# Google Search Scraper - ($0.35/1000 Pages) (`scrapesmith/google-search-scraper`) Actor πŸ”₯$0.35/1000 pagesπŸ”₯Scrape Google search results for just $0.35 per 1,000 searches β€” organic results, knowledge panels, related searches, dates, and sitelinks. Multi-query, multi-page. Charge per search, not per result. Fast, lightweight, and the most affordable SERP scraper on the platform. - **URL**: https://apify.com/scrapesmith/google-search-scraper.md - **Developed by:** [Scrape Smith](https://apify.com/scrapesmith) (community) - **Categories:** Developer tools, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.35 / 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 πŸ” β€” SERP Data at Scale **Scrape Google search results for any query and get clean, structured data β€” organic results, knowledge panels, related searches, dates, and sitelinks.** Feed it one keyword or a thousand and get back analysis-ready search data you can drop straight into Excel, Google Sheets, BigQuery, or your own SEO and marketing tools. Charged **per search page, not per result** β€” one search returning 10 organic results costs the same as one charge. The most cost-effective way to pull Google SERP data at scale. --- ### ⭐ Key features - πŸ”Ž **Organic results** β€” position, title, URL, description, and publication date for every result - 🏒 **Knowledge panels** β€” entity info (company details, people, places) when Google shows one - πŸ”— **Sitelinks** β€” sub-page links Google shows under top results - πŸ” **Related searches** β€” "People also search for" keywords - 🌍 **20+ countries** β€” localized results via country and language codes - πŸ“„ **Multi-page** β€” scrape up to 10 pages per query (100 results) - πŸ“¦ **Multi-query** β€” batch hundreds of keywords in a single run - ⏰ **Time filters** β€” past hour, day, week, month, year, or custom date ranges - πŸ“Š **Merged export** β€” optionally combine all pages into one dataset item for easy spreadsheet imports - πŸ’° **Per-search billing** β€” pay per search page, not per individual result --- ### 🎯 Who it is for | Audience | Use case | |---|---| | πŸ“ˆ SEO professionals | Track keyword rankings, monitor SERP features, audit competitors | | 🏒 Marketing teams | Research competitors, find content gaps, track brand mentions | | πŸ” Lead generation | Harvest URLs from search results for outreach campaigns | | πŸ“Š Data analysts | Build keyword datasets, trend analysis, market research | | πŸ€– Developers | Feed SERP data into dashboards, alerts, and monitoring tools | | πŸ“° Journalists & researchers | Verify claims, track news coverage, gather sources | --- ### πŸ“Š Output Each search page is **one dataset item** containing all results and metadata for that page: ```json { "page_number": 1, "search_term": "best laptops 2025", "results": [ { "position": 1, "url": "https://www.laptopmag.com/best-picks/best-laptops", "title": "Best Laptops 2025: Top Picks Based on Testing and Reviews", "description": "Our expert-tested picks for the best laptops you can buy...", "date": "Jun 15, 2025", "sitelinks": [ {"title": "Gaming Laptops", "url": "https://..."}, {"title": "Budget Laptops", "url": "https://..."} ] }, { "position": 2, "url": "https://www.rtings.com/laptop/reviews/best/by-usage/home-office", "title": "The 5 Best Laptops for Home & Office Use - RTINGS.com", "description": "Updated weekly. We buy and test every laptop ourselves..." } ], "knowledge_panel": { "name": "Laptop", "description": {"text": "A laptop is a portable personal computer...", "site": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Laptop"}, "image": {"url": "https://encrypted-tbn0.gstatic.com/..."}, "info": [ {"title": "Invented", "labels": ["1981"]}, {"title": "Inventor", "labels": ["Adam Osborne"]} ] }, "related_keywords": { "spelling_suggestion": null, "keywords": [ {"position": 1, "keyword": "best laptops for students"}, {"position": 2, "keyword": "best budget laptop 2025"}, {"position": 3, "keyword": "best laptop brands"} ] }, "next_page": 2, "next_start": 10 } ```` #### Per-result fields | Field | Description | |---|---| | `position` | Ranking position on the page (1–10) | | `url` | Result URL | | `title` | Result title / headline | | `description` | Snippet text shown by Google | | `date` | Publication date (when available) | | `sitelinks` | Sub-page links (on brand/authority results) | #### Page-level fields | Field | Description | |---|---| | `page_number` | Page number (1, 2, 3... or "all" for merged) | | `search_term` | The query that produced these results | | `knowledge_panel` | Entity card (company info, person details, etc.) | | `related_keywords` | "People also search for" suggestions | | `next_page` / `next_start` | Pagination info for the next page | *** ### πŸ“₯ Input ```json { "queries": ["best laptops 2025", "python tutorial", "apple"], "maxPagesPerQuery": 3, "countryCode": "us", "searchLanguage": "en", "timeFilter": "", "includeMerged": true } ``` | Parameter | Type | Default | Description | |---|---|---|---| | **queries** | string\[] | required | List of search queries (supports Google operators: `"exact phrase"`, `-exclude`, `site:example.com`) | | maxPagesPerQuery | integer | 1 | Pages per query (1–10, each page β‰ˆ 10 results) | | countryCode | string | us | Country code for localized results (us, gb, de, fr, jp, br, in...) | | searchLanguage | string | en | Language code (en, de, fr, ja, pt, es...) | | timeFilter | string | any time | Time filter: past hour / day / week / month / year, or custom range like `cdr:1,cd_min:01/01/2024,cd_max:06/30/2024` | | includeMerged | boolean | false | Add a final "all" item combining all pages per query into one | *** ### πŸš€ Popular use cases - **Keyword rank tracking** β€” monitor where your pages rank for target keywords across regions - **Competitor monitoring** β€” track who ranks above you and how their snippets change - **Content research** β€” find what Google surfaces for a topic, including dates and related queries - **Lead generation** β€” harvest URLs from search results for outreach - **Brand monitoring** β€” check how your brand appears in search, including knowledge panel data - **Market research** β€” compare search landscapes across countries and languages - **News monitoring** β€” use time filters to track recent coverage of any topic *** ### 🌍 Supported countries Works with any Google country code β€” us, gb, de, fr, es, it, nl, ca, au, jp, in, br, mx, kr, se, pl, and dozens more. Each returns localized results in the language you specify. *** ### πŸ’° Pricing Charged **per search page** β€” not per individual result. One search page contains up to 10 organic results plus knowledge panel and related searches. This means scraping 10 results costs the same as scraping 1. *** ### πŸ”Œ Automation & integrations Connect to **Make, Zapier, n8n, Slack, Discord, Google Sheets, Airtable, BigQuery, Snowflake, Postgres**, or any REST/webhook endpoint. Use the Apify scheduler to track keywords daily, weekly, or on any cadence. *** ### ❓ FAQ **How many results per page?** Google returns up to 10 organic results per page. Use `maxPagesPerQuery` to go deeper (up to 100 results per query). **Can I search in different languages?** Yes β€” set `countryCode` and `searchLanguage` to get localized results in any supported language. **Does it return ads?** No β€” this scraper focuses on organic results, knowledge panels, and related searches. No ads, no People Also Ask, no AI overviews. **Can I filter by date?** Yes β€” use `timeFilter` for preset ranges (past hour/day/week/month/year) or a custom date range. **What's the merged output?** When `includeMerged` is true, the scraper adds one extra dataset item per query that combines all pages into a single results array β€” perfect for spreadsheet exports. **Can I use Google operators?** Yes β€” `"exact phrase"`, `-exclude`, `site:example.com`, `filetype:pdf` all work. **What export formats are available?** JSON, CSV, Excel, XML, JSONL, and HTML β€” plus direct API access. *** ### πŸ“ˆ Start scraping Google Search now Give it your keywords and get structured SERP data in seconds β€” rankings, snippets, knowledge panels, dates, and related searches, ready for SEO, marketing, lead gen, and research workflows. # Actor input Schema ## `queries` (type: `array`): List of Google search queries to scrape results for. ## `maxPagesPerQuery` (type: `integer`): How many pages of results to scrape per query (10 results per page). Default 1. ## `countryCode` (type: `string`): Google country code for localized results (e.g. us, gb, de, fr, jp, br, in). ## `searchLanguage` (type: `string`): Language code for results (e.g. en, de, fr, ja, pt, es). ## `timeFilter` (type: `string`): Filter results by time. Use presets or a custom date range like cdr:1,cd\_min:01/01/2024,cd\_max:06/30/2024 ## `includeMerged` (type: `boolean`): Add a final dataset item combining all pages into one (page\_number='all'). Useful for single-file exports. ## Actor input object example ```json { "queries": [ "web scraping python" ], "maxPagesPerQuery": 1, "countryCode": "us", "searchLanguage": "en", "timeFilter": "", "includeMerged": false } ``` # 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": [ "web scraping python", "best restaurants new york" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesmith/google-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": [ "web scraping python", "best restaurants new york", ] } # Run the Actor and wait for it to finish run = client.actor("scrapesmith/google-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "web scraping python", "best restaurants new york" ] }' | apify call scrapesmith/google-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesmith/google-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Search Scraper - ($0.35/1000 Pages)", "description": "πŸ”₯$0.35/1000 pagesπŸ”₯Scrape Google search results for just $0.35 per 1,000 searches β€” organic results, knowledge panels, related searches, dates, and sitelinks. Multi-query, multi-page. Charge per search, not per result. Fast, lightweight, and the most affordable SERP scraper on the platform.", "version": "0.0", "x-build-id": "gchXY3BbFQp7MTI4I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesmith~google-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesmith-google-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scrapesmith~google-search-scraper/runs": { "post": { "operationId": "runs-sync-scrapesmith-google-search-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/scrapesmith~google-search-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesmith-google-search-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": "List of Google search queries to scrape results for.", "items": { "type": "string" } }, "maxPagesPerQuery": { "title": "Max pages per query", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many pages of results to scrape per query (10 results per page). Default 1.", "default": 1 }, "countryCode": { "title": "Country", "type": "string", "description": "Google country code for localized results (e.g. us, gb, de, fr, jp, br, in).", "default": "us" }, "searchLanguage": { "title": "Language", "type": "string", "description": "Language code for results (e.g. en, de, fr, ja, pt, es).", "default": "en" }, "timeFilter": { "title": "Time filter", "enum": [ "", "qdr:h", "qdr:d", "qdr:w", "qdr:m", "qdr:y" ], "type": "string", "description": "Filter results by time. Use presets or a custom date range like cdr:1,cd_min:01/01/2024,cd_max:06/30/2024", "default": "" }, "includeMerged": { "title": "Include merged results", "type": "boolean", "description": "Add a final dataset item combining all pages into one (page_number='all'). Useful for single-file exports.", "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 } } } } } } } } } } ```