# Google Search Results (SERP) Scraper (`rupom888/google-serp-scraper`) Actor Scrape Google search results for any keyword. Extracts organic rankings (position, URL, title, description, sitelinks), featured snippets, People Also Ask, related searches, knowledge panel, and top ads. Supports web, news, images, and video search. Filter by language, country, and date range. - **URL**: https://apify.com/rupom888/google-serp-scraper.md - **Developed by:** [Syed Rupom](https://apify.com/rupom888) (community) - **Categories:** Lead generation, SEO tools, Social media - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 SERP Scraper Scrape Google Search results for any keyword — organic listings, featured snippets, People Also Ask, related searches, and ads. Supports web, news, images, and video search. Localized by country and language. ### What you get - Organic search results with title, URL, description, position - Featured snippets (answer boxes) - People Also Ask questions and answers - Related searches - Sitelinks - Ads (labeled separately) - Knowledge panel data ### Output fields | Field | Description | |-------|-------------| | `keyword` | Search keyword used | | `position` | Rank position in results | | `title` | Page title | | `url` | Full URL | | `displayUrl` | Breadcrumb/display URL shown in Google | | `description` | Meta description / snippet text | | `date` | Date snippet (if shown) | | `sitelinks` | Sub-links shown under main result | | `isAd` | Whether result is a paid ad | | `isFeaturedSnippet` | Whether result is a featured snippet | | `featuredSnippetText` | Featured snippet content | | `searchType` | web / news / images / videos | | `page` | SERP page number | ### Input parameters | Parameter | Default | Description | |-----------|---------|-------------| | `keywords` | required | Search keywords (one search per keyword) | | `resultsPerKeyword` | 10 | Results to extract (up to 100) | | `searchType` | `web` | `web`, `news`, `images`, `videos` | | `country` | `us` | Country code (`us`, `uk`, `ca`, `de`, `au`) | | `language` | — | Language code (`en`, `es`, `fr`) | | `dateRange` | — | `day`, `week`, `month`, `year` | | `siteFilter` | — | Restrict to domain (e.g. `reddit.com`) | | `proxyConfiguration` | — | Residential proxy recommended | ### Example input ```json { "keywords": ["best running shoes 2025", "python web scraping tutorial"], "resultsPerKeyword": 20, "searchType": "web", "country": "us", "language": "en" } ```` ### Example output ```json { "keyword": "best running shoes 2025", "position": 1, "title": "Best Running Shoes of 2025 - Runner's World", "url": "https://www.runnersworld.com/gear/a20842348/best-running-shoes/", "displayUrl": "runnersworld.com › gear › best-running-shoes", "description": "Our editors have tested hundreds of running shoes to find the best for every type of runner...", "isAd": false, "isFeaturedSnippet": false, "searchType": "web", "page": 1 } ``` ### Proxy Residential proxy recommended for scraping at scale. Google blocks datacenter IPs on repeated requests. ### Use cases - SEO rank tracking and SERP monitoring - Competitor research and keyword analysis - Content gap analysis - News monitoring by keyword - Market research and trend analysis # Actor input Schema ## `keywords` (type: `array`): Search keywords to look up on Google. Each keyword runs as a separate search. ## `resultsPerKeyword` (type: `integer`): Number of organic search results to extract per keyword (up to 100). ## `searchType` (type: `string`): Type of Google search to perform. ## `country` (type: `string`): Country code for localized results (e.g. 'us', 'uk', 'ca', 'au', 'de'). ## `language` (type: `string`): ISO 639-1 language code to filter results (e.g. 'en', 'es', 'fr'). Leave blank for all languages. ## `dateRange` (type: `string`): Filter results by recency. ## `siteFilter` (type: `string`): Restrict results to a specific domain (e.g. 'reddit.com'). Adds 'site:' operator to keyword. ## `extractAiOverview` (type: `boolean`): Extract Google's AI-generated summary (AI Overview) if present, including the full text and cited sources. ## `extractShoppingResults` (type: `boolean`): Extract shopping carousel results (product name, price, store, rating) when present. ## `extractVideoResults` (type: `boolean`): Extract video carousel results (title, channel, duration, thumbnail, URL) when present. ## `extractLocalPack` (type: `boolean`): Extract Google Maps local pack results (name, address, rating, phone) when present. ## `proxyConfiguration` (type: `object`): Residential proxy recommended for Google SERP scraping at scale. ## Actor input object example ```json { "keywords": [ "best running shoes 2025" ], "resultsPerKeyword": 5, "searchType": "web", "country": "us", "language": "en", "dateRange": "", "siteFilter": "reddit.com", "extractAiOverview": true, "extractShoppingResults": true, "extractVideoResults": true, "extractLocalPack": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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 = { "keywords": [ "best running shoes 2025" ], "resultsPerKeyword": 5, "extractAiOverview": true, "extractShoppingResults": true, "extractVideoResults": true, "extractLocalPack": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("rupom888/google-serp-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 = { "keywords": ["best running shoes 2025"], "resultsPerKeyword": 5, "extractAiOverview": True, "extractShoppingResults": True, "extractVideoResults": True, "extractLocalPack": True, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("rupom888/google-serp-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 '{ "keywords": [ "best running shoes 2025" ], "resultsPerKeyword": 5, "extractAiOverview": true, "extractShoppingResults": true, "extractVideoResults": true, "extractLocalPack": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call rupom888/google-serp-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rupom888/google-serp-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Search Results (SERP) Scraper", "description": "Scrape Google search results for any keyword. Extracts organic rankings (position, URL, title, description, sitelinks), featured snippets, People Also Ask, related searches, knowledge panel, and top ads. Supports web, news, images, and video search. Filter by language, country, and date range.", "version": "0.1", "x-build-id": "mGCAtc39IHQOd00H2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rupom888~google-serp-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rupom888-google-serp-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rupom888~google-serp-scraper/runs": { "post": { "operationId": "runs-sync-rupom888-google-serp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rupom888~google-serp-scraper/run-sync": { "post": { "operationId": "run-sync-rupom888-google-serp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Search keywords to look up on Google. Each keyword runs as a separate search.", "items": { "type": "string" } }, "resultsPerKeyword": { "title": "Results Per Keyword", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of organic search results to extract per keyword (up to 100).", "default": 10 }, "searchType": { "title": "Search Type", "enum": [ "web", "news", "images", "videos" ], "type": "string", "description": "Type of Google search to perform.", "default": "web" }, "country": { "title": "Country", "type": "string", "description": "Country code for localized results (e.g. 'us', 'uk', 'ca', 'au', 'de').", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "ISO 639-1 language code to filter results (e.g. 'en', 'es', 'fr'). Leave blank for all languages." }, "dateRange": { "title": "Date Range", "enum": [ "", "day", "week", "month", "year" ], "type": "string", "description": "Filter results by recency.", "default": "" }, "siteFilter": { "title": "Site Filter", "type": "string", "description": "Restrict results to a specific domain (e.g. 'reddit.com'). Adds 'site:' operator to keyword." }, "extractAiOverview": { "title": "Extract AI Overview", "type": "boolean", "description": "Extract Google's AI-generated summary (AI Overview) if present, including the full text and cited sources.", "default": true }, "extractShoppingResults": { "title": "Extract Shopping Results", "type": "boolean", "description": "Extract shopping carousel results (product name, price, store, rating) when present.", "default": true }, "extractVideoResults": { "title": "Extract Video Results", "type": "boolean", "description": "Extract video carousel results (title, channel, duration, thumbnail, URL) when present.", "default": true }, "extractLocalPack": { "title": "Extract Local Pack (Map 3-pack)", "type": "boolean", "description": "Extract Google Maps local pack results (name, address, rating, phone) when present.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxy recommended for Google SERP scraping at scale." } } }, "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 } } } } } } } } } } ```