# Google SERP API — $0.40 / 1K Requests (⌀ $0.04 / 1K Results) (`proxyscrape/proxyscrape-serp-api`) Actor Run Google organic searches at scale through the ProxyScrape SERP API. Returns parsed SERP JSON or raw HTML for each query. - **URL**: https://apify.com/proxyscrape/proxyscrape-serp-api.md - **Developed by:** [ProxyScrape](https://apify.com/proxyscrape) (community) - **Categories:** SEO tools, AI, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.40 / 1,000 requests 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 API — $0.40 / 1K Requests (⌀ $0.04 / 1K Results) Scrape Google search results at scale, fast and cheap, with zero unblocking headaches. This actor wraps the [ProxyScrape SERP API](https://proxyscrape.com/products/serp-api) and streams parsed JSON (or raw HTML) results straight into your Apify dataset. > ⚠️ **Unofficial.** This actor is an independent tool built by ProxyScrape. It is **not affiliated with, endorsed by, or sponsored by Google LLC**. "Google" is a trademark of Google LLC. ### 💰 Pricing **$0.40 per 1,000 requests** — that's roughly **$0.04 per 1,000 results** on average, since Google returns ~10 organic results per page. You're only charged for **successful** responses. Failed requests, timeouts, and 4xx/5xx errors are free. | Volume | Cost | |---|---| | 1,000 requests (~10,000 results) | $0.40 | | 10,000 requests (~100,000 results) | $4.00 | | 100,000 requests (~1,000,000 results) | $40.00 | ### ✨ Why this actor - **Cheap.** ~$0.04 / 1,000 results is among the lowest SERP prices on the marketplace. - **Fast.** Configurable concurrency (default 10, up to 100 in parallel) with a single shared HTTP/2 connection pool. - **Reliable.** Powered by ProxyScrape's residential proxy network — no CAPTCHAs, no IP bans. - **Flexible.** Parsed JSON for quick integration, or raw HTML if you want to parse it yourself. - **Geo + language targeting.** Any combination of `gl` (country) and `hl` (language) Google supports. - **Pay only for success.** Errors and retries are on us. ### 🔧 Input | Field | Type | Required | Description | |---|---|---|---| | `queries` | string[] | yes | Search queries (one per item). | | `gl` | string | no | Country code, default `us` (e.g. `us`, `gb`, `de`, `jp`). | | `hl` | string | no | UI language code, default `en`. | | `start` | int | no | Pagination offset, default `0` (0 = page 1, 10 = page 2, …). | | `rawHtml` | bool | no | Return raw Google HTML instead of parsed JSON. | | `concurrency` | int | no | Concurrent requests, default `10`, max `100`. | | `extraParams` | object | no | Extra query-string params forwarded to the SERP API. | #### Example input ```json { "queries": ["best running shoes", "claude code", "apify serp scraper"], "gl": "us", "hl": "en", "start": 0, "concurrency": 10 } ```` ### 📤 Output One dataset item per query: ```json { "query": "best running shoes", "gl": "us", "hl": "en", "start": 0, "status": 200, "result": { "organic_results": [ {"title": "...", "link": "https://...", "snippet": "..."} ], "ads": [], "knowledge_graph": {}, "related_searches": [] } } ``` When `rawHtml: true`, the `result` field contains the raw Google HTML string instead. ### 🚀 Use cases - **SEO monitoring** — track keyword rankings across countries and devices. - **Competitive intelligence** — see who's ranking and advertising for terms you care about. - **Lead generation** — extract business listings, knowledge panels, and "people also ask" results. - **Market research** — pull related searches and trending queries at scale. - **AI / RAG pipelines** — feed fresh, geo-targeted search results into your LLM workflows. ### 🛠 Local development ```bash pip install apify-cli export PROXYSCRAPE_USERNAME=... ## publisher only export PROXYSCRAPE_PASSWORD=... ## publisher only apify run ``` ### 📞 Support Issues, feature requests, or custom integrations? Reach out via our [contact page](https://proxyscrape.com/contact) or chat with us live on [proxyscrape.com](https://proxyscrape.com/). # Actor input Schema ## `queries` (type: `array`): One query per item. Each query is sent to the ProxyScrape SERP API. ## `gl` (type: `string`): Two-letter country code (e.g. us, gb, de). ## `hl` (type: `string`): Two-letter language code (e.g. en, fr, es). ## `start` (type: `integer`): Pagination offset. 0 = first page, 10 = second page, etc. ## `rawHtml` (type: `boolean`): If checked, returns raw Google HTML instead of parsed JSON. ## `concurrency` (type: `integer`): Number of queries to run in parallel. ## `extraParams` (type: `object`): Additional query-string params forwarded to the SERP API (e.g. {"num": 20, "safe": "off"}). ## Actor input object example ```json { "queries": [ "best running shoes", "claude code" ], "gl": "us", "hl": "en", "start": 0, "rawHtml": false, "concurrency": 10, "extraParams": {} } ``` # 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", "claude code" ] }; // Run the Actor and wait for it to finish const run = await client.actor("proxyscrape/proxyscrape-serp-api").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", "claude code", ] } # Run the Actor and wait for it to finish run = client.actor("proxyscrape/proxyscrape-serp-api").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", "claude code" ] }' | apify call proxyscrape/proxyscrape-serp-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=proxyscrape/proxyscrape-serp-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google SERP API — $0.40 / 1K Requests (⌀ $0.04 / 1K Results)", "description": "Run Google organic searches at scale through the ProxyScrape SERP API. Returns parsed SERP JSON or raw HTML for each query.", "version": "0.1", "x-build-id": "M6MFuHbVSfebVYcrg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/proxyscrape~proxyscrape-serp-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-proxyscrape-proxyscrape-serp-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/proxyscrape~proxyscrape-serp-api/runs": { "post": { "operationId": "runs-sync-proxyscrape-proxyscrape-serp-api", "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/proxyscrape~proxyscrape-serp-api/run-sync": { "post": { "operationId": "run-sync-proxyscrape-proxyscrape-serp-api", "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", "minItems": 1, "type": "array", "description": "One query per item. Each query is sent to the ProxyScrape SERP API.", "items": { "type": "string" } }, "gl": { "title": "Country (gl)", "type": "string", "description": "Two-letter country code (e.g. us, gb, de).", "default": "us" }, "hl": { "title": "Language (hl)", "type": "string", "description": "Two-letter language code (e.g. en, fr, es).", "default": "en" }, "start": { "title": "Result offset (start)", "minimum": 0, "type": "integer", "description": "Pagination offset. 0 = first page, 10 = second page, etc.", "default": 0 }, "rawHtml": { "title": "Return raw HTML", "type": "boolean", "description": "If checked, returns raw Google HTML instead of parsed JSON.", "default": false }, "concurrency": { "title": "Concurrent requests", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of queries to run in parallel.", "default": 10 }, "extraParams": { "title": "Extra query parameters", "type": "object", "description": "Additional query-string params forwarded to the SERP API (e.g. {\"num\": 20, \"safe\": \"off\"}).", "default": {} } } }, "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 } } } } } } } } } } ```