# Google Trends ๐Ÿ“ˆ $0.60/1K Scraper (Keywords, Geo & Trending) (`azzouzana/google-trends-scraper`) Actor From $0.60/1K ๐Ÿ’ฐ Paste Explore or Trending URLsโ€”or a keyword โšก Interest over time, geo heatmaps, related queries, Trending Now + RSS fallback, Web/YouTube/News/Shopping/Images, flat CSV-ready rows. Multi-keyword compare, retries built in. Export JSON/CSV/Excel/API. Start now! ๐Ÿš€ - **URL**: https://apify.com/azzouzana/google-trends-scraper.md - **Developed by:** [Azzouzana](https://apify.com/azzouzana) (community) - **Categories:** SEO tools, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.60 / 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. 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 examples already wired to this Actor's own input schema, see the [API](#api) section below. 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`). # README ## Google Trends Scraper โ€” Keywords, Geo Heatmaps & Trending Now Manually copying Google Trends charts into spreadsheets is slow and breaks the moment you need more than one keyword or region. This actor turns Explore URLs, Trending Now links, or plain keywords into clean dataset rows in seconds. ### Engineering Excellence & Reliability ๐Ÿš€ - **One input, many modes:** Paste an Explore URL, a Trending Now URL, or type a keyword โ€” we detect what you need and pull the right data. - **All the widgets marketers use:** Interest over time, interest by subregion, related queries, and (when available) related topics โ€” plus live Trending Now with RSS news fallback. - **Multi-platform search:** Web, YouTube, News, Google Shopping, and Images โ€” same workflow as the Trends UI. - **Spreadsheet-ready by default:** Flat rows land in JSON, CSV, or Excel without nested `[object Object]` cells. Legacy nested JSON is one toggle away. - **Built for automation:** Compare up to five keywords, cap output with **maxItems**, and schedule runs on Apify without babysitting charts. - **We bypass the website limitation and go beyond it.** Duplicate rows are skipped. ### ๐Ÿ› ๏ธ How to Play | Field | Type | Description | |-------|------|-------------| | `startUrl` | String | **(Required)** Explore URL, Trending URL (`trends.google.com/trending`), or a keyword like `chatgpt`. | | `maxItems` | Number | Max dataset rows (default 500). Free tier capped at 5 rows per run. | | `fetchFullDetails` | Boolean | **Default `true`.** Geo map + related queries/topics. Set `false` for timeline only. | | `keywords` | List | Optional override โ€” up to 5 terms. | | `geo` | String | Country/region code (e.g. `US`, `GB`). | | `timeRange` | String | e.g. `today 12-m`, `now 7-d`. | | `searchProperty` | String | `web`, `youtube`, `news`, `shopping`, or `images`. | | `scrapeMode` | String | `auto`, `explore`, `trending`, or `both`. | #### Example 1: Full Explore report (default) ```json { "startUrl": "https://trends.google.com/trends/explore?geo=US&q=chatgpt", "maxItems": 100, "fetchFullDetails": true } ``` #### Example 2: Full SEO widget pack ```json { "startUrl": "https://trends.google.com/trends/explore?geo=US&q=electric%20vehicles", "maxItems": 500, "fetchFullDetails": true } ``` #### Example 3: Trending Now (United States, 24h) ```json { "startUrl": "https://trends.google.com/trending?geo=US&hl=en&hours=24", "scrapeMode": "trending", "maxItems": 50, "includeTrendArticles": true } ``` ### ๐Ÿ†“ Free tier limitations - **Sample data:** up to **5 rows** per run. - **Daily cap:** **5 runs** per calendar day (UTC). - **Between runs:** at least **60 seconds** before the next start. Upgrade for full volume: [Apify pricing](https://apify.com/pricing?fpr=cbgdsf). ### ๐Ÿ“ฆ Whatโ€™s in the Box? One complete dataset item from a live Explore run (`fetchFullDetails: true`): ````json { "scrapeType": "explore_report", "inputUrlOrTerm": "https://trends.google.com/trends/explore?geo=US&q=chatgpt", "searchTerm": "chatgpt", "searchTerms": [ "chatgpt" ], "startUrl": "https://trends.google.com/trends/explore?geo=US&q=chatgpt", "geo": "US", "timeRange": "today 12-m", "searchProperty": "web", "category": 0, "interestOverTime_timelineData": [ { "time": "1759622400", "formattedTime": "Oct 5โ€‰โ€“โ€‰11, 2025", "formattedAxisTime": "Oct 5, 2025", "value": [ 96 ], "hasData": [ true ], "formattedValue": [ "96" ] }, { "time": "1760227200", "formattedTime": "Oct 12โ€‰โ€“โ€‰18, 2025", "formattedAxisTime": "Oct 12, 2025", "value": [ 91 ], "hasData": [ true ], "formattedValue": [ "91" ] }, { "time": "1760832000", "formattedTime": "Oct 19โ€‰โ€“โ€‰25, 2025", "formattedAxisTime": "Oct 19, 2025", "value": [ 97 ], "hasData": [ true ], "formattedValue": [ "97" ] }, { "time": "1761436800", "formattedTime": "Oct 26โ€‰โ€“โ€‰Nov 1, 2025", "formattedAxisTime": "Oct 26, 2025", "value": [ 91 ], "hasData": [ true ], "formattedValue": [ "91" ] }, { "time": "1762041600", "formattedTime": "Nov 2โ€‰โ€“โ€‰8, 2025", "formattedAxisTime": "Nov 2, 2025", "value": [ 100 ], "hasData": [ true ], "formattedValue": [ "100" ] }, { "time": "1762646400", "formattedTime": "Nov 9โ€‰โ€“โ€‰15, 2025", "formattedAxisTime": "Nov 9, 2025", "value": [ 86 ], "hasData": [ true ], "formattedValue": [ "86" ] }, { "time": "1763251200", "formattedTime": "Nov 16โ€‰โ€“โ€‰22, 2025", "formattedAxisTime": "Nov 16, 2025", "value": [ 90 ], "hasData": [ true ], "formattedValue": [ "90" ] }, { "time": "1763856000", "formattedTime": "Nov 23โ€‰โ€“โ€‰29, 2025", "formattedAxisTime": "Nov 23, 2025", "value": [ 61 ], "hasData": [ true ], "formattedValue": [ "61" ] }, { "time": "1764460800", "formattedTime": "Nov 30โ€‰โ€“โ€‰Dec 6, 2025", "formattedAxisTime": "Nov 30, 2025", "value": [ 82 ], "hasData": [ true ], "formattedValue": [ "82" ] }, { "time": "1765065600", "formattedTime": "Dec 7โ€‰โ€“โ€‰13, 2025", "formattedAxisTime": "Dec 7, 2025", "value": [ 83 ], "hasData": [ true ], "formattedValue": [ "83" ] }, { "time": "1765670400", "formattedTime": "Dec 14โ€‰โ€“โ€‰20, 2025", "formattedAxisTime": "Dec 14, 2025", "value": [ 73 ], "hasData": [ true ], "formattedValue": [ "73" ] }, { "time": "1766275200", "formattedTime": "Dec 21โ€‰โ€“โ€‰27, 2025", "formattedAxisTime": "Dec 21, 2025", "value": [ 58 ], "hasData": [ true ], "formattedValue": [ "58" ] }, { "time": "1766880000", "formattedTime": "Dec 28, 2025โ€‰โ€“โ€‰Jan 3, 2026", "formattedAxisTime": "Dec 28, 2025", "value": [ 55 ], "hasData": [ true ], "formattedValue": [ "55" ] }, { "time": "1767484800", "formattedTime": "Jan 4โ€‰โ€“โ€‰10, 2026", "formattedAxisTime": "Jan 4, 2026", "value": [ 70 ], "hasData": [ true ], "formattedValue": [ "70" ] }, { "time": "1768089600", "formattedTime": "Jan 11โ€‰โ€“โ€‰17, 2026", "formattedAxisTime": "Jan 11, 2026", "value": [ 78 ], "hasData": [ true ], "formattedValue": [ "78" ] }, { "time": "1768694400", "formattedTime": "Jan 18โ€‰โ€“โ€‰24, 2026", "formattedAxisTime": "Jan 18, 2026", "value": [ 78 ], "hasData": [ true ], "formattedValue": [ "78" ] }, { "time": "1769299200", "formattedTime": "Jan 25โ€‰โ€“โ€‰31, 2026", "formattedAxisTime": "Jan 25, 2026", "value": [ 78 ], "hasData": [ true ], "formattedValue": [ "78" ] }, { "time": "1769904000", "formattedTime": "Feb 1โ€‰โ€“โ€‰7, 2026", "formattedAxisTime": "Feb 1, 2026", "value": [ 82 ], "hasData": [ true ], "formattedValue": [ "82" ] }, { "time": "1770508800", "formattedTime": "Feb 8โ€‰โ€“โ€‰14, 2026", "formattedAxisTime": "Feb 8, 2026", "value": [ 68 ], "hasData": [ true ], "formattedValue": [ "68" ] }, { "time": "1771113600", "formattedTime": "Feb 15โ€‰โ€“โ€‰21, 2026", "formattedAxisTime": "Feb 15, 2026", "value": [ 72 ], "hasData": [ true ], "formattedValue": [ "72" ] }, { "time": "1771718400", "formattedTime": "Feb 22โ€‰โ€“โ€‰28, 2026", "formattedAxisTime": "Feb 22, 2026", "value": [ 75 ], "hasData": [ true ], "formattedValue": [ "75" ] }, { "time": "1772323200", "formattedTime": "Mar 1โ€‰โ€“โ€‰7, 2026", "formattedAxisTime": "Mar 1, 2026", "value": [ 83 ], "hasData": [ true ], "formattedValue": [ "83" ] }, { "time": "1772928000", "formattedTime": "Mar 8โ€‰โ€“โ€‰14, 2026", "formattedAxisTime": "Mar 8, 2026", "value": [ 77 ], "hasData": [ true ], "formattedValue": [ "77" ] }, { "time": "1773532800", "formattedTime": "Mar 15โ€‰โ€“โ€‰21, 2026", "formattedAxisTime": "Mar 15, 2026", "value": [ 69 ], "hasData": [ true ], "formattedValue": [ "69" ] }, { "time": "1774137600", "formattedTime": "Mar 22โ€‰โ€“โ€‰28, 2026", "formattedAxisTime": "Mar 22, 2026", "value": [ 83 ], "hasData": [ true ], "formattedValue": [ "83" ] }, { "time": "1774742400", "formattedTime": "Mar 29โ€‰โ€“โ€‰Apr 4, 2026", "formattedAxisTime": "Mar 29, 2026", "value": [ 76 ], "hasData": [ true ], "formattedValue": [ "76" ] }, { "time": "1775347200", "formattedTime": "Apr 5โ€‰โ€“โ€‰11, 2026", "formattedAxisTime": "Apr 5, 2026", "value": [ 74 ], "hasData": [ true ], "formattedValue": [ "74" ] }, { "time": "1775952000", "formattedTime": "Apr 12โ€‰โ€“โ€‰18, 2026", "formattedAxisTime": "Apr 12, 2026", "value": [ 79 ], "hasData": [ true ], "formattedValue": [ "79" ] }, { "time": "1776556800", "formattedTime": "Apr 19โ€‰โ€“โ€‰25, 2026", "formattedAxisTime": "Apr 19, 2026", "value": [ 74 ], "hasData": [ true ], "formattedValue": [ "74" ] }, { "time": "1777161600", "formattedTime": "Apr 26โ€‰โ€“โ€‰May 2, 2026", "formattedAxisTime": "Apr 26, 2026", "value": [ 74 ], "hasData": [ true ], "formattedValue": [ "74" ] }, { "time": "1777766400", "formattedTime": "May 3โ€‰โ€“โ€‰9, 2026", "formattedAxisTime": "May 3, 2026", "value": [ 73 ], "hasData": [ true ], "formattedValue": [ "73" ] }, { "time": "1778371200", "formattedTime": "May 10โ€‰โ€“โ€‰16, 2026", "formattedAxisTime": "May 10, 2026", "value": [ 72 ], "hasData": [ true ], "formattedValue": [ "72" ] }, { "time": "1778976000", "formattedTime": "May 17โ€‰โ€“โ€‰23, 2026", "formattedAxisTime": "May 17, 2026", "value": [ 72 ], "hasData": [ true ], "formattedValue": [ "72" ] }, { "time": "1779580800", "formattedTime": "May 24โ€‰โ€“โ€‰30, 2026", "formattedAxisTime": "May 24, 2026", "value": [ 70 ], "hasData": [ true ], "formattedValue": [ "70" ] }, { "time": "1780185600", "formattedTime": "May 31โ€‰โ€“โ€‰Jun 6, 2026", "formattedAxisTime": "May 31, 2026", "value": [ 73 ], "hasData": [ true ], "formattedValue": [ "73" ] }, { "time": "1780790400", "formattedTime": "Jun 7โ€‰โ€“โ€‰13, 2026", "formattedAxisTime": "Jun 7, 2026", "value": [ 73 ], "hasData": [ true ], "formattedValue": [ "73" ] }, { "time": "1781395200", "formattedTime": "Jun 14โ€‰โ€“โ€‰20, 2026", "formattedAxisTime": "Jun 14, 2026", "value": [ 67 ], "hasData": [ true ], "formattedValue": [ "67" ] }, { "time": "1782000000", "formattedTime": "Jun 21โ€‰โ€“โ€‰27, 2026", "formattedAxisTime": "Jun 21, 2026", "value": [ 70 ], "hasData": [ true ], "formattedValue": [ "70" ] }, { "time": "1782604800", "formattedTime": "Jun 28โ€‰โ€“โ€‰Jul 4, 2026", "formattedAxisTime": "Jun 28, 2026", "value": [ 64 ], "hasData": [ true ], "formattedValue": [ "64" ] }, { "time": "1783209600", "formattedTime": "Jul 5โ€‰โ€“โ€‰11, 2026", "formattedAxisTime": "Jul 5, 2026", "value": [ 66 ], "hasData": [ true ], "formattedValue": [ "66" ] }, { "time": "1783814400", "formattedTime": "Jul 12โ€‰โ€“โ€‰18, 2026", "formattedAxisTime": "Jul 12, 2026", "value": [ 65 ], "hasData": [ true ], "formattedValue": [ "65" ] }, { "time": "1784419200", "formattedTime": "Jul 19โ€‰โ€“โ€‰25, 2026", "formattedAxisTime": "Jul 19, 2026", "value": [ 67 ], "hasData": [ true ], "formattedValue": [ "67" ] }, { "time": "1785024000", "formattedTime": "Jul 26โ€‰โ€“โ€‰Aug 1, 2026", "formattedAxisTime": "Jul 26, 2026", "value": [ 65 ], "hasData": [ true ], "formattedValue": [ "65" ] }, { "time": "1785628800", "formattedTime": "Aug 2โ€‰โ€“โ€‰8, 2026", "formattedAxisTime": "Aug 2, 2026", "value": [ 65 ], "hasData": [ true ], "formattedValue": [ "65" ] }, { "time": "1786233600", "formattedTime": "Aug 9โ€‰โ€“โ€‰15, 2026", "formattedAxisTime": "Aug 9, 2026", "value": [ 68 ], "hasData": [ true ], "formattedValue": [ "68" ] }, { "time": "1786838400", "formattedTime": "Aug 16โ€‰โ€“โ€‰22, 2026", "formattedAxisTime": "Aug 16, 2026", "value": [ 66 ], "hasData": [ true ], "formattedValue": [ "66" ] }, { "time": "1787443200", "formattedTime": "Aug 23โ€‰โ€“โ€‰29, 2026", "formattedAxisTime": "Aug 23, 2026", "value": [ 73 ], "hasData": [ true ], "formattedValue": [ "73" ] }, { "time": "1788048000", "formattedTime": "Aug 30โ€‰โ€“โ€‰Sep 5, 2026", "formattedAxisTime": "Aug 30, 2026", "value": [ 80 ], "hasData": [ true ], "formattedValue": [ "80" ] }, { "time": "1788652800", "formattedTime": "Sep 6โ€‰โ€“โ€‰12, 2026", "formattedAxisTime": "Sep 6, 2026", "value": [ 77 ], "hasData": [ true ], "formattedValue": [ "77" ] }, { "time": "1789257600", "formattedTime": "Sep 13โ€‰โ€“โ€‰19, 2026", "formattedAxisTime": "Sep 13, 2026", "value": [ 65 ], "hasData": [ true ], "formattedValue": [ "65" ] }, { "time": "1789862400", "formattedTime": "Sep 20โ€‰โ€“โ€‰26, 2026", "formattedAxisTime": "Sep 20, 2026", "value": [ 70 ], "hasData": [ true ], "formattedValue": [ "70" ] }, { "time": "1790467200", "formattedTime": "Sep 27โ€‰โ€“โ€‰Oct 3, 2026", "formattedAxisTime": "Sep 27, 2026", "value": [ 72 ], "hasData": [ true ], "formattedValue": [ "72" ] }, { "time": "1791072000", "formattedTime": "Oct 4โ€‰โ€“โ€‰10, 2026", "formattedAxisTime": "Oct 4, 2026", "value": [ 80 ], "hasData": [ true ], "formattedValue": [ "80" ], "isPartial": true } ], "interestOverTime_averages": [], "interestBySubregion_geoMapData": [ { "geoCode": "US-CA", "geoName": "California", "value": [ 100 ], "formattedValue": [ "100" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-DC", "geoName": "District of Columbia", "value": [ 90 ], "formattedValue": [ "90" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-NJ", "geoName": "New Jersey", "value": [ 89 ], "formattedValue": [ "89" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-WY", "geoName": "Wyoming", "value": [ 89 ], "formattedValue": [ "89" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-FL", "geoName": "Florida", "value": [ 85 ], "formattedValue": [ "85" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-GA", "geoName": "Georgia", "value": [ 84 ], "formattedValue": [ "84" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-AZ", "geoName": "Arizona", "value": [ 83 ], "formattedValue": [ "83" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-TX", "geoName": "Texas", "value": [ 82 ], "formattedValue": [ "82" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-VA", "geoName": "Virginia", "value": [ 82 ], "formattedValue": [ "82" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-MD", "geoName": "Maryland", "value": [ 81 ], "formattedValue": [ "81" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-NY", "geoName": "New York", "value": [ 79 ], "formattedValue": [ "79" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-MA", "geoName": "Massachusetts", "value": [ 77 ], "formattedValue": [ "77" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-DE", "geoName": "Delaware", "value": [ 76 ], "formattedValue": [ "76" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-CT", "geoName": "Connecticut", "value": [ 75 ], "formattedValue": [ "75" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-MS", "geoName": "Mississippi", "value": [ 75 ], "formattedValue": [ "75" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-WA", "geoName": "Washington", "value": [ 73 ], "formattedValue": [ "73" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-UT", "geoName": "Utah", "value": [ 72 ], "formattedValue": [ "72" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-NC", "geoName": "North Carolina", "value": [ 72 ], "formattedValue": [ "72" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-ID", "geoName": "Idaho", "value": [ 71 ], "formattedValue": [ "71" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-RI", "geoName": "Rhode Island", "value": [ 71 ], "formattedValue": [ "71" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-NV", "geoName": "Nevada", "value": [ 70 ], "formattedValue": [ "70" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-AL", "geoName": "Alabama", "value": [ 69 ], "formattedValue": [ "69" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-OK", "geoName": "Oklahoma", "value": [ 69 ], "formattedValue": [ "69" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-AR", "geoName": "Arkansas", "value": [ 67 ], "formattedValue": [ "67" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-LA", "geoName": "Louisiana", "value": [ 67 ], "formattedValue": [ "67" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-IL", "geoName": "Illinois", "value": [ 67 ], "formattedValue": [ "67" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-MN", "geoName": "Minnesota", "value": [ 66 ], "formattedValue": [ "66" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-SC", "geoName": "South Carolina", "value": [ 66 ], "formattedValue": [ "66" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-KS", "geoName": "Kansas", "value": [ 66 ], "formattedValue": [ "66" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-PA", "geoName": "Pennsylvania", "value": [ 65 ], "formattedValue": [ "65" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-NM", "geoName": "New Mexico", "value": [ 65 ], "formattedValue": [ "65" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-ND", "geoName": "North Dakota", "value": [ 65 ], "formattedValue": [ "65" ], "maxValueIndex": 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"value": [ 63 ], "formattedValue": [ "63" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-OH", "geoName": "Ohio", "value": [ 62 ], "formattedValue": [ "62" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-HI", "geoName": "Hawaii", "value": [ 62 ], "formattedValue": [ "62" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-MO", "geoName": "Missouri", "value": [ 60 ], "formattedValue": [ "60" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-IN", "geoName": "Indiana", "value": [ 60 ], "formattedValue": [ "60" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-CO", "geoName": "Colorado", "value": [ 60 ], "formattedValue": [ "60" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-NH", "geoName": "New Hampshire", "value": [ 58 ], "formattedValue": [ "58" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-AK", "geoName": "Alaska", "value": [ 57 ], "formattedValue": [ "57" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-KY", "geoName": "Kentucky", "value": [ 57 ], "formattedValue": [ "57" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-WI", "geoName": "Wisconsin", "value": [ 56 ], "formattedValue": [ "56" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-IA", "geoName": "Iowa", "value": [ 56 ], "formattedValue": [ "56" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-SD", "geoName": "South Dakota", "value": [ 56 ], "formattedValue": [ "56" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-ME", "geoName": "Maine", "value": [ 53 ], "formattedValue": [ "53" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-MT", "geoName": "Montana", "value": [ 51 ], "formattedValue": [ "51" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-VT", "geoName": "Vermont", "value": [ 51 ], "formattedValue": [ "51" ], "maxValueIndex": 0, "hasData": [ true ] }, { "geoCode": "US-WV", "geoName": "West Virginia", "value": [ 48 ], "formattedValue": [ "48" ], "maxValueIndex": 0, "hasData": [ true ] } ] }, "relatedQueries": { "rankedList": [ { "rankedKeyword": [ { "query": "ai chatgpt", "value": 100, "formattedValue": "100", "hasData": true, "link": "/trends/explore?q=ai+chatgpt&date=today+12-m&geo=US" }, { "query": "openai", "value": 70, "formattedValue": "70", "hasData": true, "link": "/trends/explore?q=openai&date=today+12-m&geo=US" }, { "query": "chatgpt free", "value": 55, "formattedValue": "55", "hasData": true, "link": "/trends/explore?q=chatgpt+free&date=today+12-m&geo=US" }, { "query": "chatgpt login", "value": 55, "formattedValue": "55", "hasData": true, "link": "/trends/explore?q=chatgpt+login&date=today+12-m&geo=US" }, { "query": "chatgpt app", "value": 35, "formattedValue": "35", "hasData": true, "link": "/trends/explore?q=chatgpt+app&date=today+12-m&geo=US" }, { "query": "chatgpt plus", "value": 26, "formattedValue": "26", "hasData": true, "link": "/trends/explore?q=chatgpt+plus&date=today+12-m&geo=US" }, { "query": "chatgpt gpt", "value": 26, "formattedValue": "26", "hasData": true, "link": "/trends/explore?q=chatgpt+gpt&date=today+12-m&geo=US" }, { "query": "chatgpt pro", "value": 23, "formattedValue": "23", "hasData": true, "link": "/trends/explore?q=chatgpt+pro&date=today+12-m&geo=US" }, { "query": "chatgpt down", "value": 12, "formattedValue": "12", "hasData": true, "link": "/trends/explore?q=chatgpt+down&date=today+12-m&geo=US" }, { "query": "download chatgpt", "value": 12, "formattedValue": "12", "hasData": true, "link": "/trends/explore?q=download+chatgpt&date=today+12-m&geo=US" }, { "query": "chatgpt codex", "value": 11, "formattedValue": "11", "hasData": true, "link": "/trends/explore?q=chatgpt+codex&date=today+12-m&geo=US" }, { "query": "chatgpt images", "value": 10, "formattedValue": "10", "hasData": true, "link": "/trends/explore?q=chatgpt+images&date=today+12-m&geo=US" }, { "query": "chatgpt student", "value": 9, "formattedValue": "9", "hasData": true, "link": "/trends/explore?q=chatgpt+student&date=today+12-m&geo=US" }, { "query": "chatgpt status", "value": 8, "formattedValue": "8", "hasData": true, "link": "/trends/explore?q=chatgpt+status&date=today+12-m&geo=US" }, { "query": "chatgpt voice", "value": 8, "formattedValue": "8", "hasData": true, "link": "/trends/explore?q=chatgpt+voice&date=today+12-m&geo=US" }, { "query": "grok", "value": 7, "formattedValue": "7", "hasData": true, "link": "/trends/explore?q=grok&date=today+12-m&geo=US" }, { "query": "claude vs chatgpt", "value": 7, "formattedValue": "7", "hasData": true, "link": "/trends/explore?q=claude+vs+chatgpt&date=today+12-m&geo=US" }, { "query": "chatgpt plans", "value": 5, "formattedValue": "5", "hasData": true, "link": "/trends/explore?q=chatgpt+plans&date=today+12-m&geo=US" }, { "query": "chatgpt desktop", "value": 5, "formattedValue": "5", "hasData": true, "link": "/trends/explore?q=chatgpt+desktop&date=today+12-m&geo=US" }, { "query": "chatgpt ads", "value": 3, "formattedValue": "3", "hasData": true, "link": "/trends/explore?q=chatgpt+ads&date=today+12-m&geo=US" }, { "query": "grok ai", "value": 3, "formattedValue": "3", "hasData": true, "link": "/trends/explore?q=grok+ai&date=today+12-m&geo=US" }, { "query": "chatgpt ๅฎ˜็ฝ‘", "value": 2, "formattedValue": "2", "hasData": true, "link": "/trends/explore?q=chatgpt+%E5%AE%98%E7%BD%91&date=today+12-m&geo=US" }, { "query": "chatgpt desktop app", "value": 2, "formattedValue": "2", "hasData": true, "link": "/trends/explore?q=chatgpt+desktop+app&date=today+12-m&geo=US" }, { "query": "chatgpt subscriptions", "value": 1, "formattedValue": "1", "hasData": true, "link": "/trends/explore?q=chatgpt+subscriptions&date=today+12-m&geo=US" }, { "query": "chatgpt dots", "value": 1, "formattedValue": "1", "hasData": true, "link": "/trends/explore?q=chatgpt+dots&date=today+12-m&geo=US" } ] }, { "rankedKeyword": [ { "query": "chatgpt codex", "value": 1350, "formattedValue": "+1,350%", "link": "/trends/explore?q=chatgpt+codex&date=today+12-m&geo=US" }, { "query": "chatgpt ๅฎ˜็ฝ‘", "value": 350, "formattedValue": "+350%", "link": "/trends/explore?q=chatgpt+%E5%AE%98%E7%BD%91&date=today+12-m&geo=US" }, { "query": "claude vs chatgpt", "value": 250, "formattedValue": "+250%", "link": "/trends/explore?q=claude+vs+chatgpt&date=today+12-m&geo=US" }, { "query": "chatgpt ads", "value": 250, "formattedValue": "+250%", "link": "/trends/explore?q=chatgpt+ads&date=today+12-m&geo=US" }, { "query": "openai", "value": 200, "formattedValue": "+200%", "link": "/trends/explore?q=openai&date=today+12-m&geo=US" }, { "query": "chatgpt desktop app", "value": 180, "formattedValue": "+180%", "link": "/trends/explore?q=chatgpt+desktop+app&date=today+12-m&geo=US" }, { "query": "chatgpt subscriptions", "value": 170, "formattedValue": "+170%", "link": "/trends/explore?q=chatgpt+subscriptions&date=today+12-m&geo=US" }, { "query": "chatgpt dots", "value": 150, "formattedValue": "+150%", "link": "/trends/explore?q=chatgpt+dots&date=today+12-m&geo=US" }, { "query": "chatgpt pro", "value": 140, "formattedValue": "+140%", "link": "/trends/explore?q=chatgpt+pro&date=today+12-m&geo=US" }, { "query": "chatgpt status", "value": 120, "formattedValue": "+120%", "link": "/trends/explore?q=chatgpt+status&date=today+12-m&geo=US" }, { "query": "chatgpt plans", "value": 120, "formattedValue": "+120%", "link": "/trends/explore?q=chatgpt+plans&date=today+12-m&geo=US" }, { "query": "grok ai", "value": 110, "formattedValue": "+110%", "link": "/trends/explore?q=grok+ai&date=today+12-m&geo=US" }, { "query": "chatgpt desktop", "value": 110, "formattedValue": "+110%", "link": "/trends/explore?q=chatgpt+desktop&date=today+12-m&geo=US" }, { "query": "chatgpt student offer", "value": 110, "formattedValue": "+110%", "link": "/trends/explore?q=chatgpt+student+offer&date=today+12-m&geo=U # Actor input Schema ## `startUrl` (type: `string`): Paste a Google Trends Explore URL, Trending Now URL (trends.google.com/trending), or a keyword such as chatgpt. Compare up to 5 terms with commas in the Explore URL or keywords field. ## `maxItems` (type: `integer`): Maximum dataset rows to save. Effective limit also respects run budget and free-tier cap (5 for free users). ## `fetchFullDetails` (type: `boolean`): When enabled, also pulls interest by region, related queries, and related topics (slower than interest-over-time only). ## `keywords` (type: `array`): Up to 5 search terms. Overrides q= from the Explore URL when provided. ## `geo` (type: `string`): Country or region code (e.g. US, GB, US-CA). Overrides geo from the URL. ## `timeRange` (type: `string`): Google Trends time preset (e.g. today 12-m, now 7-d, today 5-y) or custom range from Explore. ## `searchProperty` (type: `string`): Web, YouTube, News, Shopping, or Images index. ## `scrapeMode` (type: `string`): auto picks Explore vs Trending from the start URL. Use both to run Explore then Trending in one job. ## `trendingHours` (type: `integer`): For Trending Now: 4, 24, 48, or 168. ## `includeTrendArticles` (type: `boolean`): If live Trending Now fails, pull the public RSS feed with news links (best-effort). ## Actor input object example ```json { "startUrl": "https://trends.google.com/trends/explore?geo=US&q=chatgpt", "maxItems": 500, "fetchFullDetails": true, "geo": "US", "timeRange": "today 12-m", "searchProperty": "web", "scrapeMode": "auto", "trendingHours": 24, "includeTrendArticles": true } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "startUrl": "https://trends.google.com/trends/explore?geo=US&q=chatgpt", "maxItems": 500, "fetchFullDetails": true, "geo": "US", "timeRange": "today 12-m", "includeTrendArticles": true }; // Run the Actor and wait for it to finish const run = await client.actor("azzouzana/google-trends-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "startUrl": "https://trends.google.com/trends/explore?geo=US&q=chatgpt", "maxItems": 500, "fetchFullDetails": True, "geo": "US", "timeRange": "today 12-m", "includeTrendArticles": True, } # Run the Actor and wait for it to finish run = client.actor("azzouzana/google-trends-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrl": "https://trends.google.com/trends/explore?geo=US&q=chatgpt", "maxItems": 500, "fetchFullDetails": true, "geo": "US", "timeRange": "today 12-m", "includeTrendArticles": true }' | apify call azzouzana/google-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,azzouzana/google-trends-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/IupgN43M12qScTYm8/builds/vvQYV4Xdb6ecuF9H9/openapi.json