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dataforseo-cli

LLM-friendly keyword research CLI for AI agents. Check search volume, CPC, keyword difficulty, and competition via DataForSEO API. Find related keywords, analyze competitor rankings. Outputs TSV by default (optimized for agent context windows). Use when doing SEO research, content planning, or competitive keyword analysis.

作者: admin | 来源: ClawHub
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V 1.0.7
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dataforseo-cli

# Keyword Research with dataforseo-cli LLM-friendly keyword research CLI. Wraps the DataForSEO API and outputs TSV by default — compact, structured, and optimized for agent context windows. **npm:** https://www.npmjs.com/package/dataforseo-cli **GitHub:** https://github.com/alexgusevski/dataforseo-cli ## Setup ### 1. Install from npm ```bash npm install -g dataforseo-cli ``` ### 2. Check credentials ```bash dataforseo-cli status ``` If credentials are already configured, you're good to go. If not, authenticate: ```bash # With login + password dataforseo-cli --set-credentials login=YOUR_LOGIN password=YOUR_PASSWORD # Or with base64 token (from DataForSEO email) dataforseo-cli --set-credentials base64=YOUR_BASE64_TOKEN ``` Credentials are stored in `~/.config/dataforseo-cli/config.json`. The `locations` and `languages` commands work without credentials (local data). ## Commands ### `status` — Check credentials Check if API credentials are configured without making any API calls. ```bash dataforseo-cli status ``` Exits 0 if configured, exits 1 if not. Shows login username (not password). ### `volume` — Keyword metrics Get search volume, CPC, keyword difficulty (0–100), competition level, and 12-month search trend. ```bash dataforseo-cli volume <keywords...> [options] ``` **Arguments:** - `<keywords...>` — One or more keywords (required). Batch multiple keywords in one call to save API requests. **Options:** - `-l, --location <code>` — Location code (default: `2840` = US) - `--language <code>` — Language code (default: `en`) - `--json` — Output as JSON array - `--table` / `--human` — Output as human-readable table **Example:** ```bash dataforseo-cli volume "seo tools" "keyword research" "backlink checker" ``` **Output (TSV):** ``` keyword volume cpc difficulty competition trend seo tools 12500 2.35 45 HIGH 14800,13900,12500,12100,11800,12000,12500,13000,12800,12500,12200,11900 ``` - `difficulty` — 0–100 scale (0-30 easy, 31-60 medium, 61-100 hard) - `cpc` — Cost per click in USD - `competition` — LOW / MEDIUM / HIGH - `trend` — 12 monthly search volumes, newest first ### `related` — Keyword suggestions Find related keyword ideas from a seed keyword. ```bash dataforseo-cli related <seed> [options] ``` **Arguments:** - `<seed>` — Seed keyword (required, single keyword) **Options:** - `-l, --location <code>` — Location code (default: `2840` = US) - `--language <code>` — Language code (default: `en`) - `-n, --limit <n>` — Max results (default: `50`) - `--json` — Output as JSON array - `--table` / `--human` — Output as human-readable table **Example:** ```bash dataforseo-cli related "ai agents" -n 20 ``` **Output (TSV):** ``` keyword volume cpc competition difficulty best ai agents 8100 3.10 0.82 52 ai agent framework 2400 1.85 0.65 38 ``` ### `competitor` — Domain keyword analysis See what keywords a domain currently ranks for. ```bash dataforseo-cli competitor <domain> [options] ``` **Arguments:** - `<domain>` — Target domain (required, e.g. `ahrefs.com`) **Options:** - `-l, --location <code>` — Location code (default: `2840` = US) - `--language <code>` — Language code (default: `en`) - `-n, --limit <n>` — Max results (default: `50`) - `--json` — Output as JSON array - `--table` / `--human` — Output as human-readable table **Example:** ```bash dataforseo-cli competitor semrush.com -n 10 ``` **Output (TSV):** ``` keyword position volume cpc difficulty url backlink checker 1 33100 4.50 72 https://ahrefs.com/backlink-checker ``` ### `locations` — Look up location codes List all available location codes, or filter by name. Works offline — no API credentials needed. ```bash dataforseo-cli locations [search] [--json] ``` **Arguments:** - `[search]` — Optional filter by name (e.g. `sweden`, `new york`) **Without search** — lists all locations: ```bash dataforseo-cli locations ``` **With search** — filters by name: ```bash dataforseo-cli locations sweden ``` **Output (TSV):** ``` code name country type 2752 Sweden SE Country ``` ### `languages` — Look up language codes List all available language codes, or filter by name. Works offline — no API credentials needed. ```bash dataforseo-cli languages [search] [--json] ``` **Without search** — lists all languages: ```bash dataforseo-cli languages ``` **With search** — filters by name: ```bash dataforseo-cli languages swedish ``` **Output (TSV):** ``` name code Swedish sv ``` ## Output Formats All data commands default to TSV (tab-separated values) — the most token-efficient structured format for LLMs. | Flag | Description | |------|-------------| | *(default)* | TSV — fewest tokens, best for agent pipelines | | `--json` | JSON array — use when you need structured parsing | | `--table` / `--human` | Human-readable aligned table — for human review | ## Caching Results are cached in `~/.config/dataforseo-cli/cache/` to avoid duplicate API calls and save costs. Same query + location + language = cache hit. ```bash dataforseo-cli --print-cache ``` ## Workflow: SEO Article Research 1. **Start with seed keyword:** `dataforseo-cli volume "your topic"` 2. **Expand:** `dataforseo-cli related "your topic" -n 30` 3. **Filter:** Pick keywords with volume > 100, difficulty < 60 4. **Check competitors:** `dataforseo-cli competitor competitor-domain.com -n 20` 5. **Write article** targeting the best keyword cluster ## Tips - Batch keywords in `volume` — DataForSEO charges per API request, not per keyword - Default location is USA (2840). Always set `--location` for local/international SEO - Use `locations` and `languages` without arguments to see all available options - Difficulty scale: 0-30 easy, 31-60 medium, 61-100 hard

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⬇ 下载 dataforseo-cli v1.0.7

文件大小: 2.82 KB | 发布时间: 2026-4-17 18:16

v1.0.7 最新 2026-4-17 18:16
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- Functionality and documentation remain unchanged from the previous version.

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