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URL: https://apify.com/canadesk/spyfu-ppe

⇱ Spyfu Β· Apify


Pricing

Pay per event

Go to Apify Store

Extract competitors, keywords, ads, and domain statistics from Spyfu (public website).

Pricing

Pay per event

Rating

0.0

(0)

Developer

πŸ‘ Canadesk Support

Canadesk Support

Maintained by Community

Actor stats

0

Bookmarked

30

Total users

3

Monthly active users

6 months ago

Last modified

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SpyFu Scraper (PPE)

A robust scraper for SpyFu using the Pay-Per-Event (PPE) pricing model. Extract competitors, keywords, ads, and domain statistics.

ℹ️ This is scraping SpyFu public website and will not provide you with data behind a paywall.

Features

  • Top Competitors: Get paid and organic competitors with overlap and traffic data.
  • Most Valuable Keywords: Extract high-value keywords for a domain.
  • Most Successful Keywords: Find keywords driving the most success.
  • Newly Ranked Keywords: Discover keywords that recently started ranking.
  • Top Ads: Scrape ad copy and history.
  • Domain Statistics: Get comprehensive domain performance metrics.

Pricing

This Actor uses the Pay-Per-Event model. You are charged only for the number of items successfully scraped.

Input Parameters

ParameterTypeDescription
urlStringThe domain URLs to analyze (comma-separated or new lines).
processStringThe operation to perform (e.g., tc for Top Competitors).
countryStringCountry code (e.g., US). Default: US.
proxyObjectProxy configuration. Apify Residential Proxy is recommended.

Output

Data is stored in the default dataset in JSON format.

Example: Top Competitors

{
"searchQuery":"apify.com",
"domain":"competitor.com",
"overlap":1234,
"commonTerms":567,
"organicTraffic":10000,
"paidTraffic":500,
"budget":1000.00,
"type":"organic"
}

Example: Keywords

{
"keyword":"web scraping",
"rank":1,
"searchVolume":5000,
"cpc":2.50,
"clicks":100,
"value":250.00
}

Notes

  • Proxies: This scraper is optimized for Apify Residential Proxies.
  • Limits: The actor is configured to retrieve up to 10,000 results per run to maximize data collection.

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