# Export Google Trends for 100 keywords in one run **Use case:** Runs this Actor on 100 sample keywords with comparison off, so each keyword gets its own 0 to 100 scale, for worldwide interest over the past 12 months. A test run completed all 100 and returned 5,300 rows; counts vary. Billed per result row plus an Actor Start fee. Uses the RESIDENTIAL proxy, which bills by traffic and needs access on your account. Set a spending limit. ## Input ```json { "mode": "keywords", "keywords": [ "air fryer", "espresso machine", "running shoes", "yoga mat", "electric bike", "standing desk", "robot vacuum", "noise cancelling headphones", "smart watch", "mechanical keyboard", "gaming chair", "coffee grinder", "rice cooker", "stand mixer", "blender", "toaster oven", "dishwasher", "washing machine", "refrigerator", "microwave", "air purifier", "humidifier", "dehumidifier", "space heater", "ceiling fan", "electric toothbrush", "hair dryer", "curling iron", "beard trimmer", "sunscreen", "moisturizer", "shampoo", "conditioner", "lip balm", "perfume", "sneakers", "hiking boots", "rain jacket", "winter coat", "backpack", "suitcase", "sunglasses", "wallet", "umbrella", "water bottle", "camping tent", "sleeping bag", "fishing rod", "golf clubs", "tennis racket", "basketball", "soccer ball", "skateboard", "snowboard", "kayak", "treadmill", "dumbbells", "protein powder", "green tea", "cold brew", "oat milk", "almond butter", "sourdough bread", "pizza oven", "cast iron skillet", "chef knife", "cutting board", "slow cooker", "pressure cooker", "waffle maker", "houseplants", "garden hose", "lawn mower", "leaf blower", "snow blower", "power drill", "tool box", "paint roller", "light bulbs", "smart thermostat", "doorbell camera", "wifi router", "laptop", "tablet", "phone case", "wireless charger", "external hard drive", "printer", "monitor", "webcam", "board games", "jigsaw puzzle", "dog food", "cat litter", "bird feeder", "baby stroller", "car seat", "crib", "diapers", "birthday cake" ], "startUrls": [], "geo": "US", "timeRange": "today 12-m", "dataTypes": [ "interest_over_time" ], "compareKeywords": false, "includeKeywordInsights": false, "searchType": "", "category": "0", "language": "en-US", "timezoneOffsetMinutes": 0, "trendingHours": "24", "trendStatus": "all", "maxRunSeconds": 3600, "maxRetriesPerRequest": 8, "rotateAfterRequests": 24, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` ## Output ```json { "keyword": { "label": "Keyword" }, "term": { "label": "Trending term" }, "dataType": { "label": "Dataset" }, "date": { "label": "Date" }, "dateLabel": { "label": "Date (Google label)" }, "geoName": { "label": "Region" }, "geoCode": { "label": "Region code" }, "query": { "label": "Related query" }, "rankType": { "label": "Top / Rising" }, "value": { "label": "Value" }, "formattedValue": { "label": "Formatted" }, "valueScale": { "label": "Scale" }, "searchVolume": { "label": "Search volume" }, "growthPercent": { "label": "Growth %" }, "isActive": { "label": "Active" }, "breakdownQueries": { "label": "Breakdown queries" }, "trendsUrl": { "label": "Trends URL" }, "link": { "label": "Link" }, "hasData": { "label": "Has data" }, "geo": { "label": "Geo" }, "timeRange": { "label": "Time range" }, "categoryIds": { "label": "Category IDs" }, "comparisonGroup": { "label": "Comparison group" }, "startTimestamp": { "label": "Started (epoch)" }, "endTimestamp": { "label": "Ended (epoch)" }, "timestamp": { "label": "Epoch" }, "newsArticleCount": { "label": "News articles" }, "hours": { "label": "Window (h)" } } ``` ## How it works ### 1. Sign up on Apify or log in The Google Trends Scraper | Keyword Data API Actor is ready to run with the inputs already set for "Export Google Trends for 100 keywords in one run". [Sign up or log in](https://console.apify.com/create-task-from-example/4Kc875kG7rWCogfXv) and you'll land in Apify Console with a copy of this exact task. ### 2. Start the "Export Google Trends for 100 keywords in one run" task The Google Trends Scraper | Keyword Data API Actor will start running based on the input automatically. You can also change all the input fields, like mode, search terms, and more, to match your specific use case. ### 3. Receive the "Export Google Trends for 100 keywords in one run" output Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as keyword, trending term, dataset, and more. ### 4. Integrate into your workflow The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Export Google Trends for 100 keywords in one run" task via API](https://apify.com/danthedataman/google-trends-data-api.md). ## About this Actor This example demonstrates how to use [Google Trends Scraper | Keyword Data API](https://apify.com/danthedataman/google-trends-data-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/danthedataman/google-trends-data-api.md) to learn more, explore other use cases, and run it yourself. ## How to integrate an Actor? This Task's input is already configured above. Use it as-is rather than inventing a new one. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/danthedataman/google-trends-data-api.md Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).