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49 · Marketing · SEO Analytics

Ahrefs Research Guidance

Use the original Ahrefs workflow for backlinks, keywords and competitor research.

ahrefsanalyseahrefs-research

Ahrefs SEO Intelligence · Original SKILL.md

---
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

```sh
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):

```python
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):

```sh
# 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

```python
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

```python
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:

```python
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`:

```python
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:

```python
# 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`):

```python
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:

```python
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

```python
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:

```python
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.

When to use

Use the original Ahrefs workflow for backlinks, keywords and competitor research.

What you get

The complete original workflow with source attribution and declared limitations.

How it works

Confirm inputs and dependencies, then apply relevant instructions within the actual authorized task.

Requirements

Authorized Ahrefs access, research goal, target market and API budget.

Delivery and review notes

Published as attributed source guidance after an obvious-danger screen, not functional certification. The ahrefs-python runtime, filter-syntax.md and api-methods.md are not supplied or tested. The original uses an unpinned Git installation; loading this text does not authorize installation. Choose a reviewed pinned dependency and verify actual signatures, retries, unit costs and credential handling for an execution task.

Starting prompt

Use Ahrefs Research Guidance for [TASK]. Ask for missing inputs: Authorized Ahrefs access, research goal, target market and API budget. Apply the M11 corrections and distinguish evidence, assumptions and unavailable tooling.

Not for

Claiming runtime validation, installing dependencies or taking external actions merely because the source describes them. Respect the actual task scope and declared limitations.

What M11 added

German discovery terms, task inputs and explicit source limitations. Original authorship remains separate from M11 curation. Published as attributed source guidance after an obvious-danger screen, not functional certification. The ahrefs-python runtime, filter-syntax.md and api-methods.md are not supplied or tested. The original uses an unpinned Git installation; loading this text does not authorize installation. Choose a reviewed pinned dependency and verify actual signatures, retries, unit costs and credential handling for an execution task.

Original authorship remains with OpenClaudia/openclaudia-skills · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 OpenClaudia

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: 9276e442b7311d4b928ca9b890e6be012e7e2edaf7d0e5cddab9518346707c93
Snapshot checked: 2026-09-28T15:32:21.716870+00:00

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