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Dataforseo

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nikhilbhansali
dataforseo

Complete DataForSEO API integration for SEO data and analysis. Use when the user asks for keyword research, search volume, SERP analysis, backlink audits, competitor analysis, rank tracking, domain authority, technical SEO audits, content monitoring, Google Trends, or any SEO-related data queries. Covers all DataForSEO APIs including SERP, Keywords Data, DataForSEO Labs, Backlinks, OnPage, Domain Analytics, Content Analysis, Business Data, Merchant, App Data, and AI Optimization APIs. Outputs CSV files.

Overview

Publishernikhilbhansali
Repositorydataforseo-skill-claude
Skill namedataforseo
Stars
69
Forks
6
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Dataforseo 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/nikhilbhansali/dataforseo-skill-claude/tree/master/dataforseo
  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/nikhilbhansali/dataforseo-skill-claude.git /tmp/dataforseo-skill-claude
mkdir -p .claude/skills
cp -r /tmp/dataforseo-skill-claude/dataforseo .claude/skills/dataforseo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dataforseo 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 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 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 API Skill

Universal interface to all DataForSEO APIs for comprehensive SEO data retrieval and analysis.

Credential Setup

Before first use, set up credentials:

python
import sys, os
sys.path.insert(0, os.path.expanduser('~/.agents/skills/dataforseo/scripts'))
from dataforseo_client import save_credentials, verify_credentials

# Get credentials from https://app.dataforseo.com/
login = "your_email@example.com"  # API login (email)
password = "your_api_password"    # API password (from dashboard)

# Verify and save
if verify_credentials(login, password):
    save_credentials(login, password)
    print("Credentials saved!")

Credentials stored at ~/.dataforseo_config.json. To update, run setup again.

Quick Start

python
import sys, os
sys.path.insert(0, os.path.expanduser('~/.agents/skills/dataforseo/scripts'))
from dataforseo_client import *

# Example: Get search volume
response = keywords_search_volume(
    keywords=["seo tools", "keyword research"],
    location_name="United States"
)
results = extract_results(response)
csv_path = to_csv(results, "keyword_volumes")
print(f"Results saved to: {csv_path}")

API Selection Guide

User RequestFunction to Use
Search volume, CPC, competitionkeywords_search_volume()
Keyword ideas/suggestionslabs_keyword_ideas() or labs_related_keywords()
Keywords a site ranks forlabs_ranked_keywords()
SERP results for keywordserp_google_organic()
Local/Maps rankingsserp_google_maps()
YouTube rankingsserp_youtube()
Backlink profilebacklinks_summary()
List of backlinksbacklinks_list()
Referring domainsbacklinks_referring_domains()
Domain authority/rankbacklinks_bulk_ranks()
Competing domainslabs_competitors_domain()
Keyword gap analysislabs_domain_intersection()
Link gap analysisbacklinks_domain_intersection()
Technical page auditonpage_instant_pages()
Lighthouse scoreslighthouse_live()
Technology stackdomain_technologies()
Brand mentionscontent_search()
Google Trendsgoogle_trends()

Core Workflow

  1. Import client: Add skill path and import functions
  2. Call API function: Pass required parameters
  3. Extract results: Use extract_results(response)
  4. Export to CSV: Use to_csv(results, "filename")
python
import sys, os
sys.path.insert(0, os.path.expanduser('~/.agents/skills/dataforseo/scripts'))
from dataforseo_client import labs_ranked_keywords, extract_results, to_csv

response = labs_ranked_keywords(
    target="competitor.com",
    location_name="United States",
    language_name="English",
    limit=500
)
results = extract_results(response)
csv_path = to_csv(results, "ranked_keywords")

Default Parameters

Most functions use these defaults:

  • location_name: "United States" (override with "India", "United Kingdom", etc.)
  • language_name: "English"
  • limit: 100 (increase up to 1000 for more results)
  • device: "desktop" (or "mobile" for SERP)

Common Location Names

  • United States, United Kingdom, India, Germany, Australia, Canada
  • For city-level: "New York,New York,United States", "London,England,United Kingdom"

Output

All results export to CSV at ~/dataforseo_outputs/. Files auto-named with timestamp if not specified.

Reference Files

  • API Reference: references/api_reference.md - Complete endpoint documentation
  • Use Cases: references/use_cases.md - Ready-to-use code recipes

Error Handling

python
response = some_api_function(...)
if response.get("status_code") == 20000:
    results = extract_results(response)
    # Process results
else:
    print(f"Error: {response.get('status_message')}")

Rate Limits & Costs

  • 2000 requests/minute max
  • Live methods cost more than Standard
  • Check usage with get_user_data()
  • Response includes cost field

Important Notes

  1. Async endpoints: Some APIs (merchant, app_data, business reviews) create tasks. Check task status separately.
  2. Limits: Increase limit parameter for comprehensive data (default 100, max usually 1000)
  3. Multiple keywords: Pass as list: keywords=["kw1", "kw2", "kw3"]

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dataforseo AI skill do?

Complete DataForSEO API integration for SEO data and analysis. Use when the user asks for keyword research, search volume, SERP analysis, backlink audits, competitor analysis, rank tracking, domain authority, technical SEO audits, content monitoring, Google Trends, or any SEO-related data queries. Covers all DataForSEO APIs including SERP, Keywords Data, DataForSEO Labs, Backlinks, OnPage, Domain Analytics, Content Analysis, Business Data, Merchant, App Data, and AI Optimization APIs. Outputs CSV files.

Why use Dataforseo on TypingMind?

Because you install it once and use it with any model. Dataforseo 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nikhilbhansali/dataforseo-skill-claude/tree/master/dataforseo. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dataforseo?

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?

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

Is the Dataforseo AI skill free?

Yes. It is published on GitHub by nikhilbhansali 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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