Website Traffic Report - Structured Analytics Data Extractor

Extract comprehensive, well-organized website analytics from any domain. Get rankings, traffic trends, engagement metrics, audience geography, and traffic sources - all structured into clear, actionable sections. Perfect for competitor analysis, market research, SEO strategy, and business intelligence.

Features

Structured Report Sections

Section	Data Points	Description
Rankings	Global Rank, Country Rank, Category Rank	See where any website stands globally and in specific markets
Traffic	Monthly Visits, 3-Month History, Trends	Track traffic volume and growth momentum
Engagement	Bounce Rate, Pages/Visit, Avg Duration	Understand user quality and behavior patterns
Audience	Top Countries, Traffic Shares	Identify primary markets and geographic distribution
Acquisition	Search, Direct, Social, Referral, Mail, Paid	Discover how visitors find the website

Key Capabilities

• Bulk Analysis: Analyze multiple domains in one run
• Clean Structure: Data organized into logical, easy-to-parse sections
• Trend Analysis: Month-over-month and 3-month growth metrics
• Primary Source Detection: Automatically identifies dominant traffic channel
• Auto-Cleaning: Accepts URLs or domains, automatically normalizes input

Use Cases

Use Case	What You Get	Business Value
Competitor Analysis	Traffic volume, sources, engagement, rankings	Benchmark performance and identify competitive gaps
Market Research	Industry rankings, geographic distribution, trends	Understand market size and regional opportunities
SEO Strategy	Search traffic share, traffic trends, engagement	Evaluate organic performance and content effectiveness
Business Intelligence	All metrics in structured format	Data-driven decisions for marketing and growth
Investment Research	Traffic trends, market position, audience insights	Evaluate digital assets and online businesses
Lead Generation	Geographic data, traffic sources	Build targeted outreach based on audience insights

Quick Start

Basic Run

{
  "domains": ["google.com", "amazon.com", "facebook.com"]
}

Input Format

Enter domains in any format - the actor automatically normalizes them:

Input Format	Cleaned Output
https://www.example.com	example.com
http://example.com/page	example.com
www.example.com	example.com
example.com	example.com

Run & Export

1. Enter domains to analyze
2. Click "Start"
3. View results in the organized table view
4. Export to JSON, CSV, Excel, or HTML

Input Parameters

Parameter	Type	Required	Description
domains	Array[String]	Yes	Website domains or URLs to analyze

Input Validation

• Accepts full URLs or domain names
• Auto-removes http://, https://, www.
• Validates domain format
• Invalid domains return error messages (not skipped)

Output Data

Each domain returns a structured traffic report with five sections.

Rankings

Competitive positioning metrics.

{
  "rankings": {
    "global": 12345,
    "country": {
      "code": "US",
      "rank": 5432
    },
    "category": {
      "name": "Internet_and_Telecom/Social_Network",
      "rank": 123
    }
  }
}

Field	Type	Description
global	int	Worldwide traffic rank
country.code	string	Primary country code
country.rank	int	Rank within primary country
category.name	string	Website category
category.rank	int	Rank within category

Traffic

Volume and momentum metrics.

{
  "traffic": {
    "monthly_visits": 1300000000,
    "months": [
      {"month": "2024-10", "visits": 1200000000},
      {"month": "2024-11", "visits": 1250000000},
      {"month": "2024-12", "visits": 1300000000}
    ],
    "trends": [
      {"period": "previous_month", "change_percent": 4.0},
      {"period": "last_three_months", "change_percent": 8.33}
    ]
  }
}

Field	Type	Description
monthly_visits	int	Most recent month's total visits
months	array	Last 3 months with visit counts (chronological)
trends	array	Growth percentages for different periods

Trend Periods:

• previous_month - Change from second-to-last to last month
• last_three_months - Change from first to last month

Engagement

User quality signals.

{
  "engagement": {
    "bounce_rate": 0.4523,
    "pages_per_visit": 5.23,
    "avg_duration_seconds": 245.67
  }
}

Field	Type	Description
bounce_rate	float	Bounce rate (0-1 scale)
pages_per_visit	float	Average pages viewed per visit
avg_duration_seconds	float	Average visit duration in seconds

Audience

Geographic distribution.

{
  "audience": {
    "top_countries": [
      {"code": "US", "share": 0.35},
      {"code": "GB", "share": 0.08},
      {"code": "DE", "share": 0.06}
    ]
  }
}

Field	Type	Description
top_countries	array	Countries ranked by traffic share
top_countries[].code	string	Country code (ISO 3166-1 alpha-2)
top_countries[].share	float	Traffic share (0-1 scale)

Acquisition

Traffic channel performance.

{
  "acquisition": {
    "sources": {
      "search": 0.45,
      "direct": 0.37,
      "referrals": 0.10,
      "social": 0.05,
      "paid_referrals": 0.02,
      "mail": 0.01
    },
    "primary_source": "search"
  }
}

Field	Type	Description
sources	object	All traffic sources with their shares (0-1 scale)
primary_source	string	Source with highest share

Traffic Source Types:

• direct - Direct visits (typed URL, bookmarks)
• search - Organic search traffic
• social - Social media platforms
• referrals - Links from other websites
• paid_referrals - Paid advertising traffic
• mail - Email marketing traffic

Complete Output Example

{
  "domain": "example.com",
  "rankings": {
    "global": 12345,
    "country": {"code": "US", "rank": 5432},
    "category": {"name": "Business", "rank": 123}
  },
  "traffic": {
    "monthly_visits": 5000000,
    "months": [
      {"month": "2024-10", "visits": 4800000},
      {"month": "2024-11", "visits": 4900000},
      {"month": "2024-12", "visits": 5000000}
    ],
    "trends": [
      {"period": "previous_month", "change_percent": 2.04},
      {"period": "last_three_months", "change_percent": 4.17}
    ]
  },
  "engagement": {
    "bounce_rate": 0.42,
    "pages_per_visit": 4.5,
    "avg_duration_seconds": 180
  },
  "audience": {
    "top_countries": [
      {"code": "US", "share": 0.45},
      {"code": "GB", "share": 0.12}
    ]
  },
  "acquisition": {
    "sources": {
      "search": 0.40,
      "direct": 0.35,
      "social": 0.15,
      "referrals": 0.08,
      "mail": 0.02,
      "paid_referrals": 0.00
    },
    "primary_source": "search"
  },
  "error": null
}

Error Output

When a domain cannot be analyzed:

{
  "domain": "invalid-domain.xyz",
  "error": "HTTP 404"
}

Pricing: Pay As You Go

This actor uses Apify's pay-per-event billing model for cost-effective, usage-based pricing.

Event	Cost	Description
domain	$3.49 / 1,000	Charged per successfully analyzed domain

Volume Discounts

Tier	Price per 1,000
Base	$3.49
Bronze	$3.40
Silver	$3.20
Gold	$3.00

Key billing details:

• Only successful results are charged: Failed domains (404, no data) are free
• No minimum commitment: Pay only for what you use
• Budget controls: Set spending limits in your Apify account

The Actor start is always charged at $0.25/1k starts.

Dataset Views

The actor provides an organized table view for easy data analysis:

Overview

Quick snapshot of all key metrics:

• Domain
• Rankings (global, country, category)
• Traffic (monthly visits, trends)
• Engagement (bounce rate, pages/visit, duration)

FAQ

How accurate is the data?

The data comes from SimilarWeb's analytics platform, which uses direct measurement, data modeling, and machine learning. It's industry-standard for competitive intelligence.

Why do some domains show errors?

This can happen if:

• The domain is very new or has minimal traffic
• The domain doesn't exist or is misspelled

What do the share values mean?

Share values are decimals from 0 to 1:

• 0.45 = 45%
• 0.08 = 8%

Can I analyze my own website?

Yes! This is useful for:

• Verifying your analytics data
• Understanding your traffic sources
• Benchmarking against competitors
• Tracking growth trends

How current is the data?

The data typically reflects the most recent complete month. The traffic.months array shows exactly which months are included.

What's the difference between this and the SimilarWeb Scraper actor?

Feature	Website Traffic Report	SimilarWeb Scraper
Data Structure	Organized sections	Flat data fields
Trend Analysis	Month-over-month trends	Raw monthly data
Primary Source	Automatically identified	Manual analysis needed
Best For	Quick insights, reporting	Raw data, custom analysis

How many domains can I analyze?

There's no hard limit per run. Domains are processed in parallel batches for efficiency. Expect longer execution time with more domains.

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Transform website data into actionable insights. Get structured, organized analytics that's ready for analysis and reporting.