/ahrefs-research

name: ahrefs-python
description: Manages Ahrefs API usage in Python using `ahrefs-python` library. Use when working with SEO / marketing related tasks or with data including backlinks, keywords, domain ratings, organic traffic, site audits, rank tracking, and brand monitoring. Covers `ahrefs-python` usage including AhrefsClient / AsyncAhrefsClient, typed request/response models, error handling, and all API sections.

Ahrefs Python SDK Skill

Overview

The Ahrefs API provides programmatic access to Ahrefs SEO data. The official Python SDK (`ahrefs-python`) provides typed request and response models for all endpoints, auto-generated from the OpenAPI spec.

Key capabilities:

• **Site Explorer** - Backlinks, organic keywords, domain rating, traffic, referring domains
• **Keywords Explorer** - Keyword research, volumes, difficulty, related terms
• **Rank Tracker** - SERP monitoring, competitor tracking
• **Site Audit** - Technical SEO issues, page content, page explorer
• **Brand Radar** - AI brand mentions, share of voice, impressions
• **SERP Overview** - Search result analysis
• **Batch Analysis** - Bulk domain/URL metrics via POST

Installation

pip3 install git+https://github.com/ahrefs/ahrefs-python.git

Requires Python 3.11+. Dependencies: `httpx`, `pydantic`.

API Method Discovery

The SDK has 52 methods across 7 API sections. The built-in search tool is the fastest way to find the right method — it returns matching method signatures, parameters, and return types directly, so there's no need to scan through a large reference.

**Python** (preferred when already in a Python context):

from ahrefs.search import search_api_methods

# Returns formatted text with method signatures, parameters, and return types
print(search_api_methods("domain rating"))

# Filter by API section and limit results
print(search_api_methods("backlinks", section="site-explorer", limit=3))

**CLI** (preferred when exploring from the terminal):

# Ensure python3 points to the interpreter where ahrefs-python is installed:
#   which python3
#   python3 -c "import ahrefs"
python3 -m ahrefs.api_search "domain rating"
python3 -m ahrefs.api_search "backlinks" --section site-explorer --limit 3
python3 -m ahrefs.api_search "batch" --json
python3 -m ahrefs.api_search --sections  # list all API sections

IMPORTANT RULES

• ALWAYS use the `ahrefs-python` SDK. DO NOT make raw `httpx`/`requests` calls to the Ahrefs API.
• ALWAYS pass dates as strings in `YYYY-MM-DD` format (e.g. `"2025-01-15"`).
• ALWAYS use `select` on list endpoints to request only the columns you need. List endpoints return all columns by default, which wastes API units and increases response size.
• USE context managers (`with` / `async with`) for client lifecycle management.
• NEVER hardcode API keys in source code. Use the `AHREFS_API_KEY` environment variable or your preferred secrets mechanism.
• The client handles retries (429, 5xx, connection errors) automatically. DO NOT implement your own retry logic on top of the SDK.

Quick Start

import os
from ahrefs import AhrefsClient

with AhrefsClient(api_key=os.environ["AHREFS_API_KEY"]) as client:
    data = client.site_explorer_domain_rating(target="ahrefs.com", date="2025-01-15")
    print(data.domain_rating)  # 91.0
    print(data.ahrefs_rank)    # 3

SDK Patterns

Client Setup

import os
import ahrefs

with ahrefs.AhrefsClient(
    api_key=os.environ["AHREFS_API_KEY"],  # or any secrets source
    base_url="...",          # override API base URL (default: https://api.ahrefs.com/v3)
    timeout=30.0,            # request timeout in seconds (default: 60)
    max_retries=3,           # retries on transient errors (default: 2)
) as client:
    ...

Async client:

import os
from ahrefs import AsyncAhrefsClient

async with AsyncAhrefsClient(api_key=os.environ["AHREFS_API_KEY"]) as client:
    data = await client.site_explorer_domain_rating(target="ahrefs.com", date="2025-01-15")

For parallel calls, use `asyncio.gather`:

import asyncio

async with AsyncAhrefsClient(api_key=os.environ["AHREFS_API_KEY"]) as client:
    dr_ahrefs, dr_moz = await asyncio.gather(
        client.site_explorer_domain_rating(target="ahrefs.com", date="2025-01-15"),
        client.site_explorer_domain_rating(target="moz.com", date="2025-01-15"),
    )

Calling Methods

Two calling styles -- both are equivalent:

# Keyword arguments (recommended)
data = client.site_explorer_domain_rating(target="ahrefs.com", date="2025-01-15")

# Request objects (full type safety)
from ahrefs.types import SiteExplorerDomainRatingRequest
request = SiteExplorerDomainRatingRequest(target="ahrefs.com", date="2025-01-15")
data = client.site_explorer_domain_rating(request)

Method names follow `{api_section}_{endpoint}`, e.g. `site_explorer_organic_keywords`, `keywords_explorer_overview`.

Responses

Methods return typed Data objects directly.

**Scalar endpoints** return a single data object (or `None`):

data = client.site_explorer_domain_rating(target="ahrefs.com", date="2025-01-15")
print(data.domain_rating)

**List endpoints** return a list of data objects. There is no pagination — set `limit` to the number of results you need. Use `select` to request only the columns you need:

items = client.site_explorer_organic_keywords(
    target="ahrefs.com",
    date="2025-01-15",
    select="keyword,volume,best_position",
    order_by="volume:desc",
    limit=10,
)
for item in items:
    print(item.keyword, item.volume, item.best_position)

Error Handling

import ahrefs

try:
    data = client.site_explorer_domain_rating(target="example.com", date="2025-01-15")
except ahrefs.AuthenticationError:    # 401
    ...
except ahrefs.RateLimitError as e:    # 429 -- e.retry_after has the delay
    ...
except ahrefs.NotFoundError:          # 404
    ...
except ahrefs.APIError as e: