dataforseo-tool

Extract bulk local SEO data from DataForSEO for keyword research and SERP monitoring.

71|14|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/garrettjsmith/localseoskills --skill dataforseo-tool
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dataforseo-tool
Source: https://github.com/garrettjsmith/localseoskills/tree/main/skills/dataforseo-tool
Command: npx skills add https://github.com/garrettjsmith/localseoskills --skill dataforseo-tool

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bulk local SEO data collection can be slow and manual; DataForSEO enables bulk retrieval of SERP results, local pack data, keyword volumes, and Google Maps business data for scalable analysis and automation.

Core Features & Use Cases

  • Bulk SERP Data: Retrieve full SERP results across hundreds of keywords and multiple locations.
  • Keyword Volume & Local Data: Access volume metrics and related local data for large term sets.
  • Google Maps Business Data: Programmatically fetch GBP details and reviews for market analysis.
  • Custom Pipelines: Build dashboards or pipelines that ingest and normalize the data into your analytics stack.

Quick Start

Submit a bulk list of keywords and locations to DataForSEO and ingest the resulting SERP, volume, and business data into your workflow.

Frequently Asked Questions about dataforseo-tool

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve bulk SERP data for hundreds of keywords across multiple locations?

Bulk SERP data extraction retrieves full search engine results pages across hundreds of keywords and multiple locations simultaneously. Submitting a bulk keyword and location list returns structured results for scalable analysis and automation.

Can I programmatically fetch Google Maps business data for market analysis?

Yes, Google Maps business data can be programmatically fetched in bulk, including Google Business Profile details and reviews. This supports large-scale market analysis by ingesting and normalizing business data into your analytics stack.

What is the best way to integrate keyword volume metrics into a data pipeline?

Integrating keyword volume metrics into a data pipeline requires bulk retrieval of volume data for large term sets. API integration and data normalization deliver structured volume metrics directly into your dashboards or analytics tools.

Does DataForSEO support MCP-based batch processing for local SEO data?

Yes, DataForSEO supports MCP-based batch processing to handle bulk local SEO data collection. This satisfies API integration and data normalization requirements, delivering structured results for hundreds or thousands of keywords efficiently.

How do I normalize local pack data from DataForSEO into my analytics stack?

Normalizing local pack data involves building custom pipelines that ingest API results and structure them for your analytics stack. This enables dashboards to process bulk SERP results, local pack data, and keyword volumes consistently.

When do I need bulk local SEO data collection instead of manual keyword research?

Bulk local SEO data collection is needed when you require hundreds or thousands of keywords, multiple locations, or large data exports. It replaces slow manual processes for agencies, SaaS tools, and dashboards requiring scalable analysis.