# Google Search Results Scraper - SERP API, PAA & Rich Results (`santhej/google-search-results-scraper`) Actor Scrape Google Search results at scale: organic rankings, People Also Ask, AI Overview, featured snippets, ads & related searches. Any keyword, 190+ countries, desktop or mobile. Clean JSON/CSV. 95%+ success. No proxies or API keys to manage. - **URL**: https://apify.com/santhej/google-search-results-scraper.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** SEO tools, AI, MCP servers - **Stats:** 4 total users, 4 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event 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 Search Results Scraper — SERP API for Organic Rankings, PAA, AI Overview & Ads **Track Google rankings, steal competitor keywords, and feed live SERP data into your apps — without proxies, captchas, or a flaky scraper to babysit. 95%+ success, structured JSON, any country.** Give it a list of keywords and get back every element on the Google results page: organic rankings, People Also Ask, AI Overview, featured snippets, ads, and related searches — one clean row each. Built for SEOs, agencies, and developers who need reliable SERP data at scale. --- ### What you can scrape - 🔎 **Organic results** — rank, title, URL, domain, snippet, breadcrumb for every listing. - ❓ **People Also Ask** — the questions Google surfaces for each query (content-gold for SEO). - 🤖 **AI Overview** — capture Google's AI answer block when present. - ⭐ **Featured snippets & rich results** — position-zero, ratings, prices, sitelinks. - 📣 **Ads & shopping** — see who's bidding on your keywords. - 🔗 **Related searches** — expand your keyword universe. ### Why this scraper | | This actor | DIY scraping | Other SERP APIs | |---|---|---|---| | **Reliability** | 95%+ success, enterprise infra | Breaks on every Google change | Varies | | **Proxies / captchas** | Handled — nothing to set up | You manage proxies & bans | Sometimes extra | | **Coverage** | 190+ countries, desktop + mobile | Hard to localize | Tiered pricing | | **Output** | Clean JSON / CSV / Excel | Raw HTML to parse | Varies | | **Pricing** | Pay per page, no subscription | "Free" but costs you hours | $50–$500/mo plans | ### Perfect for - **Rank tracking** — monitor where you and competitors rank for target keywords. - **Keyword & content research** — mine People Also Ask and related searches for topics. - **SERP monitoring** — detect AI Overviews, featured snippets, and SERP feature changes. - **Competitive intelligence** — see who ranks and who's running ads in your niche. - **AI & RAG pipelines** — feed fresh, structured search results to LLM agents and MCP tools. ### How to use it 1. Paste your **keywords** (one per line). 2. Choose **country**, **language**, **device**, and how many results per query. 3. Run it — download JSON/CSV or pull via the API. #### Example input ```json { "queries": ["best running shoes", "crm software"], "resultsDepth": 20, "locationCode": "2840", "languageCode": "en", "device": "desktop" } ```` #### Example output (one row per result) ```json { "query": "best running shoes", "type": "organic", "rank_absolute": 2, "title": "The 15 Best Running Shoes of 2026", "url": "https://www.runnersworld.com/gear/a19663621/best-running-shoes/", "domain": "www.runnersworld.com", "description": "The Brooks Ghost is our No. 1 shoe…", "breadcrumb": "runnersworld.com › … › Running Shoes" } ``` ### Pricing Pay per SERP page scraped — no monthly fee, no minimum. A full results page (up to 100 results) is a flat, tiny charge. Scrape 10 keywords or 10,000; you only pay for what you run. ### FAQ **Do I need proxies or to solve captchas?** No. All of that is handled — you just send keywords. **Which countries and languages are supported?** 190+ countries and all major languages. Pick your country in the input. **Can I get only organic results?** Yes — toggle "Organic results only" to drop ads, PAA, and other elements. **Is this good for an AI agent?** Yes — output is clean structured JSON, ideal for MCP servers, n8n, Make, and custom LLM agents. *** *Tags: google serp scraper, serp api, google search scraper, scrape google, rank tracker, keyword rankings, people also ask, ai overview, featured snippet, google results api, seo scraper.* # Actor input Schema ## `queries` (type: `array`): Keywords / search queries to scrape. One per line. Each query = 1 Google SERP page. Up to 1,000 per run. ## `resultsDepth` (type: `integer`): How many results to return per query (10–100). ## `locationCode` (type: `string`): Target country. Default United States (2840). UK 2826, Canada 2124, Australia 2036, India 2356, Germany 2276. ## `locationName` (type: `string`): Precise location, e.g. 'New York,New York,United States' or 'London,England,United Kingdom'. Overrides Country when set. Leave blank to use Country. ## `languageCode` (type: `string`): Language code (e.g. en, es, de, fr). ## `dateRange` (type: `string`): Restrict results by recency. Use Custom to set exact before/after dates. ## `dateAfter` (type: `string`): Only results after this date. Format YYYY-MM-DD. Used only when Date range = Custom. ## `dateBefore` (type: `string`): Only results before this date. Format YYYY-MM-DD. Used only when Date range = Custom. ## `site` (type: `string`): Restrict to one domain, e.g. 'nytimes.com'. Composed into the query as site:domain. ## `exactPhrase` (type: `string`): Match this exact phrase (wrapped in quotes in the query). ## `excludeWords` (type: `string`): Comma/space separated words to exclude (each becomes -word). ## `intitle` (type: `string`): Require this word/phrase in the page title. ## `inurl` (type: `string`): Require this word in the page URL. ## `filetype` (type: `string`): Restrict to a file type, e.g. 'pdf', 'doc', 'ppt'. ## `device` (type: `string`): Desktop or mobile SERP. ## `organicOnly` (type: `boolean`): If enabled, returns only organic results and drops ads, PAA, AI Overview, etc. ## Actor input object example ```json { "queries": [ "best running shoes", "crm software", "project management tools" ], "resultsDepth": 20, "locationCode": "2840", "languageCode": "en", "dateRange": "any", "device": "desktop", "organicOnly": false } ``` # Actor output Schema ## `dataset` (type: `string`): All scraped SERP elements across queries. ## `summary` (type: `string`): Queries, pages scraped, and row counts. # 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": [ "best running shoes", "crm software", "project management tools" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/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": [ "best running shoes", "crm software", "project management tools", ] } # Run the Actor and wait for it to finish run = client.actor("santhej/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": [ "best running shoes", "crm software", "project management tools" ] }' | apify call santhej/google-search-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/google-search-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Search Results Scraper - SERP API, PAA & Rich Results", "description": "Scrape Google Search results at scale: organic rankings, People Also Ask, AI Overview, featured snippets, ads & related searches. Any keyword, 190+ countries, desktop or mobile. Clean JSON/CSV. 95%+ success. No proxies or API keys to manage.", "version": "0.0", "x-build-id": "8bPqLdpTNNjQDuSVA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~google-search-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santhej~google-search-results-scraper/runs": { "post": { "operationId": "runs-sync-santhej-google-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santhej~google-search-results-scraper/run-sync": { "post": { "operationId": "run-sync-santhej-google-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Search queries", "minItems": 1, "maxItems": 1000, "type": "array", "description": "Keywords / search queries to scrape. One per line. Each query = 1 Google SERP page. Up to 1,000 per run.", "items": { "type": "string" } }, "resultsDepth": { "title": "Results per query", "minimum": 10, "maximum": 100, "type": "integer", "description": "How many results to return per query (10–100).", "default": 20 }, "locationCode": { "title": "Country", "enum": [ "2840", "2826", "2124", "2036", "2356", "2276", "2250", "2724", "2380", "2392" ], "type": "string", "description": "Target country. Default United States (2840). UK 2826, Canada 2124, Australia 2036, India 2356, Germany 2276.", "default": "2840" }, "locationName": { "title": "City / region (optional)", "type": "string", "description": "Precise location, e.g. 'New York,New York,United States' or 'London,England,United Kingdom'. Overrides Country when set. Leave blank to use Country." }, "languageCode": { "title": "Language", "type": "string", "description": "Language code (e.g. en, es, de, fr).", "default": "en" }, "dateRange": { "title": "Date range", "enum": [ "any", "past-day", "past-week", "past-month", "past-year", "custom" ], "type": "string", "description": "Restrict results by recency. Use Custom to set exact before/after dates.", "default": "any" }, "dateAfter": { "title": "After date (custom range)", "type": "string", "description": "Only results after this date. Format YYYY-MM-DD. Used only when Date range = Custom." }, "dateBefore": { "title": "Before date (custom range)", "type": "string", "description": "Only results before this date. Format YYYY-MM-DD. Used only when Date range = Custom." }, "site": { "title": "Limit to site (site:)", "type": "string", "description": "Restrict to one domain, e.g. 'nytimes.com'. Composed into the query as site:domain." }, "exactPhrase": { "title": "Exact phrase", "type": "string", "description": "Match this exact phrase (wrapped in quotes in the query)." }, "excludeWords": { "title": "Exclude words", "type": "string", "description": "Comma/space separated words to exclude (each becomes -word)." }, "intitle": { "title": "In title (intitle:)", "type": "string", "description": "Require this word/phrase in the page title." }, "inurl": { "title": "In URL (inurl:)", "type": "string", "description": "Require this word in the page URL." }, "filetype": { "title": "File type (filetype:)", "type": "string", "description": "Restrict to a file type, e.g. 'pdf', 'doc', 'ppt'." }, "device": { "title": "Device", "enum": [ "desktop", "mobile" ], "type": "string", "description": "Desktop or mobile SERP.", "default": "desktop" }, "organicOnly": { "title": "Organic results only", "type": "boolean", "description": "If enabled, returns only organic results and drops ads, PAA, AI Overview, etc.", "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 } } } } } } } } } } ```