similarweb-analytics
Skill0 starsChanged 3 months agoMITView on GitHub
Analyze websites and domains using SimilarWeb traffic data. Get traffic metrics, engagement stats, global rankings, traffic sources, and geographic distribution for comprehensive website research. Apply automatically when the request matches; the user does not need to mention this skill.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Read the task-specific instructions in this file before acting.
- Very specific: line 33
All APIs use ApiClient from /opt/.manus/.sandbox-runtime.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Overview
Analyze websites and domains using SimilarWeb traffic data. Get traffic metrics, engagement stats, global rankings, traffic sources, and geographic distribution for comprehensive website research. Apply automatically when the request matches; the user does not need to mention this skill.
This skill should apply automatically when the request matches; the user does not need to mention this skill.
Workflow
- Read the task-specific instructions in this file before acting.
- Apply the documented constraints, resources, and verification steps.
- Confirm the result against the requested outcome before completion.
SimilarWeb Analytics
Comprehensive website and domain analysis using SimilarWeb traffic data.
Core Capabilities
- Traffic Analysis: Total visits, unique visitors, traffic trends
- Engagement Metrics: Bounce rate, pages per visit, average visit duration
- Global Ranking: Website ranking over time
- Traffic Sources: Marketing channels (desktop and mobile)
- Geographic Distribution: Traffic breakdown by country
API Usage
All APIs use ApiClient from /opt/.manus/.sandbox-runtime. Common parameters:
domain: Website domain (e.g., "google.com")start_date: Start date (YYYY-MM). Max 12 months agoend_date: End date (YYYY-MM). Max 12 months ago, default is 1 month ago (most recent complete month)main_domain_only: Exclude subdomains if True (default: False)
Default time ranges vary by API:
- Global Rank, Visits Total, Unique Visit, Bounce Rate: default 6 months
- Traffic Sources (Desktop/Mobile), Traffic by Country: default 3 months
Get Global Rank
import sys
sys.path.append('/opt/.manus/.sandbox-runtime')
from data_api import ApiClient
client = ApiClient()
result = client.call_api('SimilarWeb/get_global_rank', path_params={'domain': 'amazon.com'})Get Website Visits Total
import sys
sys.path.append('/opt/.manus/.sandbox-runtime')
from data_api import ApiClient
client = ApiClient()
result = client.call_api('SimilarWeb/get_visits_total',
path_params={'domain': 'amazon.com'},
query={'country': 'world', 'granularity': 'monthly', 'start_date': '2025-07', 'end_date': '2025-12'})Get Unique Visit
import sys
sys.path.append('/opt/.manus/.sandbox-runtime')
from data_api import ApiClient
client = ApiClient()
result = client.call_api('SimilarWeb/get_unique_visit',
path_params={'domain': 'amazon.com'},
query={'start_date': '2025-07', 'end_date': '2025-12'})Get Bounce Rate
import sys
sys.path.append('/opt/.manus/.sandbox-runtime')
from data_api import ApiClient
client = ApiClient()
result = client.call_api('SimilarWeb/get_bounce_rate',
path_params={'domain': 'amazon.com'},
query={'country': 'world', 'granularity': 'monthly', 'start_date': '2025-07', 'end_date': '2025-12'})Get Traffic Sources - Desktop
Returns breakdown by channel: Organic Search, Paid Search, Direct, Display Ads, Email, Referrals, Social Media.
import sys
sys.path.append('/opt/.manus/.sandbox-runtime')
from data_api import ApiClient
client = ApiClient()
result = client.call_api('SimilarWeb/get_traffic_sources_desktop',
path_params={'domain': 'amazon.com'},
query={'country': 'world', 'granularity': 'monthly', 'start_date': '2025-07', 'end_date': '2025-12'})Get Traffic Sources - Mobile
import sys
sys.path.append('/opt/.manus/.sandbox-runtime')
from data_api import ApiClient
client = ApiClient()
result = client.call_api('SimilarWeb/get_traffic_sources_mobile',
path_params={'domain': 'amazon.com'},
query={'country': 'world', 'granularity': 'monthly', 'start_date': '2025-07', 'end_date': '2025-12'})Get Total Traffic by Country
Returns traffic share, visits, pages per visit, average time, bounce rate and rank by country.
limit: Number of countries to return (default: 1, max: 10)- Date range limit: max 3 months (unlike other APIs)
import sys
sys.path.append('/opt/.manus/.sandbox-runtime')
from data_api import ApiClient
client = ApiClient()
result = client.call_api('SimilarWeb/get_total_traffic_by_country',
path_params={'domain': 'amazon.com'},
query={'start_date': '2025-10', 'end_date': '2025-12', 'limit': '10'})When to Use
Invoke APIs when users mention:
- Domain names: "google.com", "amazon.com"
- Traffic queries: "traffic", "visits", "visitors"
- Ranking queries: "rank", "ranking", "how popular"
- Engagement queries: "bounce rate", "engagement"
- Source queries: "traffic sources", "marketing channels"
- Geographic queries: "countries", "geographic"
- Comparison queries: "compare", "vs"
Data Limitations
- Historical data: max 12 months
- Geography: worldwide only
- Granularity: monthly only
- Latest data: last complete month
Important: Save Data to Files
API calls may fail mid-execution due to credit depletion. Always save all retrieved data to files immediately to avoid data loss and prevent redundant API calls.
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