysis(["kw1", "kw2"])`
"Landing page keywords for [topic]"	`landing_page_keyword_research(["kw1"], "competitor.com")`

Execute functions by importing from scripts/main.py:

import sys
from pathlib import Path
sys.path.insert(0, str(Path("scripts")))
from main import *

result = keyword_research("AI website builders")

Workflow Pattern

Every research task follows three phases:

1. Research

Run API functions. Each function call hits the DataForSEO API and returns structured data.

2. Auto-Save

All results automatically save as timestamped JSON files to results/{category}/. File naming pattern: YYYYMMDD_HHMMSS__operation__keyword__extra_info.json

3. Summarize

After research, read the saved JSON files and create a markdown summary in results/summary/ with data tables, ranked opportunities, and strategic recommendations.

High-Level Functions

These are the primary functions in scripts/main.py. Each orchestrates multiple API calls for a complete research workflow.

Function	Purpose	What it gathers
`keyword_research(keyword)`	Single keyword deep-dive	Overview, suggestions, related keywords, difficulty
`youtube_keyword_research(keyword)`	YouT...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/adamkristopher/seo-dataforseo
Version: —
Commit: fddb993e9e32d45d608bf6245de8c5b05df95f98
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# SEO Keyword Research (DataForSEO)

## Setup

Install dependencies:

```bash
pip install -r scripts/requirements.txt
```

Configure credentials by creating a `.env` file in the project root:

```
DATAFORSEO_LOGIN=your_email@example.com
DATAFORSEO_PASSWORD=your_api_password
```

Get credentials from: https://app.dataforseo.com/api-access

## Quick Start

| User says | Function to call |
|-----------|-----------------|
| "Research keywords for [topic]" | `keyword_research("topic")` |
| "YouTube keyword data for [idea]" | `youtube_keyword_research("idea")` |
| "Analyze competitor [domain.com]" | `competitor_analysis("domain.com")` |
| "What's trending?" | `trending_topics()` |
| "Keyword analysis for [list]" | `full_keyword_analysis(["kw1", "kw2"])` |
| "Landing page keywords for [topic]" | `landing_page_keyword_research(["kw1"], "competitor.com")` |

Execute functions by importing from `scripts/main.py`:

```python
import sys
from pathlib import Path
sys.path.insert(0, str(Path("scripts")))
from main import *

result = keyword_research("AI website builders")
```

## Workflow Pattern

Every research task follows three phases:

### 1. Research
Run API functions. Each function call hits the DataForSEO API and returns structured data.

### 2. Auto-Save
All results automatically save as timestamped JSON files to `results/{category}/`. File naming pattern: `YYYYMMDD_HHMMSS__operation__keyword__extra_info.json`

### 3. Summarize
After research, read the saved JSON files and create a markdown summary in `results/summary/` with data tables, ranked opportunities, and strategic recommendations.

## High-Level Functions

These are the primary functions in `scripts/main.py`. Each orchestrates multiple API calls for a complete research workflow.

| Function | Purpose | What it gathers |
|----------|---------|----------------|
| `keyword_research(keyword)` | Single keyword deep-dive | Overview, suggestions, related keywords, difficulty |
| `youtube_keyword_research(keyword)` | YouT...

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