Similarweb Scraper avatar

Similarweb Scraper

Pricing

from $4.87 / 1,000 website analyzeds

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Similarweb Scraper

Similarweb Scraper

Scrape website traffic data from Similarweb. Get monthly visits, traffic sources, top keywords, global rankings, and audience insights for any domain.

Pricing

from $4.87 / 1,000 website analyzeds

Rating

0.0

(0)

Developer

NanoScrape

NanoScrape

Maintained by Community

Actor stats

0

Bookmarked

21

Total users

4

Monthly active users

4 days ago

Last modified

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Scrape website traffic analytics from Similarweb. Get monthly visits, traffic sources, top keywords, global rankings, and audience insights for any domain.

What data do you get?

For each domain, the scraper returns:

  • Rankings: Global rank, country rank, category rank
  • Traffic: Total visits, bounce rate, pages per visit, average visit duration
  • Monthly visits: Latest snapshot month visits and month-over-month change
  • Traffic sources: Direct, search, social, referrals, mail, paid referrals (top channel only on the free page)
  • Top countries: Top 5 countries by traffic share
  • Top keywords: Top 5 organic keywords with CPC (volume is not public)
  • Competitors: Similar websites identified by Similarweb
  • Audience and company: Gender/age split and firmographics when shown
  • Metadata: Site title, description, category, screenshot URL

Use with AI Agents (MCP)

Connect this actor to any MCP-compatible AI client — Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents.

Apify MCP server URL:

https://mcp.apify.com?tools=santamaria-automations/similarweb-scraper

Example prompt once connected:

"Use similarweb-scraper to scrape company data from similarweb. Return results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) will receive the full input schema automatically via add-actor.

Input

You can provide domains in two ways:

Option 1: Domain names

{
"domains": ["amazon.com", "github.com", "netflix.com"]
}

Option 2: Similarweb URLs

{
"urls": ["https://www.similarweb.com/website/amazon.com/"]
}

Full input example

{
"domains": ["amazon.com", "github.com"],
"urls": ["https://www.similarweb.com/website/netflix.com/"],
"maxResults": 50
}

Output example

{
"domain": "amazon.com",
"global_rank": 9,
"country_rank": 4,
"country": "United States",
"country_code": "US",
"category_rank": 1,
"category": "e-commerce and shopping > marketplace",
"total_visits": 2555045157,
"visits_change": -0.0721,
"bounce_rate": "30.86%",
"pages_per_visit": "8.95",
"avg_visit_duration": "00:05:45",
"monthly_visits": [{ "date": "2026-09", "visits": 2555045157 }],
"traffic_sources": { "direct": 0.5431, "search": null, "social": null, "referrals": null, "mail": null, "paid_referrals": null },
"top_countries": [{ "country_code": "US", "country": "United States", "share": 0.8484 }],
"top_keywords": [{ "keyword": "amazon", "estimated_value": null, "volume": null, "cpc": 0.25 }],
"competitors": ["ebay.com", "walmart.com"],
"demographics": { "male": 0.494, "female": 0.506, "age_distribution": [{ "min_age": 25, "max_age": 34, "share": 0.2532 }] },
"company": { "name": "Amazon.com, Inc.", "year_founded": 1994, "hq_city": "Seattle", "hq_country_code": "US" },
"source_url": "https://www.similarweb.com/website/amazon.com/",
"source_platform": "similarweb.com"
}

Performance

  • Memory: 128 MB (Go binary, no browser needed)
  • Speed: ~2 seconds per domain
  • Cost: Very low compute usage (~0.001 CU per domain)

Pricing

EventPrice
website-result$0.005 per domain

Notes

  • Data availability depends on the domain's traffic. Very small or new websites may not have data.
  • Similarweb provides estimated traffic data, not exact numbers.
  • Data comes from the free public Similarweb website page. Fields Similarweb locks behind a paid plan (most traffic-source channels beyond the top one, keyword volume, referral site names, monthly history) are returned as null or omitted.
  • The scraper includes a 1-second delay between requests to avoid rate limiting.

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Issues & Feature Requests

If something is not working or you're missing a feature or data field, please open an issue and we'll look into it.