About the API:
Google Trends allows you to know what is the most trending topic on Google Search at the moment. Be able to recognize trends not only live but also through time and regions.
Just pass the search term that you want to compare, and extract data to know what is the most popular topic through time and also, by region.
Content Inspiration: By studying the related queries and focusing on those that are breakouts, you can be inspired to create new content that speaks to what people are clamoring for at the moment.
Comparing Topics: Being able to compare topics quickly can have many useful applications. When it comes to picking a title for your article, for example, you can see if people are more like to search for, “tips”, “tricks”, or, “hacks” and make your decision based on which term has the highest traffic.
Compelling Visuals: Google Trends isn’t complicated by an abundance of resources. It shows you how well your queries are performing over time or for different reasons, allowing for easy-to-interpret visualizations. These can be very useful for presentations because they’re so easy to read.
Besides the number of API calls per month:
Free Plan: 20 requests per day.
Be able to retrieve the interest over time for multiple topics of your choice.
This endpoint can retrieve information in these timeframes:
The parameter is used to define a date. Available options:now 1-H - Past hournow 4-H - Past 4 hoursnow 1-d - Past daynow 7-d - Past 7 daystoday 1-m - Past 30 daystoday 3-m - Past 90 daystoday 12-m - Past 12 monthstoday 5-y - Past 5 yearsall - 2004 - present
| Object | Description |
|---|---|
q |
[Required] The search query. |
date |
[Required] |
Continue with Google
Continue with Github
{
"search_metadata": {
"id": "6316077636e6a9123a894ab6",
"status": "Success",
"json_endpoint": "https://serpapi.com/searches/619c812facdbd0a5/6316077636e6a9123a894ab6.json",
"created_at": "2022-09-05 14:28:06 UTC",
"processed_at": "2022-09-05 14:28:06 UTC",
"google_trends_url": "https://trends.google.com/trends/api/explore?tz=420&req=%7B%22comparisonItem%22%3A%5B%7B%22keyword%22%3A%22Joe+Biden%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22category%22%3A0%2C%22property%22%3A%22%22%7D",
"raw_html_file": "https://serpapi.com/searches/619c812facdbd0a5/6316077636e6a9123a894ab6.html",
"prettify_html_file": "https://serpapi.com/searches/619c812facdbd0a5/6316077636e6a9123a894ab6.prettify",
"total_time_taken": 13.69
},
"search_parameters": {
"engine": "google_trends",
"q": "Joe Biden",
"date": "today 12-m",
"tz": "420",
"data_type": "TIMESERIES"
},
"interest_over_time": {
"timeline_data": [
{
"date": "Sep 5 – 11, 2021",
"values": [
{
"query": "Joe Biden",
"value": "74",
"extracted_value": 74
}
]
},
{
"date": "Sep 12 – 18, 2021",
"values": [
{
"query": "Joe Biden",
"value": "67",
"extracted_value": 67
}
]
},
{
"date": "Sep 19 – 25, 2021",
"values": [
{
"query": "Joe Biden",
"value": "57",
"extracted_value": 57
}
]
},
{
"date": "Sep 26 – Oct 2, 2021",
"values": [
{
"query": "Joe Biden",
"value": "46",
"extracted_value": 46
}
]
},
{
"date": "Oct 3 – 9, 2021",
"values": [
{
"query": "Joe Biden",
"value": "59",
"extracted_value": 59
}
]
},
{
"date": "Oct 10 – 16, 2021",
"values": [
{
"query": "Joe Biden",
"value": "52",
"extracted_value": 52
}
]
},
{
"date": "Oct 17 – 23, 2021",
"values": [
{
"query": "Joe Biden",
"value": "52",
"extracted_value": 52
}
]
},
{
"date": "Oct 24 – 30, 2021",
"values": [
{
"query": "Joe Biden",
"value": "69",
"extracted_value": 69
}
]
},
{
"date": "Oct 31 – Nov 6, 2021",
"values": [
{
"query": "Joe Biden",
"value": "98",
"extracted_value": 98
}
]
},
{
"date": "Nov 7 – 13, 2021",
"values": [
{
"query": "Joe Biden",
"value": "77",
"extracted_value": 77
}
]
},
{
"date": "Nov 14 – 20, 2021",
"values": [
{
"query": "Joe Biden",
"value": "72",
"extracted_value": 72
}
]
},
{
"date": "Nov 21 – 27, 2021",
"values": [
{
"query": "Joe Biden",
"value": "58",
"extracted_value": 58
}
]
},
{
"date": "Nov 28 – Dec 4, 2021",
"values": [
{
"query": "Joe Biden",
"value": "42",
"extracted_value": 42
}
]
},
{
"date": "Dec 5 – 11, 2021",
"values": [
{
"query": "Joe Biden",
"value": "40",
"extracted_value": 40
}
]
},
{
"date": "Dec 12 – 18, 2021",
"values": [
{
"query": "Joe Biden",
"value": "37",
"extracted_value": 37
}
]
},
{
"date": "Dec 19 – 25, 2021",
"values": [
{
"query": "Joe Biden",
"value": "55",
"extracted_value": 55
}
]
},
{
"date": "Dec 26, 2021 – Jan 1, 2022",
"values": [
{
"query": "Joe Biden",
"value": "50",
"extracted_value": 50
}
]
},
{
"date": "Jan 2 – 8, 2022",
"values": [
{
"query": "Joe Biden",
"value": "39",
"extracted_value": 39
}
]
},
{
"date": "Jan 9 – 15, 2022",
"values": [
{
"query": "Joe Biden",
"value": "35",
"extracted_value": 35
}
]
},
{
"date": "Jan 16 – 22, 2022",
"values": [
{
"query": "Joe Biden",
"value": "48",
"extracted_value": 48
}
]
},
{
"date": "Jan 23 – 29, 2022",
"values": [
{
"query": "Joe Biden",
"value": "57",
"extracted_value": 57
}
]
},
{
"date": "Jan 30 – Feb 5, 2022",
"values": [
{
"query": "Joe Biden",
"value": "35",
"extracted_value": 35
}
]
},
{
"date": "Feb 6 – 12, 2022",
"values": [
{
"query": "Joe Biden",
"value": "59",
"extracted_value": 59
}
]
},
{
"date": "Feb 13 – 19, 2022",
"values": [
{
"query": "Joe Biden",
"value": "39",
"extracted_value": 39
}
]
},
{
"date": "Feb 20 – 26, 2022",
"values": [
{
"query": "Joe Biden",
"value": "96",
"extracted_value": 96
}
]
},
{
"date": "Feb 27 – Mar 5, 2022",
"values": [
{
"query": "Joe Biden",
"value": "100",
"extracted_value": 100
}
]
},
{
"date": "Mar 6 – 12, 2022",
"values": [
{
"query": "Joe Biden",
"value": "52",
"extracted_value": 52
}
]
},
{
"date": "Mar 13 – 19, 2022",
"values": [
{
"query": "Joe Biden",
"value": "47",
"extracted_value": 47
}
]
},
{
"date": "Mar 20 – 26, 2022",
"values": [
{
"query": "Joe Biden",
"value": "79",
"extracted_value": 79
}
]
},
{
"date": "Mar 27 – Apr 2, 2022",
"values": [
{
"query": "Joe Biden",
"value": "59",
"extracted_value": 59
}
]
},
{
"date": "Apr 3 – 9, 2022",
"values": [
{
"query": "Joe Biden",
"value": "44",
"extracted_value": 44
}
]
},
{
"date": "Apr 10 – 16, 2022",
"values": [
{
"query": "Joe Biden",
"value": "52",
"extracted_value": 52
}
]
},
{
"date": "Apr 17 – 23, 2022",
"values": [
{
"query": "Joe Biden",
"value": "46",
"extracted_value": 46
}
]
},
{
"date": "Apr 24 – 30, 2022",
"values": [
{
"query": "Joe Biden",
"value": "41",
"extracted_value": 41
}
]
},
{
"date": "May 1 – 7, 2022",
"values": [
{
"query": "Joe Biden",
"value": "44",
"extracted_value": 44
}
]
},
{
"date": "May 8 – 14, 2022",
"values": [
{
"query": "Joe Biden",
"value": "40",
"extracted_value": 40
}
]
},
{
"date": "May 15 – 21, 2022",
"values": [
{
"query": "Joe Biden",
"value": "37",
"extracted_value": 37
}
]
},
{
"date": "May 22 – 28, 2022",
"values": [
{
"query": "Joe Biden",
"value": "43",
"extracted_value": 43
}
]
},
{
"date": "May 29 – Jun 4, 2022",
"values": [
{
"query": "Joe Biden",
"value": "41",
"extracted_value": 41
}
]
},
{
"date": "Jun 5 – 11, 2022",
"values": [
{
"query": "Joe Biden",
"value": "41",
"extracted_value": 41
}
]
},
{
"date": "Jun 12 – 18, 2022",
"values": [
{
"query": "Joe Biden",
"value": "56",
"extracted_value": 56
}
]
},
{
"date": "Jun 19 – 25, 2022",
"values": [
{
"query": "Joe Biden",
"value": "77",
"extracted_value": 77
}
]
},
{
"date": "Jun 26 – Jul 2, 2022",
"values": [
{
"query": "Joe Biden",
"value": "47",
"extracted_value": 47
}
]
},
{
"date": "Jul 3 – 9, 2022",
"values": [
{
"query": "Joe Biden",
"value": "50",
"extracted_value": 50
...
curl --location --request GET 'https://zylalabs.com/api/281/google+trends+api/246/get+interest+over+time?q=Joe Biden&date=today 3-m' --header 'Authorization: Bearer YOUR_API_KEY'
Get the regions that are most interested in the search term of your choice.
| Object | Description |
|---|---|
q |
[Required] The search term of your choice. |
{"Example Response":"No response example available for now."}
curl --location --request GET 'https://zylalabs.com/api/281/google+trends+api/247/get+interest+by+region?q=us open' --header 'Authorization: Bearer YOUR_API_KEY'
With the chance to query various search terms (max 5) at once, you will be receiving a breakdown by region and the trend of every search term.
| Object | Description |
|---|---|
q |
[Required] The search terms that you want to query. Max 5. |
{
"search_metadata": {
"id": "63161f0e24e88ea74e71911c",
"status": "Success",
"json_endpoint": "https://serpapi.com/searches/4fbb72c26d637b92/63161f0e24e88ea74e71911c.json",
"created_at": "2022-09-05 16:08:46 UTC",
"processed_at": "2022-09-05 16:08:46 UTC",
"google_trends_url": "https://trends.google.com/trends/api/explore?tz=420&req=%7B%22comparisonItem%22%3A%5B%7B%22keyword%22%3A%22NBA%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%2C%7B%22keyword%22%3A%22Wimbledon%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%2C%7B%22keyword%22%3A%22Hamilton%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22category%22%3A0%2C%22property%22%3A%22%22%7D",
"raw_html_file": "https://serpapi.com/searches/4fbb72c26d637b92/63161f0e24e88ea74e71911c.html",
"prettify_html_file": "https://serpapi.com/searches/4fbb72c26d637b92/63161f0e24e88ea74e71911c.prettify",
"total_time_taken": 1.03
},
"search_parameters": {
"engine": "google_trends",
"q": "NBA, Wimbledon, Hamilton",
"date": "today 12-m",
"tz": "420",
"data_type": "GEO_MAP"
},
"compared_breakdown_by_region": [
{
"geo": "PH",
"location": "Philippines",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "99%",
"extracted_value": 99
},
{
"query": "Wimbledon",
"value": "<1%",
"extracted_value": 0
},
{
"query": "Hamilton",
"value": "1%",
"extracted_value": 1
}
]
},
{
"geo": "NZ",
"location": "New Zealand",
"max_value_index": 2,
"values": [
{
"query": "NBA",
"value": "29%",
"extracted_value": 29
},
{
"query": "Wimbledon",
"value": "1%",
"extracted_value": 1
},
{
"query": "Hamilton",
"value": "70%",
"extracted_value": 70
}
]
},
{
"geo": "TW",
"location": "Taiwan",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "99%",
"extracted_value": 99
},
{
"query": "Wimbledon",
"value": "<1%",
"extracted_value": 0
},
{
"query": "Hamilton",
"value": "1%",
"extracted_value": 1
}
]
},
{
"geo": "CA",
"location": "Canada",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "57%",
"extracted_value": 57
},
{
"query": "Wimbledon",
"value": "3%",
"extracted_value": 3
},
{
"query": "Hamilton",
"value": "40%",
"extracted_value": 40
}
]
},
{
"geo": "US",
"location": "United States",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "85%",
"extracted_value": 85
},
{
"query": "Wimbledon",
"value": "2%",
"extracted_value": 2
},
{
"query": "Hamilton",
"value": "13%",
"extracted_value": 13
}
]
},
{
"geo": "AU",
"location": "Australia",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "70%",
"extracted_value": 70
},
{
"query": "Wimbledon",
"value": "11%",
"extracted_value": 11
},
{
"query": "Hamilton",
"value": "19%",
"extracted_value": 19
}
]
},
{
"geo": "HK",
"location": "Hong Kong",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "94%",
"extracted_value": 94
},
{
"query": "Wimbledon",
"value": "3%",
"extracted_value": 3
},
{
"query": "Hamilton",
"value": "3%",
"extracted_value": 3
}
]
},
{
"geo": "SG",
"location": "Singapore",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "85%",
"extracted_value": 85
},
{
"query": "Wimbledon",
"value": "7%",
"extracted_value": 7
},
{
"query": "Hamilton",
"value": "8%",
"extracted_value": 8
}
]
},
{
"geo": "GR",
"location": "Greece",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "85%",
"extracted_value": 85
},
{
"query": "Wimbledon",
"value": "7%",
"extracted_value": 7
},
{
"query": "Hamilton",
"value": "8%",
"extracted_value": 8
}
]
},
{
"geo": "ES",
"location": "Spain",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "65%",
"extracted_value": 65
},
{
"query": "Wimbledon",
"value": "29%",
"extracted_value": 29
},
{
"query": "Hamilton",
"value": "6%",
"extracted_value": 6
}
]
},
{
"geo": "AE",
"location": "United Arab Emirates",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "82%",
"extracted_value": 82
},
{
"query": "Wimbledon",
"value": "8%",
"extracted_value": 8
},
{
"query": "Hamilton",
"value": "10%",
"extracted_value": 10
}
]
},
{
"geo": "CL",
"location": "Chile",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "81%",
"extracted_value": 81
},
{
"query": "Wimbledon",
"value": "13%",
"extracted_value": 13
},
{
"query": "Hamilton",
"value": "6%",
"extracted_value": 6
}
]
},
{
"geo": "BR",
"location": "Brazil",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "86%",
"extracted_value": 86
},
{
"query": "Wimbledon",
"value": "5%",
"extracted_value": 5
},
{
"query": "Hamilton",
"value": "9%",
"extracted_value": 9
}
]
},
{
"geo": "MY",
"location": "Malaysia",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "86%",
"extracted_value": 86
},
{
"query": "Wimbledon",
"value": "7%",
"extracted_value": 7
},
{
"query": "Hamilton",
"value": "7%",
"extracted_value": 7
}
]
},
{
"geo": "IE",
"location": "Ireland",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "54%",
"extracted_value": 54
},
{
"query": "Wimbledon",
"value": "24%",
"extracted_value": 24
},
{
"query": "Hamilton",
"value": "22%",
"extracted_value": 22
}
]
},
{
"geo": "GB",
"location": "United Kingdom",
"max_value_index": 1,
"values": [
{
"query": "NBA",
"value": "27%",
"extracted_value": 27
},
{
"query": "Wimbledon",
"value": "42%",
"extracted_value": 42
},
{
"query": "Hamilton",
"value": "31%",
"extracted_value": 31
}
]
},
{
"geo": "MX",
"location": "Mexico",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "82%",
"extracted_value": 82
},
{
"query": "Wimbledon",
"value": "5%",
"extracted_value": 5
},
{
"query": "Hamilton",
"value": "13%",
"extracted_value": 13
}
]
},
{
"geo": "CO",
"location": "Colombia",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "86%",
"extracted_value": 86
},
{
"query": "Wimbledon",
"value": "8%",
"extracted_value": 8
},
{
"query": "Hamilton",
"value": "6%",
"extracted_value": 6
}
]
},
{
"geo": "IT",
"location": "Italy",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "61%",
"extracted_value": 61
},
{
"query": "Wimbledon",
"value": "27%",
"extracted_value": 27
},
{
"query": "Hamilton",
"value": "12%",
"extracted_value": 12
}
]
},
{
"geo": "AR",
"location": "Argentina",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "79%",
"extracted_value": 79
},
{
"query": "Wimbledon",
"value": "13%",
"extracted_value": 13
},
{
"query": "Hamilton",
"value": "8%",
"extracted_value": 8
}
]
},
{
"geo": "PT",
"location": "Portug...
curl --location --request GET 'https://zylalabs.com/api/281/google+trends+api/248/get+trends+compared+breakdown+by+region?q=NBA, Wimbledon, Hamilton' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Google Trends API REST API, simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
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Zyla API Hub is, in other words, an API MarketPlace. An all-in-one solution for your developing needs. You will be accessing our extended list of APIs with only your user. Also, you won't need to worry about storing API keys, only one API key for all our products is needed.
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Prices are based on a recurring monthly subscription depending on the plan selected — plus overage fees applied when a developer exceeds a plan’s quota limits. In this example, you'll see the base plan amount as well as a quota limit of API requests. Be sure to notice the overage fee because you will be charged for each additional request.
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Just go to the pricing page of that API and select the plan that you want to upgrade to. You will only be charged the full amount of that plan, but you will be enjoying the features that the plan offers right away.
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Service Level:
100%
Response Time:
1,642ms
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100%
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1,302ms
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100%
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1,712ms
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100%
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1,879ms
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100%
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1,580ms
Service Level:
100%
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161ms
Service Level:
100%
Response Time:
3,784ms
Service Level:
99%
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6,342ms
Service Level:
50%
Response Time:
2,048ms
Service Level:
67%
Response Time:
2,099ms
