dataforseo

Retrieve real-time SERP data for keywords across Google, Bing, and YouTube.

2|1|Updated Jul 19, 2024
One-click install
npx skills add https://github.com/TeamDay-AI/agents --skill dataforseo-teamday-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dataforseo
Source: https://github.com/TeamDay-AI/agents/tree/main/skills/teamday/dataforseo
Command: npx skills add https://github.com/TeamDay-AI/agents --skill dataforseo-teamday-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retrieve real-time SERP data for specified keywords across Google, Bing, and YouTube to monitor rankings and features.

Core Features & Use Cases

  • Real-time cross-engine SERP: Retrieve organic, paid, features, local packs, and video results for a given keyword.
  • Flexible targeting: Supports location codes, language, and device settings to tailor results to regions.
  • Competitive analysis: Compare rankings across Google, Bing, and YouTube to identify opportunities and threats. Use case: Example keyword like "coffee shops" to benchmark local search performance across engines.

Quick Start

Run a live Google SERP for a target keyword in a specific location to see current results.

Frequently Asked Questions about dataforseo

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

FAQPage Schema
How do I retrieve live SERP data for keywords across Google, Bing, and YouTube?

You can retrieve live SERP data by specifying a target keyword along with configurable location codes, language, and device settings to pull real-time organic, paid, and local pack results across major search engines.

Can I check keyword rankings for specific regions and devices?

Yes, keyword ranking checks support flexible targeting through configurable location codes and language settings, allowing you to tailor SERP results to specific regions and devices.

What is the best way to compare SEO rankings across multiple search engines?

The best way to compare SEO rankings across engines is to run competitive analysis queries for the same keyword across Google, Bing, and YouTube to identify ranking opportunities and threats.

How does real-time SERP data help with competitive benchmarking?

Real-time SERP data helps with competitive benchmarking by retrieving current organic, paid, and video results to monitor competitor rankings and features across multiple regions.

What types of search results can I analyze using live SERP queries?

Using live SERP queries, you can analyze organic results, paid advertisements, search features, local packs, and video results for a given keyword across supported engines.