/dataforseo
Keyword & SERP research via the DataForSEO API — search volume, competition, CPC, keyword ideas for naming/SEO decisions
Claude Code
$ npx -y skills add alinaqi/maggy --skill dataforseo --agent claude-code
Codex
$ npx skills add alinaqi/maggy --skill dataforseo -a codex -y
Cursor
$ npx skills add alinaqi/maggy --skill dataforseo -a cursor -y
Gemini CLI
$ npx skills add alinaqi/maggy --skill dataforseo -a gemini-cli -y
GitHub Copilot
$ npx skills add alinaqi/maggy --skill dataforseo -a github-copilot -y
OpenCode
$ npx skills add alinaqi/maggy --skill dataforseo -a opencode -y
Windsurf
$ npx skills add alinaqi/maggy --skill dataforseo -a windsurf -y
SKILL.md
dataforseo.SKILL.mdname: dataforseo
description: Keyword & SERP research via the DataForSEO API — search volume, competition, CPC, keyword ideas for naming/SEO decisions
when-to-use: When choosing a product/repo/domain name, sizing a keyword, checking search demand, or doing competitor/SEO research and WebSearch is not enough
user-invocable: true
effort: low
DataForSEO Skill — keyword & SERP research
**Purpose:** Get real search demand (monthly volume, competition, CPC) and keyword ideas from Google Ads data via [DataForSEO](https://dataforseo.com), so naming and content decisions are grounded in data rather than intuition.
Auth (never commit the key)
DataForSEO uses HTTP Basic auth. Provide credentials via environment only:
export DATAFORSEO_LOGIN="you@example.com"
export DATAFORSEO_PASSWORD="…"
# or a single combined value:
export DATAFORSEO_API_KEY="login:password" # or its base64
The helper reads these from the env — it never hardcodes or logs the secret, and only ever calls `api.dataforseo.com`. Keep the key in a local `.env` that is git-ignored; do not paste it into the repo, a URL, or chat.
Usage
The helper is `dataforseo.py` in this skill folder:
DFS="$(cat ~/.claude/.bootstrap-dir)/skills/dataforseo/dataforseo.py"
python3 "$DFS" whoami # auth check + balance
python3 "$DFS" volume "claude code" "coding agent" # search volume table
python3 "$DFS" ideas "coding agent" # related keyword ideas
# options: --location <code, default 2840=US> --language <code, default en>
`volume` → each keyword's monthly search volume, competition (LOW/MEDIUM/HIGH), and CPC. `ideas` → the searched long-tail around a seed.
Reading the results (naming decisions)
- **Zero / `n/a` volume on every candidate is itself the answer:** the names
aren't search terms, so SEO can't rank them against each other — decide on clarity/brand and accept that discovery happens on GitHub/HN/X, not search.
- **Category term vs. brand term:** a huge-volume category word (e.g. the tool's
ecosystem name) is where demand lives; a brand name rides it only if it contains it. Weigh discoverability against being on-brand for what you built.
- **Wrong-intent volume is a trap:** a candidate with existing volume may be
drawing an audience searching for something *else* (a different industry meaning). That volume hurts, it doesn't help.
- **Competition + CPC** proxy commercial intent, not just popularity — high CPC
means advertisers pay for that term (buyers), low CPC often means informational or noise.
Cost & etiquette
`live` endpoints bill per call (search volume / ideas ≈ $0.05–0.10 each). Batch many keywords into ONE `volume` call (it accepts up to 1000) rather than looping. Check `whoami` for balance before large runs.
Common endpoints (beyond the helper)
| Need | Endpoint | |------|----------| | Search volume | `keywords_data/google_ads/search_volume/live` | | Keyword ideas | `keywords_data/google_ads/keywords_for_keywords/live` | | SERP (who ranks) | `serp/google/organic/live/advanced` | | Ranked keywords for a domain | `dataforseo_labs/google/ranked_keywords/live` | | Competitor domains | `dataforseo_labs/google/competitors_domain/live` |
All take the same Basic-auth header; POST a JSON array of task objects.
Read more
name: dataforseo description: Keyword & SERP research via the DataForSEO API — search volume, competition, CPC, keyword ideas for naming/SEO decisions when-to-use: When choosing a product/repo/domain name, sizing a keyword, checking search demand, or doing competitor/SEO research and WebSearch is not enough user-invocable: true effort: low
DataForSEO Skill — keyword & SERP research
**Purpose:** Get real search demand (monthly volume, competition, CPC) and keyword ideas from Google Ads data via [DataForSEO](https://dataforseo.com), so naming and content decisions are grounded in data rather than intuition.
Auth (never commit the key)
DataForSEO uses HTTP Basic auth. Provide credentials via environment only:
export DATAFORSEO_LOGIN="you@example.com" export DATAFORSEO_PASSWORD="…" # or a single combined value: export DATAFORSEO_API_KEY="login:password" # or its base64
The helper reads these from the env — it never hardcodes or logs the secret, and only ever calls `api.dataforseo.com`. Keep the key in a local `.env` that is git-ignored; do not paste it into the repo, a URL, or chat.
Usage
The helper is `dataforseo.py` in this skill folder:
DFS="$(cat ~/.claude/.bootstrap-dir)/skills/dataforseo/dataforseo.py" python3 "$DFS" whoami # auth check + balance python3 "$DFS" volume "claude code" "coding agent" # search volume table python3 "$DFS" ideas "coding agent" # related keyword ideas # options: --location <code, default 2840=US> --language <code, default en>
`volume` → each keyword's monthly search volume, competition (LOW/MEDIUM/HIGH), and CPC. `ideas` → the searched long-tail around a seed.
Reading the results (naming decisions)
- **Zero / `n/a` volume on every candidate is itself the answer:** the names
aren't search terms, so SEO can't rank them against each other — decide on clarity/brand and accept that discovery happens on GitHub/HN/X, not search.
- **Category term vs. brand term:** a huge-volume category word (e.g. the tool's
ecosystem name) is where demand lives; a brand name rides it only if it contains it. Weigh discoverability against being on-brand for what you built.
- **Wrong-intent volume is a trap:** a candidate with existing volume may be
drawing an audience searching for something *else* (a different industry meaning). That volume hurts, it doesn't help.
- **Competition + CPC** proxy commercial intent, not just popularity — high CPC
means advertisers pay for that term (buyers), low CPC often means informational or noise.
Cost & etiquette
`live` endpoints bill per call (search volume / ideas ≈ $0.05–0.10 each). Batch many keywords into ONE `volume` call (it accepts up to 1000) rather than looping. Check `whoami` for balance before large runs.
Common endpoints (beyond the helper)
| Need | Endpoint | |------|----------| | Search volume | `keywords_data/google_ads/search_volume/live` | | Keyword ideas | `keywords_data/google_ads/keywords_for_keywords/live` | | SERP (who ranks) | `serp/google/organic/live/advanced` | | Ranked keywords for a domain | `dataforseo_labs/google/ranked_keywords/live` | | Competitor domains | `dataforseo_labs/google/competitors_domain/live` |
All take the same Basic-auth header; POST a JSON array of task objects.
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Questions about dataforseo.
- Which coding agents can use dataforseo?
- dataforseo installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

