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Google Trends Keywords Discovery Tool

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Unlock powerful insights from Google Trends with real-time data extraction. Get comprehensive trending topics, rising queries, and search interest patterns across regions. Perfect for market research, content strategy, and trend analysis.

Pricing

from $4.99 / 1,000 results

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0.0

(0)

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Coding Frontned

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Monthly active users

10 days ago

Last modified

Input

Field	Type	Default	Description
`keyword`	string	UI prefill	One seed, 1–200 characters.
`keywords`	string array	—	Optional batch of up to five unique seeds; overrides `keyword` when populated.
`country`	string	`US`	Two-letter Google Trends country code.
`language`	string	`en-US`	Result language tag such as `en-US`, `en-GB`, or `de`.
`expandAlphabet`	boolean	`false`	Query the seed plus a–z suffixes until the result cap is reached.
`maxKeywords`	integer	`50`	Maximum number of unique topics to save, from 1 to 100.

At least one non-empty keyword or keywords value is required.

Output

Rows include the published topic title, normalized title, topic type, Google MID when present, a Google Trends Explore URL, seed and source query, country/language, exact autocomplete API URL, HTTP status, request attempt, extraction method, and timestamps.

{
    "position": 1,
    "topicTitle": "Artificial intelligence",
    "normalizedTitle": "artificial intelligence",
    "topicType": "Professional field",
    "mid": "/m/0mkz",
    "searchUrl": "https://trends.google.com/trends/explore?q=Artificial+intelligence&geo=US",
    "source": "artificial intelligence",
    "seedKeyword": "artificial intelligence",
    "country": "US",
    "language": "en-US",
    "sourceDomain": "trends.google.com",
    "httpStatus": 200,
    "extractionMethod": "google-trends-autocomplete-api"
}

Limits and semantics

This Actor returns autocomplete topics, not time-series interest, rising-query metrics, or a full Trends analytics export.
maxKeywords is a cap; Google can publish fewer matching topics.
Each request has a 15-second timeout and at most three attempts. A run with no complete rows fails explicitly.
Google controls endpoint availability and response structure, so results can change between runs.

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