ScaleSerp

Retrieves parsed Google organic search results with geographic targeting at country, state, city, and postal code granularity. Distributes requests across a global server network to simulate searches from specific locations, returning structured organic result data including titles, URLs, snippets, and metadata. Uses full in-memory browser rendering to ensure accurate parsing of dynamically-loaded content without manual extraction rules.

Extracts structured data from multiple Google properties (organic results, paid ads, shopping results, news, images, video, scholar, places, products, trends, reviews) in a single API request. Automatically parses HTML via full in-memory browser rendering and returns pre-structured JSON for each property type without requiring manual extraction rules or regex patterns. Supports selective property retrieval via query parameters.

Automatically generates working code samples for HTTP, cURL, Node.js, Python, and PHP based on API playground configuration or manual parameter specification. Generated code includes proper authentication, request formatting, and response handling patterns. Eliminates manual request construction and enables rapid integration across multiple programming languages.

Simulates search requests from different device types (desktop, mobile, tablet) to retrieve device-specific Google search results. Modifies user-agent headers and viewport parameters in the rendering engine to trigger device-specific SERP layouts and content. Enables detection of device-specific ranking variations, mobile-first indexing effects, and responsive design impacts on search visibility.

Accepts up to 15,000 search requests in a single batch operation, queues them for scheduled execution, and returns results asynchronously. Distributes batch execution across the API infrastructure to avoid rate limiting and reduce per-request costs. Provides batch management endpoints to monitor queue status, retrieve results, and handle errors without blocking on individual request completion.

Executes up to 15,000 concurrent search requests simultaneously on higher-tier plans (Basic and above), distributing them across the global server network. Manages connection pooling, request queuing, and response aggregation transparently. Enables rapid large-scale search data collection without requiring users to implement parallel request management or connection pooling logic.

Targets Google search results by geographic location at multiple granularity levels: country, state/province, city, and postal/zip code. Maintains a Locations API endpoint that returns all supported geographic targets for a given country. Routes requests through geographically-distributed servers to simulate searches from the target location, ensuring accurate localization of results, local business listings, and region-specific content.

Provides an Error Logs API endpoint that retrieves detailed error information for failed search requests, including error codes, error messages, and request context. Enables post-hoc debugging of failed searches without requiring real-time error callbacks or webhook infrastructure. Supports filtering and querying of error logs to identify patterns in request failures.

Provides a web-based interactive playground for testing API requests with live parameter adjustment and instant result preview. Automatically generates working code samples in Node.js, Python, and PHP based on playground configuration. Enables rapid API exploration and integration without requiring local development environment setup or manual request construction.

Provides 125 free searches per month without requiring credit card information, enabling risk-free API exploration and evaluation. Free tier searches use the same API infrastructure and response quality as paid tiers, with no documented feature limitations. Enables developers to validate API fit before committing to paid plans.

Offers six subscription tiers (Starter through Enterprise 5M) with monthly search quotas ranging from 1,000 to 5,000,000 searches, with per-search costs decreasing from $0.038 to $0.002 as volume increases. Includes 20% annual billing discount and overage pricing for searches exceeding monthly quota. Enables cost optimization for applications with varying search volume requirements.