# Give Me Trends: Extract Keywords & Trending Now (`abrahan_dev/give-me-trends`) Actor Compare keywords, discover related searches, track regional interest, and monitor Trending Now data from Google Trends. - **URL**: https://apify.com/abrahan\_dev/give-me-trends.md - **Developed by:** [Abrahan Gil](https://apify.com/abrahan_dev) (community) - **Categories:** SEO tools, News - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.14 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ![Give Me Trends - Google Trends scraper for keyword research, SEO, and market intelligence](https://i.ibb.co/hRhmb6qz/banner-2.png) ## Google Trends Scraper for SEO & Keyword Research Discover what people are searching for, compare keyword demand, find rising searches, and monitor trending topics with **Give Me Trends**. This Google Trends scraper turns search-interest data into clean, exportable results for SEO specialists, marketers, content creators, ecommerce teams, and market researchers. Enter your keywords and target countries, click **Start**, and use the results to make better content, product, and marketing decisions. ### Find SEO opportunities before your competitors Use Give Me Trends to: - discover **rising keywords** and breakout searches - compare the popularity of keywords, brands, products, or competitors - identify **seasonal SEO opportunities** - find related searches for new content ideas - discover where demand is strongest by country, region, or city - validate product and niche ideas before investing - monitor current Google **Trending Now** searches - build automated trend-monitoring workflows ### Google Trends data you can extract | Data | What it helps you discover | | --- | --- | | **Interest over time** | Keyword growth, decline, seasonality, and demand changes | | **Interest by region** | Countries, regions, and cities with the strongest interest | | **Related queries** | Top and rising searches connected to your keywords | | **Related topics** | Popular entities and topics associated with a search | | **Trending Now** | Current trending searches and estimated search volume | | **Keyword suggestions** | Google Trends terms and recognized topics | | **Keyword comparisons** | Relative popularity of up to 5 keywords | Analyze trends from Google Search, Images, News, YouTube, and Google Shopping. ### Popular use cases #### SEO keyword research Find rising search queries, compare keyword opportunities, and identify topics gaining momentum before creating content. #### Content strategy Build editorial calendars around seasonal demand, trending topics, and searches your audience already makes. #### Competitor and brand analysis Compare brand awareness and search interest across markets, time periods, and Google properties. #### Ecommerce product research Validate product demand, discover emerging categories, and identify the locations where interest is strongest. #### Market research Measure how consumer interest changes across countries and monitor new market opportunities. ### How to use Give Me Trends 1. Select **Analyze keywords**, **Trending Now**, or **Find topics**. 2. Add your keywords and target countries. 3. Choose the time range and data you want to collect. 4. Click **Start**. 5. Open the Dataset to review or export your results. Download results as JSON, CSV, Excel, XML, or HTML. You can also send them to Google Sheets, Make, Zapier, Slack, Airbyte, or your own application. ### Compare keywords for SEO Analyze up to 5 keywords together to see which term has stronger demand and how their popularity changes over time. ```json { "operation": "analyze", "keywords": ["email marketing", "marketing automation"], "geos": ["US"], "timeRange": "today 12-m", "interestOverTime": true, "interestByRegion": true, "relatedQueries": true, "relatedTopics": true } ```` This analysis can reveal: - which keyword receives more relative interest - whether demand is increasing or declining - seasonal peaks worth targeting - top and rising related searches - regions with the strongest audience interest ### Monitor Trending Now Track current trending searches across one or multiple countries. ```json { "operation": "trendingNow", "geos": ["US", "GB", "ES"], "trendingWindow": "24" } ``` Trending Now returns Google's current country feed. It is not filtered by the keywords field. ### Clean, analysis-ready results Every timeline point, region, related search, topic, suggestion, and trending search is returned as a separate Dataset row. This makes the data easy to: - filter and sort inside Apify - export to spreadsheets - visualize in dashboards - use in SEO reports - process through APIs and automations The Dataset includes dedicated views for **Time series** and **Related searches**. ### Pricing Give Me Trends uses pay-per-result pricing. ```text $0.20 per 1,000 results on the Free plan plus platform usage ``` Starter, Scale, and Business users receive discounted result pricing. One result represents one timeline point, region, related query, related topic, trending search, or keyword suggestion. ### Automate Google Trends monitoring Use Apify schedules and integrations to: - monitor important keywords every day or week - detect changes in brand or competitor interest - send new trending searches to Slack - update SEO dashboards automatically - export recurring reports to Google Sheets - trigger workflows when a run finishes ### Frequently asked questions #### What is Google Trends keyword research? Google Trends keyword research compares relative search interest over time. It helps identify rising topics, seasonal searches, regional demand, and changes in audience interest. #### Can I compare multiple keywords? Yes. You can compare up to 5 keywords in a single analysis. #### Can I research multiple countries? Yes. Add multiple country codes to collect results for every selected market. #### Does Google Trends provide exact search volume? Interest-over-time values are normalized from 0 to 100 and do not represent exact monthly search volume. Trending Now results may include estimated search volume when Google provides it. #### Can I find rising and breakout searches? Yes. Enable **Related queries** to collect top and rising searches associated with your keyword. #### Can I use this scraper for YouTube keyword research? Yes. Select YouTube as the Google property to analyze YouTube search interest. #### Can I schedule recurring trend reports? Yes. Apify schedules can run the Actor automatically, while integrations and webhooks can send the results to your preferred tools. #### Do I need a Google account or API key? No Google account or API key is required. #### Is Give Me Trends affiliated with Google? No. Give Me Trends is an independent tool and is not affiliated with or endorsed by Google. ### Support Need help with a keyword research workflow, country, or result? Open an issue from the Actor's **Issues** tab and include a non-sensitive input example. # Actor input Schema ## `operation` (type: `string`): Analyze keywords, monitor Trending Now, find Google Trends topics, or retrieve advanced Explore widgets. ## `keywords` (type: `array`): Add one keyword for autocomplete or up to 5 keywords to compare. Trending Now ignores keywords and returns all current trends for each selected country. ## `geos` (type: `array`): Add ISO country codes such as US, ES, GB, DE, or FR. The Actor creates one result for every country. ## `timeRange` (type: `string`): Period used by keyword analysis and Explore. ## `interestOverTime` (type: `boolean`): Return normalized timeline values and keyword comparisons. ## `interestByRegion` (type: `boolean`): Return relative keyword interest by geographic area. ## `relatedQueries` (type: `boolean`): Return top and rising searches related to each keyword. ## `relatedTopics` (type: `boolean`): Return top and rising topics related to each keyword. ## `property` (type: `string`): Google search surface used for keyword analysis. ## `resolution` (type: `string`): Geographic detail returned by Interest by region. ## `language` (type: `string`): Language used by Google Trends, for example en-US or es-ES. ## `trendingWindow` (type: `string`): Lookback window used by Trending Now. ## `category` (type: `integer`): Use 0 for all categories or enter a Google Trends numeric category ID. ## `proxy` (type: `object`): Adaptive mode starts without proxy and switches to Apify Residential Proxy only when Google blocks the session. ## `jobs` (type: `array`): Optional explicit jobs for API users. When provided, these jobs replace the simple fields above. ## `maxConcurrency` (type: `integer`): Maximum active jobs. The Actor automatically reduces concurrency if Google slows down or blocks requests. ## `includeRaw` (type: `boolean`): Include private response payloads for debugging and advanced processing. ## `timezone` (type: `integer`): Google Trends timezone offset. Keep 0 unless your integration requires another offset. ## Actor input object example ```json { "operation": "analyze", "keywords": [ "bitcoin" ], "geos": [ "US" ], "timeRange": "today 12-m", "interestOverTime": true, "interestByRegion": true, "relatedQueries": true, "relatedTopics": true, "property": "web", "resolution": "region", "language": "en-US", "trendingWindow": "24", "category": 0, "proxy": { "mode": "adaptive", "countryCode": "US" }, "jobs": [], "maxConcurrency": 8, "includeRaw": false, "timezone": 0 } ``` # Actor output Schema ## `results` (type: `string`): One flat dataset item per timeline point, region, related search, topic, trend, or suggestion. ## `summary` (type: `string`): Job counts, flat result count, request counts, retries, proxy usage, and duration. # 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": [ "bitcoin" ] }; // Run the Actor and wait for it to finish const run = await client.actor("abrahan_dev/give-me-trends").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": ["bitcoin"] } # Run the Actor and wait for it to finish run = client.actor("abrahan_dev/give-me-trends").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": [ "bitcoin" ] }' | apify call abrahan_dev/give-me-trends --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abrahan_dev/give-me-trends", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Give Me Trends: Extract Keywords & Trending Now", "description": "Compare keywords, discover related searches, track regional interest, and monitor Trending Now data from Google Trends.", "version": "0.1", "x-build-id": "W30cg9oQOo1qLVpa0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abrahan_dev~give-me-trends/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abrahan_dev-give-me-trends", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/abrahan_dev~give-me-trends/runs": { "post": { "operationId": "runs-sync-abrahan_dev-give-me-trends", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/abrahan_dev~give-me-trends/run-sync": { "post": { "operationId": "run-sync-abrahan_dev-give-me-trends", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "operation": { "title": "What do you want to extract?", "enum": [ "analyze", "trendingNow", "autocomplete", "explore" ], "type": "string", "description": "Analyze keywords, monitor Trending Now, find Google Trends topics, or retrieve advanced Explore widgets.", "default": "analyze" }, "keywords": { "title": "Keywords", "minItems": 0, "maxItems": 5, "type": "array", "description": "Add one keyword for autocomplete or up to 5 keywords to compare. Trending Now ignores keywords and returns all current trends for each selected country.", "items": { "type": "string", "minLength": 1 } }, "geos": { "title": "Countries", "minItems": 1, "maxItems": 50, "type": "array", "description": "Add ISO country codes such as US, ES, GB, DE, or FR. The Actor creates one result for every country.", "items": { "type": "string", "pattern": "^[A-Za-z]{2}$" }, "default": [ "US" ] }, "timeRange": { "title": "Time range", "enum": [ "now 1-H", "now 4-H", "now 1-d", "now 7-d", "today 1-m", "today 3-m", "today 12-m", "today 5-y", "all" ], "type": "string", "description": "Period used by keyword analysis and Explore.", "default": "today 12-m" }, "interestOverTime": { "title": "Interest over time", "type": "boolean", "description": "Return normalized timeline values and keyword comparisons.", "default": true }, "interestByRegion": { "title": "Interest by region", "type": "boolean", "description": "Return relative keyword interest by geographic area.", "default": true }, "relatedQueries": { "title": "Related queries", "type": "boolean", "description": "Return top and rising searches related to each keyword.", "default": true }, "relatedTopics": { "title": "Related topics", "type": "boolean", "description": "Return top and rising topics related to each keyword.", "default": true }, "property": { "title": "Google property", "enum": [ "web", "images", "news", "youtube", "shopping" ], "type": "string", "description": "Google search surface used for keyword analysis.", "default": "web" }, "resolution": { "title": "Regional detail", "enum": [ "country", "region", "city", "dma" ], "type": "string", "description": "Geographic detail returned by Interest by region.", "default": "region" }, "language": { "title": "Language", "type": "string", "description": "Language used by Google Trends, for example en-US or es-ES.", "default": "en-US" }, "trendingWindow": { "title": "Trending Now period", "enum": [ "4", "24", "48", "168" ], "type": "string", "description": "Lookback window used by Trending Now.", "default": "24" }, "category": { "title": "Google Trends category ID", "minimum": 0, "type": "integer", "description": "Use 0 for all categories or enter a Google Trends numeric category ID.", "default": 0 }, "proxy": { "title": "Residential proxy fallback", "required": [ "mode", "countryCode" ], "type": "object", "description": "Adaptive mode starts without proxy and switches to Apify Residential Proxy only when Google blocks the session.", "properties": { "mode": { "title": "Proxy mode", "type": "string", "description": "Choose when Residential Proxy should be used.", "editor": "select", "enum": [ "adaptive", "always", "direct" ], "enumTitles": [ "Adaptive fallback (recommended)", "Always use Residential Proxy", "Direct only" ], "default": "adaptive" }, "countryCode": { "title": "Proxy country", "type": "string", "description": "Country used when Residential Proxy is activated.", "editor": "select", "enumSuggestedValues": [ "US", "GB", "ES", "DE", "FR", "IT", "CA", "AU", "BR", "MX", "IN", "JP" ], "enumTitles": [ "United States", "United Kingdom", "Spain", "Germany", "France", "Italy", "Canada", "Australia", "Brazil", "Mexico", "India", "Japan" ], "default": "US" } }, "default": { "mode": "adaptive", "countryCode": "US" }, "additionalProperties": false }, "jobs": { "title": "Advanced jobs", "type": "array", "description": "Optional explicit jobs for API users. When provided, these jobs replace the simple fields above.", "items": { "type": "object" }, "default": [] }, "maxConcurrency": { "title": "Maximum concurrency", "minimum": 1, "maximum": 64, "type": "integer", "description": "Maximum active jobs. The Actor automatically reduces concurrency if Google slows down or blocks requests.", "default": 8 }, "includeRaw": { "title": "Include raw Google payloads", "type": "boolean", "description": "Include private response payloads for debugging and advanced processing.", "default": false }, "timezone": { "title": "Timezone offset in minutes", "minimum": -840, "maximum": 840, "type": "integer", "description": "Google Trends timezone offset. Keep 0 unless your integration requires another offset.", "default": 0 } } }, "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 } } } } } } } } } } ```