MarketingSEO

Ahrefs Python

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…

OOpenClaudia·Marketing·MIT

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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

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:          # other 4xx/5xx -- e.status_code, e.response_body
    ...
except ahrefs.APIConnectionError:     # network / timeout
    ...

All exceptions inherit from ahrefs.AhrefsError.

Common Parameters

Most list endpoints share these parameters:

Parameter Type Description
target str Domain, URL, or path to analyze
date str Date in YYYY-MM-DD format
date_from / date_to str Date range for history endpoints
country str Two-letter country code (ISO 3166-1 alpha-2)
select str Comma-separated columns to return
where str Filter expression
order_by str Column and direction, e.g. "volume:desc"
limit int Max results to return

Parameters typed as enums in the API reference (CountryEnum, VolumeModeEnum, etc.) accept plain strings — pass country="us" not CountryEnum("us").

The where parameter takes a JSON string. Use json.dumps() to build it:

import json
where = json.dumps({"field": "volume", "is": ["gte", 1000]})
items = client.site_explorer_organic_keywords(
    target="ahrefs.com", date="2025-01-15",
    select="keyword,volume", where=where,
)

For full filter syntax (boolean combinators, operators, nested fields), see references/filter-syntax.md.

API Methods

Use search_api_methods("query") or python3 -m ahrefs.api_search "query" to find methods by keyword. Search covers all 52 methods across 7 API sections and returns complete signatures, parameters, and response fields.