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nikhilbhansalinikhilbhansali/dataforseo-skill-claude/dataforseo/SKILL.md

dataforseo

Skill63 starsChanged 10 months agoMITView on GitHub

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.

2 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions2 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 2

    1. alinaqi/maggy★ 711same name
    2. alinaqi/claude-bootstrap★ 708same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 2 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before first use, set up credentials:

    line 12
  2. Distinctive:

    Import client: Add skill path and import functions

    line 73
  3. Very specific:

    Extract results: Use extract_results(response)

    line 75
  4. Very specific:

    Export to CSV: Use to_csv(results, "filename")

    line 76
  5. Very specific:

    All results export to CSV at ~/dataforseo_outputs/.

    line 107
  6. Very specific:

    Check usage with get_user_data()

    line 129

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

DataForSEO API Skill

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

Credential Setup

Before first use, set up credentials:

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

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")
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

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"]

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