dataforseo-client
DataForSEO API documentation
Decision gist · record as of 2026-08-14
Yes, if you need to integrate DataForSEO's SEO and business intelligence APIs into a Python application. Install friction is low, maintenance is active, and there are no known vulnerabilities. However, resolve the unclear license status before use in commercial or copyleft-sensitive contexts, and ensure you have valid DataForSEO API credentials and understand their rate limits.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires DataForSEO API credentials (username and password) to authenticate; API calls are subject to DataForSEO's rate limits and service availability.
- Low install friction with four lightweight runtime dependencies (urllib3, python-dateutil, pydantic, typing-extensions).
- Package is actively maintained with a release 3 days old and recent commits.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is declared in the package metadata. Before relying on this package in a commercial or copyleft-sensitive project, verify the actual license from the GitHub repository.
last release 2026-08-11 (3 days) · last repo commit 2026-08-11 · 47 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 101,340 downloads/mo, #12,945 on PyPI
Alternatives
Verify before relying
from dataforseo_client import configuration, api_client
from dataforseo_client.api.serp_api import SerpApi
from dataforseo_client.models.serp_google_organic_live_advanced_request_info import SerpGoogleOrganicLiveAdvancedRequestInfo
config = configuration.Configuration(username='USERNAME', password='PASSWORD')
with api_client.ApiClient(config) as client:
api = SerpApi(client)
response = api.google_organic_live_advanced([SerpGoogleOrganicLiveAdvancedRequestInfo(
language_name="English",
location_name="United States",
keyword="example"
)])- Minimum Python version requirement is not specified in the fact sheet.
- Whether the package supports async/await patterns for concurrent requests beyond the task-based polling shown in examples.
- Scope and limitations of the 12 API sections (e.g., which require task-based vs. live requests, rate limits per section).
What it is and what it does
dataforseo-client is an auto-generated Python wrapper around the DataForSEO REST API, eliminating the need to manually construct HTTP requests and parse responses. It provides typed access to 12 API sections covering search engine results pages (SERP), keyword research, domain analytics, backlinks, on-page analysis, and several other SEO and business intelligence tools. The client abstracts two request patterns: synchronous live requests (simple HTTP request/response) and asynchronous task-based requests (submit a task, poll for readiness, retrieve results).
The library depends on urllib3 for HTTP transport, python-dateutil for timestamp handling, pydantic for data validation, and typing-extensions for type hints. It is actively maintained, with recent releases and no known security vulnerabilities. The package is generated from an OpenAPI specification, meaning its API surface is large and closely mirrors the upstream DataForSEO service documentation.
Use it for
- Retrieve live SERP rankings for a keyword in a specific location and language without building raw HTTP requests.
- Submit long-running domain analytics or backlink analysis tasks and poll for completion in a structured way.
- Integrate SEO data collection into a Python application without manually handling authentication, request serialization, or response parsing.
- Analyze on-page content metrics and merchant data using typed request/response objects that validate input before sending.
- Build a monitoring or reporting tool that queries multiple DataForSEO APIs (keywords, domain analytics, business data) in a single codebase.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to integrate DataForSEO's SEO and business intelligence APIs into a Python application.
Install friction is low, maintenance is active, and there are no known vulnerabilities. However, resolve the unclear license status before use in commercial or copyleft-sensitive contexts, and ensure you have valid DataForSEO API credentials and understand their rate limits.
Install
dataforseo-client on PyPI
Before you install
Low install friction with four lightweight runtime dependencies (urllib3, python-dateutil, pydantic, typing-extensions). Package is actively maintained with a release 3 days old and recent commits.
Requires DataForSEO API credentials (username and password) to authenticate; API calls are subject to DataForSEO's rate limits and service availability.
License in practice
License treatment is unclear—no SPDX identifier or raw license text is declared in the package metadata. Before relying on this package in a commercial or copyleft-sensitive project, verify the actual license from the GitHub repository.
Quickstart
from dataforseo_client import configuration, api_client
from dataforseo_client.api.serp_api import SerpApi
from dataforseo_client.models.serp_google_organic_live_advanced_request_info import SerpGoogleOrganicLiveAdvancedRequestInfo
config = configuration.Configuration(username='USERNAME', password='PASSWORD')
with api_client.ApiClient(config) as client:
api = SerpApi(client)
response = api.google_organic_live_advanced([SerpGoogleOrganicLiveAdvancedRequestInfo(
language_name="English",
location_name="United States",
keyword="example"
)])Verify before relying
- Minimum Python version requirement is not specified in the fact sheet.
- Whether the package supports async/await patterns for concurrent requests beyond the task-based polling shown in examples.
- Scope and limitations of the 12 API sections (e.g., which require task-based vs. live requests, rate limits per section).
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesurllib3python-dateutilpydantictyping-extensions |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 101,340 / month, #12,945 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dataforseo_client-2.1.3-py3-none-any.whl
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