SimilarWeb Analytics for Openclaw

A comprehensive domain analysis tool providing deep insights into traffic, engagement, and global rankings using SimilarWeb data.

wells1137
v1.0.0
Feb 25, 2026
0
515
3

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install similarweb-analytics

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install similarweb-analytics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is SimilarWeb Analytics?

SimilarWeb Analytics is a specialized tool integrated within Openclaw Skills that enables developers and analysts to perform high-fidelity domain research. It provides programmatic access to critical traffic data, including total visits, unique visitors, and global ranking trends. By leveraging this skill, users can bypass manual dashboard navigation and directly query marketing channel performance and geographic distribution for any public domain.

This skill is built for professional-grade market intelligence, offering up to 12 months of historical data. Whether you are conducting competitive analysis or auditing your own digital footprint, this skill provides the raw data necessary for data-driven decision making in the Openclaw Skills ecosystem.

SimilarWeb Analytics Use Cases

  • Competitive benchmarking to compare your domain performance against industry rivals.
  • Marketing channel auditing to identify whether traffic is driven by organic search, paid ads, or social media.
  • Geographic expansion research by analyzing traffic share and engagement metrics across different countries.
  • Engagement health checks using bounce rate and average visit duration to assess content quality.
  • Historical growth tracking to monitor the impact of long-term SEO and brand campaigns.

How SimilarWeb Analytics Works

  1. The skill identifies the target domain and the specific metric requested (e.g., rank, visits, or sources).
  2. It initializes the ApiClient located in the sandbox runtime environment to establish a secure connection.
  3. A structured API call is dispatched to SimilarWeb, optionally specifying date ranges and country filters.
  4. The skill processes the monthly granular data, handling both desktop and mobile traffic segments.
  5. To ensure reliability, the skill immediately saves the retrieved data to local files, preventing loss in case of credit depletion.

SimilarWeb Analytics Setup

To utilize SimilarWeb Analytics within Openclaw Skills, you must interface with the internal data API. Use the following setup in your Python environment:

# Ensure you are working within the Openclaw Skills sandbox environment
import sys
sys.path.append('/opt/.manus/.sandbox-runtime')
from data_api import ApiClient

client = ApiClient()
# You can now call various SimilarWeb endpoints using client.call_api()

SimilarWeb Analytics Data Schema & Taxonomy

The data returned by this skill is structured for easy parsing and integration into larger analytics pipelines. Key data points include:

Component Metrics Provided
Traffic Total visits, unique visitors, and monthly granularity
Engagement Bounce rate, pages per visit, and average duration
Ranking Global rank over time
Sources Organic Search, Paid Search, Direct, Email, Social, Referrals, Display Ads
Geography Country-specific traffic share, rank, and engagement stats

SimilarWeb Analytics Advanced Features

  • Dual-platform analysis providing separate breakdowns for desktop and mobile traffic sources.
  • Deep geographic insights with support for limiting top-country results to ensure focused data sets.
  • Flexible date range parameters allowing for custom start and end dates within a 12-month window.
  • Subdomain filtering capabilities to focus analysis on the main domain or include broader infrastructure.
  • Automated data persistence patterns optimized for the Openclaw Skills architecture to minimize redundant API calls.

SKILL.md


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