# Google Search Results Scraper (`kawsar/google-search-results-scraper`) Actor Google Search Results Scraper that extracts titles, URLs, snippets, and positions for any keyword, so you can automate SEO research, rank tracking, and competitive analysis without manual searching. - **URL**: https://apify.com/kawsar/google-search-results-scraper.md - **Developed by:** [Kawsar](https://apify.com/kawsar) (community) - **Categories:** SEO tools, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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.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 Search Results Scraper ![Google Search Results Scraper](https://i.imgur.com/oP0U8mK.png) Scrape Google search results for any keyword and get back structured data: title, URL, snippet, display URL, position, and total result count per result. Give it a list of keywords and it runs each one through Google Search. Works for SEO research, rank tracking, competitor analysis, content research, and building datasets. Run one keyword or a hundred at once. ### What it does - Runs each keyword through Google and returns the organic results - Captures position, title, URL, display URL, and snippet for each result - Optionally includes paid ad results alongside organic ones - Records Google's estimated total result count per keyword - If one keyword errors out, the run continues with the rest ### Input | Field | Type | Description | Default | |---|---|---|---| | `keywords` | List of strings | Search keywords to run | — | | `maxResultsPerKeyword` | Integer | Max results per keyword | 10 | | `includeAds` | Boolean | Include paid ad results | false | | `maxItems` | Integer | Total result cap across all keywords | 100 | | `requestTimeoutSecs` | Integer | Per-request timeout in seconds | 30 | #### Example input Plain keyword search: ```json { "keywords": ["apify", "web scraping tools", "python automation"], "maxResultsPerKeyword": 10, "includeAds": false, "maxItems": 100, "requestTimeoutSecs": 30 } ```` With Google Search operators: ```json { "keywords": [ "site:github.com apify scraper", "\"web scraping\" python -selenium", "intitle:\"data extraction\" filetype:pdf", "related:apify.com", "inurl:scraper python after:2023-01-01", "\"best scraping tools\" OR \"top web scrapers\" 2024", "(playwright OR puppeteer) site:medium.com" ], "maxResultsPerKeyword": 10, "maxItems": 200 } ``` SEO research with operators: ```json { "keywords": [ "site:competitor.com", "intitle:\"buy shoes online\" -amazon -ebay", "allintitle:python web scraping tutorial", "\"price list\" filetype:pdf shoes", "shoes after:2024-01-01 before:2024-12-31" ], "maxResultsPerKeyword": 20, "maxItems": 500 } ``` ### Output Each result is a flat record. Example: ```json { "keyword": "apify", "position": 1, "resultTitle": "Apify: Full-stack web scraping and data extraction platform", "url": "https://apify.com/", "displayUrl": "https://apify.com", "snippet": "Cloud platform for web scraping, browser automation, AI agents, and data for AI. Use 25000+ ready-made tools, code templates, and proxies.", "resultType": "organic", "totalResults": "About 645,000 results", "searchUrl": "https://www.google.com/search?q=apify&hl=en&gl=US&num=100", "scrapedAt": "2026-04-19T10:30:00.000000+00:00", "errorMessage": null } ``` #### Output fields | Field | Description | |---|---| | `keyword` | The keyword that produced this result | | `position` | Rank position (1 = top result) | | `resultTitle` | Page title from the search result | | `url` | Destination URL | | `displayUrl` | Shortened URL shown in the result listing | | `snippet` | Description text from the result card | | `resultType` | `organic` or `ad` | | `totalResults` | Google's estimated total result count | | `searchUrl` | Full Google search URL used | | `scrapedAt` | ISO 8601 timestamp | | `errorMessage` | Null on success; generic message on failure | ### Google Search operators Every keyword you pass goes directly into a Google Search query, so all standard Google Search operators work out of the box. Mix them freely with regular keywords. #### Reliable operators | Operator | What it does | Example | |---|---|---| | `" "` | Match an exact word or phrase | `"steve jobs"` | | `OR` | Results related to X or Y | `jobs OR gates` | | `\|` | Same as OR | `jobs \| gates` | | `AND` | Results related to X and Y | `jobs AND gates` | | `-` | Exclude a word or phrase | `jobs -apple` | | `*` | Wildcard matching any word | `steve * apple` | | `( )` | Group multiple terms | `(ipad OR iphone) apple` | | `define:` | Definition of a word | `define:entrepreneur` | | `cache:` | Most recent cached version of a page | `cache:apple.com` | | `filetype:` | Search for specific file types | `apple filetype:pdf` | | `ext:` | Same as filetype | `apple ext:pdf` | | `site:` | Results from a specific website | `site:apple.com` | | `related:` | Sites related to a domain | `related:apple.com` | | `intitle:` | Pages with a word in the title | `intitle:apple` | | `allintitle:` | Pages with multiple words in the title | `allintitle:apple iphone` | | `inurl:` | Pages with a word in the URL | `inurl:apple` | | `allinurl:` | Pages with multiple words in the URL | `allinurl:apple iphone` | | `intext:` | Pages containing a word in body text | `intext:apple iphone` | | `allintext:` | Pages containing multiple words in body text | `allintext:apple iphone` | | `weather:` | Weather for a location | `weather:san francisco` | | `stocks:` | Stock information for a ticker | `stocks:aapl` | | `map:` | Force map results | `map:silicon valley` | | `movie:` | Information about a movie | `movie:steve jobs` | | `in` | Unit conversion | `$329 in GBP` | | `source:` | Results from a specific source in Google News | `apple source:the_verge` | | `before:` | Results published before a date | `apple before:2007-06-29` | | `after:` | Results published after a date | `apple after:2007-06-29` | #### Unreliable operators These operators are documented by Google but may not work consistently: | Operator | What it does | Example | |---|---|---| | `#..#` | Search within a number range | `iphone case $50..$60` | | `inanchor:` | Pages with specific anchor text in backlinks | `inanchor:apple` | | `allinanchor:` | Pages with multiple anchor text words | `allinanchor:apple iphone` | | `AROUND(X)` | Two terms within X words of each other | `apple AROUND(4) iphone` | | `loc:` | Results from a geographic area | `loc:"san francisco" apple` | | `location:` | News from a location (Google News) | `location:"san francisco" apple` | | `daterange:` | Results within a Julian date range | `daterange:11278-13278` | > Operators can be combined freely. For example: `site:github.com "web scraper" python after:2023-01-01` runs as a single keyword and returns matching results. ### What people use it for SEO teams use it to monitor where pages rank for target keywords. Content researchers use it to see what topics and domains dominate a search. Developers use it to build labeled datasets for training and evaluation. It also works for competitive analysis: run your competitor's brand name and see what shows up. The `includeAds` option is useful if you are doing paid search research and want to see which advertisers are bidding on a keyword. ### Notes - Results are from the Google US English index (`hl=en&gl=US`) - Google sometimes returns fewer results than the max you request, especially for niche keywords - When a keyword fails, the actor saves a row with `errorMessage` set and continues to the next keyword - `maxItems` is a total cap across all keywords combined, not per keyword ### Legal Intended for research, analytics, and educational use. Make sure your use case follows Google's Terms of Service and the laws in your jurisdiction. *** [![Try Google Search Results Scraper](https://i.imgur.com/tOH2s9h.png)](https://apify.com/kawsarlog/google-search-results-scraper-20260419) # Actor input Schema ## `keywords` (type: `array`): List of search keywords to scrape. Each keyword runs a separate Google search. ## `maxResultsPerKeyword` (type: `integer`): Maximum number of organic search results to extract per keyword. ## `includeAds` (type: `boolean`): When enabled, paid ad results are included alongside organic results. ## `maxItems` (type: `integer`): Maximum total number of results to save across all keywords. ## `requestTimeoutSecs` (type: `integer`): Per-request timeout in seconds. ## Actor input object example ```json { "keywords": [ "apify", "web scraping tools", "python automation" ], "maxResultsPerKeyword": 10, "includeAds": false, "maxItems": 100, "requestTimeoutSecs": 30 } ``` # 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": [ "apify" ] }; // Run the Actor and wait for it to finish const run = await client.actor("kawsar/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 = { "keywords": ["apify"] } # Run the Actor and wait for it to finish run = client.actor("kawsar/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 '{ "keywords": [ "apify" ] }' | apify call kawsar/google-search-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kawsar/google-search-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Search Results Scraper", "description": "Google Search Results Scraper that extracts titles, URLs, snippets, and positions for any keyword, so you can automate SEO research, rank tracking, and competitive analysis without manual searching.", "version": "0.0", "x-build-id": "kiAZavaAIF6qvapTQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kawsar~google-search-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kawsar-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kawsar~google-search-results-scraper/runs": { "post": { "operationId": "runs-sync-kawsar-google-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kawsar~google-search-results-scraper/run-sync": { "post": { "operationId": "run-sync-kawsar-google-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "List of search keywords to scrape. Each keyword runs a separate Google search.", "items": { "type": "string" } }, "maxResultsPerKeyword": { "title": "Max results per keyword", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of organic search results to extract per keyword.", "default": 10 }, "includeAds": { "title": "Include ads", "type": "boolean", "description": "When enabled, paid ad results are included alongside organic results.", "default": false }, "maxItems": { "title": "Max items total", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum total number of results to save across all keywords.", "default": 100 }, "requestTimeoutSecs": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "Per-request timeout in seconds.", "default": 30 } } }, "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 } } } } } } } } } } ```