Google Maps
cablate/mcp-google-map
Search places, resolve addresses, compare routes, inspect neighborhoods, and retrieve geographic or environmental facts through the standalone @cablate/mcp-google-map CLI.
When the user needs bulk SERP data, local pack data at scale, keyword volumes for hundreds of terms at once, Google Maps business data programmatically, or is building custom local SEO…
Install Dataforseo Tool
$ npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install garrettjsmith/localseoskills dataforseo-tool --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dataforseo-tool .claude/skills/dataforseo-tool && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dataforseo-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool into .claude/skills/dataforseo-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataforseo-tool", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-toolType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install garrettjsmith/localseoskills dataforseo-tool --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dataforseo-tool .agents/skills/dataforseo-tool && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dataforseo-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool into .agents/skills/dataforseo-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataforseo-tool", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install garrettjsmith/localseoskills dataforseo-tool --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dataforseo-tool .cursor/skills/dataforseo-tool && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dataforseo-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool into .cursor/skills/dataforseo-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataforseo-tool", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/garrettjsmith/localseoskills.git --path skills/dataforseo-tool--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install garrettjsmith/localseoskills dataforseo-tool --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dataforseo-tool .gemini/skills/dataforseo-tool && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dataforseo-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool into .gemini/skills/dataforseo-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataforseo-tool", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install garrettjsmith/localseoskills dataforseo-toolInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dataforseo-tool .github/skills/dataforseo-tool && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dataforseo-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool into .github/skills/dataforseo-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataforseo-tool", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install garrettjsmith/localseoskills dataforseo-tool --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dataforseo-tool .opencode/skills/dataforseo-tool && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dataforseo-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool into .opencode/skills/dataforseo-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataforseo-tool", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dataforseo-tool- GitHub stars
- 120
- Token cost
- ~1.5k tokens
- SKILL.md length
- 699 words
- Files
- 1
- Skills in repo
- 38
- Repo updated
- First seen
- Licence
- MIT
At a glance
When the user needs bulk SERP data, local pack data at scale, keyword volumes for hundreds of terms at once, Google Maps business data programmatically, or is building custom local SEO…
- Works in 5 steps: Define grid of coordinates for the… → For each coordinate, run… → Parse results to find target business… → …
- Needs bulk SERP data
- SKILL.md covers When to Use DataForSEO vs…, When DataForSEO Is the Right…, Core Workflows and Pricing Awareness, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Dataforseo Tool is an agent skill from garrettjsmith/localseoskills. When the user needs bulk SERP data, local pack data at scale, keyword volumes for hundreds of terms at once, Google Maps business data programmatically, or is building custom local SEO tools/dashboards. Trigger on "bulk keyword data," "SERP data at scale," "DataForSEO," "Google Maps API data," "business data API," or when any other keyword/SERP tool would be too slow for the volume needed.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Local SEO. It works with Google Maps Platform and SerpApi. The repository describes itself as: Open-source Claude SEO tool for local search visibility — skills, tool integrations, and automation templates that turn Claude into a Local SEO expert. The licence is MIT.
When your agent uses it
- Needs bulk SERP data
- Local pack data at scale
- Keyword volumes for hundreds of terms at once
- Google Maps business data programmatically
Example prompts
- “bulk keyword data,”
- “SERP data at scale,”
- “DataForSEO,”
- “/dataforseo-tool”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Define grid of coordinates for the service area
- For each coordinate, run serp/google/maps/live with target keyword
- Parse results to find target business position at each point
- Aggregate into ARP/SoLV-style metrics
- Schedule to run weekly/monthly
What it can do on your machine
Read from SKILL.md and the folder at commit 405ce20. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dataforseo Tool loads about 1.5k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 699 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from garrettjsmith/localseoskills at commit 405ce20, republished under its MIT licence (© garrettjsmith). 699 words, ~1,483 tokens.
Download SKILL.mdSave it as
.claude/skills/dataforseo-tool/SKILL.md (or your agent's skills folder).- name
- dataforseo-tool
- description
- When the user needs bulk SERP data, local pack data at scale, keyword volumes for hundreds of terms at once, Google Maps business data programmatically, or is building custom local SEO tools/dashboards. Trigger on "bulk keyword data," "SERP data at scale," "DataForSEO," "Google Maps API data," "business data API," or when any other keyword/SERP tool would be too slow for the volume needed.
- metadata.version
- 1.0.0
- metadata.author
- Garrett Smith
DataForSEO Tool
Note: LocalSEOData (
localseodata-tool) is built on DataForSEO and provides a simplified, pre-assembled layer for most local SEO data needs. Use LocalSEOData as default. DataForSEO is still the right choice for massive bulk operations (1000+ queries) or custom pipeline builds that need raw API access.
DataForSEO has an official MCP server. When connected, use it for bulk SEO data operations — SERP results, keyword volumes, business data, and backlinks at scale. This is your bulk data and custom tooling API.
When to Use DataForSEO vs Other Tools
| You Need | Use DataForSEO | Use Instead |
|---|---|---|
| Keyword volume for 500+ terms at once | ✅ Best for bulk | Semrush (for smaller batches) |
| SERP results for many keyword+location combos | ✅ Best for scale | SerpAPI (for individual queries) |
| Google Maps business data programmatically | ✅ | — |
| Google reviews for a business via API | ✅ | — |
| Local pack monitoring at scale (custom build) | ✅ | Local Falcon (turnkey solution) |
| Backlink data | ⚠️ Has it, smaller index | Ahrefs (preferred) |
| Single keyword research | ❌ Overkill | Semrush |
| Single SERP check | ❌ Overkill | SerpAPI |
| Citation audit | ❌ | BrightLocal |
| Geogrid ranking visualization | ❌ | Local Falcon |
When DataForSEO Is the Right Choice
DataForSEO is the right tool when:
- Volume: You need data for 100+ keywords, 50+ locations, or 20+ competitors at once
- Custom builds: You're building a dashboard, tool, or automated system
- Programmatic access: You need structured data for processing, not human reading
- Cost efficiency at scale: Pay-per-task pricing beats subscription tools for bulk operations
DataForSEO is NOT the right tool when:
- You need one quick answer (use SerpAPI or Semrush)
- You need a turnkey product with visualizations (use Local Falcon, BrightLocal)
- You need editorial link analysis (use Ahrefs)
Core Workflows
Bulk Local Keyword Volume
When: Have a large keyword list and need volume data for all of them.
Endpoints:
keywords_data/google_ads/search_volume— volume, CPC, competition for keyword listkeywords_data/google_ads/keywords_for_site— keywords a domain gets traffic for
Use case: You've generated 200 service+city keyword combinations from local-keyword-research. Instead of checking each one in Semrush, batch them through DataForSEO.
What you get: Volume, CPC, competition level, monthly trends for each keyword.
Bulk SERP Data
When: Need to check local pack presence across many keywords or locations.
Endpoints:
serp/google/organic/live— full SERP with local packserp/google/maps/live— Google Maps resultsserp/google/local_finder/live— local finder specifically
Use case: Check 50 keywords across 10 cities to see which trigger local packs and who appears in them. That's 500 SERP checks — impossible manually, trivial via DataForSEO.
What to extract:
- Does a local pack appear? (local intent confirmation)
- Who's in the local pack? (competitor identification)
- Are ads present? (commercial value)
- AI Overview present? (content optimization signal)
Show full SKILL.md (282 more words)Show less
Google Business Data
When: Need GBP information about competitors or a market programmatically.
Endpoints:
business_data/google/my_business_info— GBP details (name, address, categories, hours, photos, etc.)business_data/google/reviews— Google reviews with text, rating, date
Use case:
- Pull GBP data for top 20 competitors in a market to compare categories, review counts, ratings
- Extract reviews for sentiment analysis
- Monitor competitor GBP changes over time
Custom Local Rank Monitoring
When: Building a custom ranking tool or dashboard instead of using Local Falcon.
Approach:
- Define grid of coordinates for the service area
- For each coordinate, run
serp/google/maps/livewith target keyword - Parse results to find target business position at each point
- Aggregate into ARP/SoLV-style metrics
- Schedule to run weekly/monthly
When to build custom vs use Local Falcon:
- Local Falcon: Turnkey, visual, campaign management, client-shareable reports
- DataForSEO custom: Full control, custom metrics, integrates into your own systems, cheaper at very high volume
Pricing Awareness
- Pay-per-task model — each API call costs credits
- SERP tasks: ~$0.002-0.005 per result
- Keyword data: ~$0.05 per batch of keywords
- Business data: ~$0.005 per result
- Always estimate total cost before running bulk operations
- Use async endpoints for large batches (submit tasks, poll for results)
What to Do Next
| What You Got | Next Action | Skill |
|---|---|---|
| Bulk keyword volumes | Group by service, map to pages, prioritize by volume × intent | local-keyword-research |
| SERP data showing local pack presence | Focus GBP optimization on keywords with local packs | gbp-optimization |
| Competitor GBP data | Analyze category usage, review benchmarks, service coverage | local-competitor-analysis |
| Competitor reviews extracted | Analyze for sentiment themes, common complaints/praise | review-management |
| Custom ranking data | Interpret using geogrid analysis framework | geogrid-analysis |
Default next step: DataForSEO gives you raw data. Always pair it with an analysis skill to turn data into decisions.
© garrettjsmith, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/dataforseo-tool of garrettjsmith/localseoskills.
Open the folder on GitHubat commit 405ce20
Compare with similar skills
Dataforseo Tool next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dataforseo Tool this skillgarrettjsmith/localseoskills | 120 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Google Mapscablate/mcp-google-map | 469 | — | ~909 | Automated safety check: Pass | MIT | |
| Google Maps Local SEOcablate/mcp-google-map | 469 | — | ~633 | Automated safety check: Pass | MIT | |
| Google Maps Travel Planningcablate/mcp-google-map | 469 | — | ~710 | Automated safety check: Pass | MIT | |
| Maps Intelligence for Local SEOAgriciDaniel/claude-seo | 19k | 1 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Local SEO Manageralirezarezvani/claude-skills | 28k | — | ~3.3k | Automated safety check: Pass | MIT |
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Maps Intelligence for Local SEO
AgriciDaniel/claude-seo
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Related
Works with
Categories
Questions about Dataforseo Tool
What does Dataforseo Tool do?
When the user needs bulk SERP data, local pack data at scale, keyword volumes for hundreds of terms at once, Google Maps business data programmatically, or is building custom local SEO…. Dataforseo Tool is an agent skill from garrettjsmith/localseoskills. When the user needs bulk SERP data, local pack data at scale, keyword volumes for hundreds of terms at once, Google Maps business data programmatically, or is building custom local SEO tools/dashboards.
When should I use Dataforseo Tool?
Dataforseo Tool fits situations like: needs bulk SERP data; local pack data at scale; keyword volumes for hundreds of terms at once; google Maps business data programmatically.
How do I install Dataforseo Tool in Claude Code?
Run `npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a claude-code`. Or copy the skill folder (skills/dataforseo-tool in garrettjsmith/localseoskills) into .claude/skills/dataforseo-tool in your project. Claude Code loads it when a task matches its description.
How do I install Dataforseo Tool in Codex?
Run `npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a codex`. Or copy the skill folder (skills/dataforseo-tool in garrettjsmith/localseoskills) into .agents/skills/dataforseo-tool in your project. Codex loads it when a task matches its description.
Can I use Dataforseo Tool in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add garrettjsmith/localseoskills --skill dataforseo-tool -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataforseo-tool, .gemini/skills/dataforseo-tool, .github/skills/dataforseo-tool and .opencode/skills/dataforseo-tool in your project.
What does Dataforseo Tool need to run?
SKILL.md names no scripts, command-line tools or credentials: Dataforseo Tool is instructions for the agent only.
Does Dataforseo Tool access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Dataforseo Tool safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Dataforseo Tool use?
Dataforseo Tool is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dataforseo Tool use?
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Dataforseo Tool?
Skills that share tags, products or a category with Dataforseo Tool: Google Maps (cablate/mcp-google-map, 469 stars), Google Maps Local SEO (cablate/mcp-google-map, 469 stars), Google Maps Travel Planning (cablate/mcp-google-map, 469 stars) and Maps Intelligence for Local SEO (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dataforseo Tool?
garrettjsmith (a GitHub user) maintains it in garrettjsmith/localseoskills, which has 120 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on August 15, 2026.
Source: garrettjsmith/localseoskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.