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
- alinaqi/claude-bootstraptheir own version, first seen Oct 8, 2026
- alinaqi/maggytheir own version, first seen Jun 12, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- alinaqi/maggy★ 711same name
- 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
- Distinctive: line 12
Before first use, set up credentials:
- Distinctive: line 73
Import client: Add skill path and import functions
- Very specific: line 75
Extract results: Use extract_results(response)
- Very specific: line 76
Export to CSV: Use to_csv(results, "filename")
- Very specific: line 107
All results export to CSV at ~/dataforseo_outputs/.
- Very specific: line 129
Check usage with get_user_data()
≈ “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.
Files
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 Request | Function to Use |
| Search volume, CPC, competition | keywords_search_volume() |
| Keyword ideas/suggestions | labs_keyword_ideas() or labs_related_keywords() |
| Keywords a site ranks for | labs_ranked_keywords() |
| SERP results for keyword | serp_google_organic() |
| Local/Maps rankings | serp_google_maps() |
| YouTube rankings | serp_youtube() |
| Backlink profile | backlinks_summary() |
| List of backlinks | backlinks_list() |
| Referring domains | backlinks_referring_domains() |
| Domain authority/rank | backlinks_bulk_ranks() |
| Competing domains | labs_competitors_domain() |
| Keyword gap analysis | labs_domain_intersection() |
| Link gap analysis | backlinks_domain_intersection() |
| Technical page audit | onpage_instant_pages() |
| Lighthouse scores | lighthouse_live() |
| Technology stack | domain_technologies() |
| Brand mentions | content_search() |
| Google Trends | google_trends() |
Core Workflow
- Import client: Add skill path and import functions
- Call API function: Pass required parameters
- Extract results: Use
extract_results(response) - 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
costfield
Important Notes
- Async endpoints: Some APIs (merchant, app_data, business reviews) create tasks. Check task status separately.
- Limits: Increase
limitparameter for comprehensive data (default 100, max usually 1000) - Multiple keywords: Pass as list:
keywords=["kw1", "kw2", "kw3"]
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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