Nozzle

Overview

Nozzle is a specialized SEO platform focused on providing extensive keyword rank tracking and SERP data. Launched in 2017, the platform is engineered for users who require high-volume, granular data on search engine rankings, particularly for large keyword sets and competitive analysis. Its core offering revolves around tracking keyword positions across various search engines, devices, and geographic locations, including highly localized results.

The platform differentiates itself through its API-first approach, making it suitable for developers and technical SEO professionals who need to integrate rank tracking data directly into custom applications, dashboards, or reporting systems. This allows for automation of data retrieval and analysis, which can be critical for organizations managing vast portfolios of keywords or monitoring numerous competitors. Nozzle supports tracking for major search engines and provides detailed SERP features data, offering insights beyond just position numbers, such as featured snippets, local packs, and image carousels.

Nozzle is particularly suited for enterprises, agencies, and large-scale e-commerce operations that require deep insights into search visibility. Its capabilities extend to competitor monitoring, allowing users to track how their rivals perform for target keywords, identify opportunities, and analyze market share. The platform's emphasis on hyperlocal tracking enables businesses with physical locations or regionally targeted services to monitor their visibility within specific geographical areas, down to zip code levels. This level of granularity is often essential for businesses with a strong local SEO component, where national rankings may not reflect local market performance. For example, a business operating across multiple cities might use hyperlocal tracking to optimize its Google Business Profile listings and ensure visibility in each specific market segment, a common strategy for local SEO (Google Business Profile information).

The platform's architecture is designed to handle significant data volumes, processing millions of keyword checks monthly for its users. This scalability makes it a candidate for organizations that have outgrown the keyword limits or data refresh rates of more general-purpose SEO tools. While it offers a user interface for data visualization and reporting, its strength lies in the programmatic access to data, enabling sophisticated custom analyses and workflow automation using programming languages like Python and Node.js.

Key features

• SERP Tracking: Monitors keyword positions across various search engines, devices (desktop/mobile), and locations, including detailed SERP feature identification.
• Hyperlocal Tracking: Provides granular rank tracking down to specific zip codes or city levels, enabling precise local SEO monitoring.
• Competitor Monitoring: Tracks keyword performance for designated competitors, offering insights into their search visibility and market share.
• Keyword Research: Supports keyword discovery and analysis, helping users identify relevant terms and evaluate their search potential.
• API-First Data Access: Offers a comprehensive API for programmatic access to all collected data, facilitating integration into custom tools and dashboards (Nozzle API reference).
• Historical Data Retention: Stores historical ranking data, allowing for trend analysis and performance comparisons over time.
• Customizable Reporting: Provides options for generating custom reports and dashboards based on tracked data.

Pricing

Nozzle's pricing is structured around the volume of keyword checks and the included features. Plans scale from entry-level options for smaller operations to enterprise solutions for high-volume data needs. As of May 2026, the starter plan begins at $149 per month.

For detailed and up-to-date pricing information, including specific feature breakdowns for each tier, refer to the official Nozzle pricing page.

Common integrations

Nozzle's API-first design facilitates integration with a variety of tools and platforms, particularly those used for data analysis, visualization, and reporting:

• Custom Dashboards: Integrate rank tracking data into internal dashboards built with tools like Tableau, Power BI, or custom web applications.
• Data Warehouses: Push SERP data into data warehouses (e.g., Google BigQuery, Snowflake) for long-term storage and complex querying.
• Business Intelligence Tools: Connect with BI platforms to combine rank tracking data with other marketing and business metrics.
• SEO Reporting Tools: Automate data flow into client reports or internal SEO performance summaries.
• Programming Languages: Utilize client libraries or direct API calls with languages such as Python and Node.js for custom data processing and automation (Nozzle developer documentation).

Alternatives

• Semrush: A comprehensive SEO platform offering a wide range of tools beyond rank tracking, including site audit, backlink analysis, and content marketing features.
• Ahrefs: Known for its extensive backlink index and keyword research capabilities, also providing rank tracking and site audit tools.
• STAT (by Moz): An enterprise-grade rank tracking platform specializing in daily, granular SERP data and competitive analysis, acquired by Moz.

Getting started

To begin using Nozzle's API for rank tracking, you would typically authenticate your requests and then make calls to retrieve keyword data. The following Python example demonstrates a basic interaction with a hypothetical Nozzle API endpoint to fetch keyword rankings. This example assumes you have an API key and a project ID configured.

import requests
import json

API_KEY = "YOUR_NOZZLE_API_KEY"
PROJECT_ID = "YOUR_NOZZLE_PROJECT_ID"
API_BASE_URL = "https://api.nozzle.io/v1"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

def get_keyword_rankings(project_id, keyword_id=None):
    endpoint = f"{API_BASE_URL}/projects/{project_id}/keywords"
    if keyword_id:
        endpoint = f"{endpoint}/{keyword_id}/rankings"
    
    try:
        response = requests.get(endpoint, headers=headers)
        response.raise_for_status() # Raise an exception for HTTP errors
        return response.json()
    except requests.exceptions.HTTPError as e:
        print(f"HTTP error occurred: {e}")
        print(f"Response body: {response.text}")
    except requests.exceptions.RequestException as e:
        print(f"An error occurred: {e}")
    return None

# Example usage:
if __name__ == "__main__":
    print(f"Fetching all keyword rankings for Project ID: {PROJECT_ID}")
    all_rankings = get_keyword_rankings(PROJECT_ID)
    if all_rankings:
        # Print the first few rankings for demonstration
        print(json.dumps(all_rankings.get('data', [])[:3], indent=2))
        print(f"Total keywords retrieved: {len(all_rankings.get('data', []))}")
    else:
        print("Failed to retrieve keyword rankings.")

    # To fetch rankings for a specific keyword, you would need its ID
    # specific_keyword_id = "some_keyword_uuid"
    # print(f"\nFetching rankings for specific keyword ID: {specific_keyword_id}")
    # specific_rank_data = get_keyword_rankings(PROJECT_ID, specific_keyword_id)
    # if specific_rank_data:
    #     print(json.dumps(specific_rank_data, indent=2))
    # else:
    #     print("Failed to retrieve specific keyword rankings.")

This Python script provides a template for making authenticated GET requests to retrieve keyword data. Developers would replace placeholder values with their actual API key and project ID. The Nozzle documentation provides detailed information on available endpoints, request parameters, and response structures for various data retrieval and management operations.