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Dataforseo Tool

Community
garrettjsmith
dataforseo-tool

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.

Overview

Publishergarrettjsmith
Repositorylocalseoskills
Skill namedataforseo-tool
Stars
140
Forks
27
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by garrettjsmith on GitHub. Read the source before you install it.

Installation

Install the Dataforseo Tool AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git /tmp/localseoskills
mkdir -p .claude/skills
cp -r /tmp/localseoskills/skills/dataforseo-tool .claude/skills/dataforseo-tool
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dataforseo Tool in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dataforseo Tool on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dataforseo Tool is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 NeedUse DataForSEOUse Instead
Keyword volume for 500+ terms at once✅ Best for bulkSemrush (for smaller batches)
SERP results for many keyword+location combos✅ Best for scaleSerpAPI (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 indexAhrefs (preferred)
Single keyword research❌ OverkillSemrush
Single SERP check❌ OverkillSerpAPI
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 list
  • keywords_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 pack
  • serp/google/maps/live — Google Maps results
  • serp/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)

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:

  1. Define grid of coordinates for the service area
  2. For each coordinate, run serp/google/maps/live with target keyword
  3. Parse results to find target business position at each point
  4. Aggregate into ARP/SoLV-style metrics
  5. 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 GotNext ActionSkill
Bulk keyword volumesGroup by service, map to pages, prioritize by volume × intentlocal-keyword-research
SERP data showing local pack presenceFocus GBP optimization on keywords with local packsgbp-optimization
Competitor GBP dataAnalyze category usage, review benchmarks, service coveragelocal-competitor-analysis
Competitor reviews extractedAnalyze for sentiment themes, common complaints/praisereview-management
Custom ranking dataInterpret using geogrid analysis frameworkgeogrid-analysis

Default next step: DataForSEO gives you raw data. Always pair it with an analysis skill to turn data into decisions.

Frequently asked questions

What does the Dataforseo Tool AI skill 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 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.

Why use Dataforseo Tool on TypingMind?

Because you install it once and use it with any model. Dataforseo Tool is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dataforseo Tool in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dataforseo Tool?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dataforseo Tool?

As many as you like. As long as a model supports skills, you can use Dataforseo Tool with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dataforseo Tool AI skill free?

Yes. It is published on GitHub by garrettjsmith under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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