# Google Search Results Scraper (`webdata_labs/google-search-results-scraper`) Actor \[💵 From $4.20 / 1K pages] Scrape generic Google SERPs into normalized organic, ad, People Also Ask, and related-search data. - **URL**: https://apify.com/webdata\_labs/google-search-results-scraper.md - **Developed by:** [WebData Labs](https://apify.com/webdata_labs) (community) - **Categories:** SEO tools, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.20 / 1,000 google serp pages This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Google Search Results Scraper Scrape generic Google Search results into predictable page-level JSON. Get organic links, ads, People Also Ask questions, related searches, locale metadata, and result statistics without lead enrichment or contact extraction. ### ✅ What you get - Page-level records that preserve each query, locale, page number, and fetch time. - Normalized organic results with position, title, URL, displayed URL, and snippet. - Separate arrays for ads, People Also Ask, and related searches when Google returns them. - Partial-failure records, so one blocked query does not destroy a bulk run. ### ❌ What this isn't This is not Google Maps, a lead generator, an email extractor, or a page-content crawler. It returns Google SERP metadata only. ### 🔎 Example tasks - [Collect Google organic results by keyword](https://apify.com/webdata_labs/google-search-results-scraper/examples/google-organic-results-by-keyword). - [Monitor competitor SERPs](https://apify.com/webdata_labs/google-search-results-scraper/examples/google-serp-competitor-monitor). - [Collect localized Google results](https://apify.com/webdata_labs/google-search-results-scraper/examples/localized-google-search-results). - Feed structured search results into SEO, research, or RAG workflows. ### 👥 Who it is for SEO teams, researchers, developers, analysts, and automation builders who need generic Google results through an Actor, API, schedule, or integration. ### ⚙️ Input Provide one or more `queries`. Choose `maxPagesPerQuery` from 1 to 10, then set `countryCode`, `language`, and `safeSearch`. The prefilled input is a complete one-page run. ```json { "queries":["apify web scraping","browser automation"], "maxPagesPerQuery":1, "countryCode":"us", "language":"en" } ```` ### 📤 Output Each dataset item represents one Google result page and contains: - `query`, `page`, `start`, `countryCode`, `language`, `fetchedAt`, and `status` - `organicResults` - `ads` - `peopleAlsoAsk` - `relatedSearches` - `resultStats` - `error` when a page exhausts retries ### 💵 Pricing The launch price is **$4.35 per 1,000 successfully parsed SERP pages** on the Free tier, falling to **$4.20 per 1,000** on the Business tier. Platform usage is included. Failed fetches are written for observability but are not charged. | Apify tier | Price per 1,000 pages | |---|---:| | Free | $4.35 | | Starter | $4.30 | | Scale | $4.25 | | Business | $4.20 | ### 🔁 Reliability behavior The Actor uses Apify's Google SERP proxy, an HTTP-only interface built for Google result pages. It retries challenge, timeout, and incomplete responses up to three times and continues other queries after a page-level failure. ### ⚠️ Limits and responsible use Google changes markup and result features by country, query, and experiment. Optional blocks may be absent even when organic results are present. Respect applicable laws, contractual restrictions, and the rights of data subjects and publishers. ### 🧩 Integrations Run from Console, REST API, JavaScript/Python clients, schedules, webhooks, Make, Zapier, or any workflow that can consume an Apify dataset. ### ❓ Support Open an issue with a redacted query, country/language, run ID, and expected versus actual field. Enable `debugHtml` only when troubleshooting because saved HTML may contain the search query. # Actor input Schema ## `queries` (type: `array`): Google queries to run, one per line. ## `maxPagesPerQuery` (type: `integer`): Google result pages to fetch for each query. ## `countryCode` (type: `string`): Two-letter result country, such as us, gb, ca, au, de, or fr. ## `language` (type: `string`): Google interface/result language. ## `safeSearch` (type: `boolean`): Enable Google's SafeSearch filter. ## `includeEmptyPages` (type: `boolean`): Write structured empty records when a valid SERP has no extracted features. ## `debugHtml` (type: `boolean`): Save raw SERP HTML to the run key-value store for troubleshooting. ## Actor input object example ```json { "queries": [ "apify web scraping" ], "maxPagesPerQuery": 1, "countryCode": "us", "language": "en", "safeSearch": true, "includeEmptyPages": false, "debugHtml": false } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `summary` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "apify web scraping" ], "maxPagesPerQuery": 1 }; // Run the Actor and wait for it to finish const run = await client.actor("webdata_labs/google-search-results-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "queries": ["apify web scraping"], "maxPagesPerQuery": 1, } # Run the Actor and wait for it to finish run = client.actor("webdata_labs/google-search-results-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "apify web scraping" ], "maxPagesPerQuery": 1 }' | apify call webdata_labs/google-search-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=webdata_labs/google-search-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Search Results Scraper", "description": "[💵 From $4.20 / 1K pages] Scrape generic Google SERPs into normalized organic, ad, People Also Ask, and related-search data.", "version": "0.1", "x-build-id": "HpG9lUECX65GJSugz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/webdata_labs~google-search-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-webdata_labs-google-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/webdata_labs~google-search-results-scraper/runs": { "post": { "operationId": "runs-sync-webdata_labs-google-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/webdata_labs~google-search-results-scraper/run-sync": { "post": { "operationId": "run-sync-webdata_labs-google-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "queries" ], "properties": { "queries": { "title": "Search queries", "type": "array", "description": "Google queries to run, one per line.", "items": { "type": "string" } }, "maxPagesPerQuery": { "title": "Pages per query", "minimum": 1, "maximum": 10, "type": "integer", "description": "Google result pages to fetch for each query.", "default": 1 }, "countryCode": { "title": "Country code", "type": "string", "description": "Two-letter result country, such as us, gb, ca, au, de, or fr.", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Google interface/result language.", "default": "en" }, "safeSearch": { "title": "SafeSearch", "type": "boolean", "description": "Enable Google's SafeSearch filter.", "default": true }, "includeEmptyPages": { "title": "Include empty pages", "type": "boolean", "description": "Write structured empty records when a valid SERP has no extracted features.", "default": false }, "debugHtml": { "title": "Save debug HTML", "type": "boolean", "description": "Save raw SERP HTML to the run key-value store for troubleshooting.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```