Google Trends API
Designed to get insights from the current trends around the Globe. Perfect for seasonal analysis, crisis management & improving advertising campaigns.
- 30-day free trial
- No credit card required
- 1000 credits free
- 30-day free trial
- No credit card required
- 1000 credits free
Features of GoogleTrends API
Precise Trend Tracking
Our API allows you to extract specific data based on the geographic origin of your search trends, from country-wide data down to individual cities. Essential for gathering localized insights to inform targeted business strategies.
Comprehensive Data Extraction
Our API extracts data across all Google Trends types, enabling detailed analysis from time series to regional comparisons. Access exactly what you need for thorough insights.
Focused Category Searches
Narrow down your trend data to specific categories. Customize your data extraction to exactly match your industry needs.
All The Data That Scrapingdog’s Google Trends API Can Get
> curl "curl "https://api.scrapingdog.com/google_trends?api_key=APIKEY&query=coffee&language=&geo=®ion=&data_type=TIMESERIES&tz=&category=&gprop=&date=""
{
"interest_over_time": {
"timerange_data": [],
"timeline_data": [
{
"date": "Jan 28 – Feb 3, 2024",
"timestamp": "1706400000",
"values": [
{
"query": "coffee",
"value": 83,
"extracted_value": "83"
}
]
},
{
"date": "Feb 4 – 10, 2024",
"timestamp": "1707004800",
"values": [
{
"query": "coffee",
"value": 84,
"extracted_value": "84"
}
]
},
{
"date": "Feb 11 – 17, 2024",
"timestamp": "1707609600",
"values": [
{
"query": "coffee",
"value": 81,
"extracted_value": "81"
}
]
},
{
"date": "Feb 18 – 24, 2024",
"timestamp": "1708214400",
"values": [
{
"query": "coffee",
"value": 87,
"extracted_value": "87"
}
]
},
{
"date": "Feb 25 – Mar 2, 2024",
"timestamp": "1708819200",
"values": [
{
"query": "coffee",
"value": 86,
"extracted_value": "86"
}
]
},
{
"date": "Mar 3 – 9, 2024",
"timestamp": "1709424000",
"values": [
{
"query": "coffee",
"value": 83,
"extracted_value": "83"
}
]
},
{
"date": "Mar 10 – 16, 2024",
"timestamp": "1710028800",
"values": [
{
"query": "coffee",
"value": 82,
"extracted_value": "82"
}
]
},
{
"date": "Mar 17 – 23, 2024",
"timestamp": "1710633600",
"values": [
{
"query": "coffee",
"value": 82,
"extracted_value": "82"
}
]
},
{
"date": "Mar 24 – 30, 2024",
"timestamp": "1711238400",
"values": [
{
"query": "coffee",
"value": 84,
"extracted_value": "84"
}
]
},
{
"date": "Mar 31 – Apr 6, 2024",
"timestamp": "1711843200",
"values": [
{
"query": "coffee",
"value": 81,
"extracted_value": "81"
}
]
},
{
"date": "Apr 7 – 13, 2024",
"timestamp": "1712448000",
"values": [
{
"query": "coffee",
"value": 82,
"extracted_value": "82"
}
]
},
{
"date": "Apr 14 – 20, 2024",
"timestamp": "1713052800",
"values": [
{
"query": "coffee",
"value": 81,
"extracted_value": "81"
}
]
},
{
"date": "Apr 21 – 27, 2024",
"timestamp": "1713657600",
"values": [
{
"query": "coffee",
"value": 85,
"extracted_value": "85"
}
]
},
{
"date": "Apr 28 – May 4, 2024",
"timestamp": "1714262400",
"values": [
{
"query": "coffee",
"value": 88,
"extracted_value": "88"
}
]
},
{
"date": "May 5 – 11, 2024",
"timestamp": "1714867200",
"values": [
{
"query": "coffee",
"value": 84,
"extracted_value": "84"
}
]
},
{
"date": "May 12 – 18, 2024",
"timestamp": "1715472000",
"values": [
{
"query": "coffee",
"value": 83,
"extracted_value": "83"
}
]
},
{
"date": "May 19 – 25, 2024",
"timestamp": "1716076800",
"values": [
{
"query": "coffee",
"value": 82,
"extracted_value": "82"
}
]
},
{
"date": "May 26 – Jun 1, 2024",
"timestamp": "1716681600",
"values": [
{
"query": "coffee",
"value": 84,
"extracted_value": "84"
}
]
},
{
"date": "Jun 2 – 8, 2024",
"timestamp": "1717286400",
"values": [
{
"query": "coffee",
"value": 82,
"extracted_value": "82"
}
]
},
{
"date": "Jun 9 – 15, 2024",
"timestamp": "1717891200",
"values": [
{
"query": "coffee",
"value": 86,
"extracted_value": "86"
}
]
},
{
"date": "Jun 16 – 22, 2024",
"timestamp": "1718496000",
"values": [
{
"query": "coffee",
"value": 86,
"extracted_value": "86"
}
]
},
{
"date": "Jun 23 – 29, 2024",
"timestamp": "1719100800",
"values": [
{
"query": "coffee",
"value": 85,
"extracted_value": "85"
}
]
},
{
"date": "Jun 30 – Jul 6, 2024",
"timestamp": "1719705600",
"values": [
{
"query": "coffee",
"value": 87,
"extracted_value": "87"
}
]
},
{
"date": "Jul 7 – 13, 2024",
"timestamp": "1720310400",
"values": [
{
"query": "coffee",
"value": 84,
"extracted_value": "84"
}
]
},
{
"date": "Jul 14 – 20, 2024",
"timestamp": "1720915200",
"values": [
{
"query": "coffee",
"value": 89,
"extracted_value": "89"
}
]
},
{
"date": "Jul 21 – 27, 2024",
"timestamp": "1721520000",
"values": [
{
"query": "coffee",
"value": 90,
"extracted_value": "90"
}
]
},
{
"date": "Jul 28 – Aug 3, 2024",
"timestamp": "1722124800",
"values": [
{
"query": "coffee",
"value": 85,
"extracted_value": "85"
}
]
},
{
"date": "Aug 4 – 10, 2024",
"timestamp": "1722729600",
"values": [
{
"query": "coffee",
"value": 83,
"extracted_value": "83"
}
]
},
{
"date": "Aug 11 – 17, 2024",
"timestamp": "1723334400",
"values": [
{
"query": "coffee",
"value": 91,
"extracted_value": "91"
}
]
},
{
"date": "Aug 18 – 24, 2024",
"timestamp": "1723939200",
"values": [
{
"query": "coffee",
"value": 88,
"extracted_value": "88"
}
]
},
{
"date": "Aug 25 – 31, 2024",
"timestamp": "1724544000",
"values": [
{
"query": "coffee",
"value": 90,
"extracted_value": "90"
}
]
},
{
"date": "Sep 1 – 7, 2024",
"timestamp": "1725148800",
"values": [
{
"query": "coffee",
"value": 89,
"extracted_value": "89"
}
]
},
{
"date": "Sep 8 – 14, 2024",
"timestamp": "1725753600",
"values": [
{
"query": "coffee",
"value": 85,
"extracted_value": "85"
}
]
},
{
"date": "Sep 15 – 21, 2024",
"timestamp": "1726358400",
"values": [
{
"query": "coffee",
"value": 89,
"extracted_value": "89"
}
]
},
{
"date": "Sep 22 – 28, 2024",
"timestamp": "1726963200",
"values": [
{
"query": "coffee",
"value": 85,
"extracted_value": "85"
}
]
},
{
"date": "Sep 29 – Oct 5, 2024",
"timestamp": "1727568000",
"values": [
{
"query": "coffee",
"value": 90,
"extracted_value": "90"
}
]
},
{
"date": "Oct 6 – 12, 2024",
"timestamp": "1728172800",
"values": [
{
"query": "coffee",
"value": 88,
"extracted_value": "88"
}
]
},
{
"date": "Oct 13 – 19, 2024",
"timestamp": "1728777600",
"values": [
{
"query": "coffee",
"value": 87,
"extracted_value": "87"
}
]
},
{
"date": "Oct 20 – 26, 2024",
"timestamp": "1729382400",
"values": [
{
"query": "coffee",
"value": 83,
"extracted_value": "83"
}
]
},
{
"date": "Oct 27 – Nov 2, 2024",
"timestamp": "1729987200",
"values": [
{
"query": "coffee",
"value": 85,
"extracted_value": "85"
}
]
},
{
"date": "Nov 3 – 9, 2024",
"timestamp": "1730592000",
"values": [
{
"query": "coffee",
"value": 81,
"extracted_value": "81"
}
]
},
{
"date": "Nov 10 – 16, 2024",
"timestamp": "1731196800",
"values": [
{
"query": "coffee",
"value": 89,
"extracted_value": "89"
}
]
},
{
"date": "Nov 17 – 23, 2024",
"timestamp": "1731801600",
"values": [
{
"query": "coffee",
"value": 91,
"extracted_value": "91"
}
]
},
{
"date": "Nov 24 – 30, 2024",
"timestamp": "1732406400",
"values": [
{
"query": "coffee",
"value": 99,
"extracted_value": "99"
}
]
},
{
"date": "Dec 1 – 7, 2024",
"timestamp": "1733011200",
"values": [
{
"query": "coffee",
"value": 92,
"extracted_value": "92"
}
]
},
{
"date": "Dec 8 – 14, 2024",
"timestamp": "1733616000",
"values": [
{
"query": "coffee",
"value": 93,
"extracted_value": "93"
}
]
},
{
"date": "Dec 15 – 21, 2024",
"timestamp": "1734220800",
"values": [
{
"query": "coffee",
"value": 97,
"extracted_value": "97"
}
]
},
{
"date": "Dec 22 – 28, 2024",
"timestamp": "1734825600",
"values": [
{
"query": "coffee",
"value": 100,
"extracted_value": "100"
}
]
},
{
"date": "Dec 29, 2024 – Jan 4, 2025",
"timestamp": "1735430400",
"values": [
{
"query": "coffee",
"value": 98,
"extracted_value": "98"
}
]
},
{
"date": "Jan 5 – 11, 2025",
"timestamp": "1736035200",
"values": [
{
"query": "coffee",
"value": 95,
"extracted_value": "95"
}
]
},
{
"date": "Jan 12 – 18, 2025",
"timestamp": "1736640000",
"values": [
{
"query": "coffee",
"value": 95,
"extracted_value": "95"
}
]
},
{
"date": "Jan 19 – 25, 2025",
"timestamp": "1737244800",
"values": [
{
"query": "coffee",
"value": 93,
"extracted_value": "93"
}
]
},
{
"date": "Jan 26 – Feb 1, 2025",
"timestamp": "1737849600",
"values": [
{
"query": "coffee",
"value": 98,
"extracted_value": "98"
}
]
}
]
}
} 
Benefits of Using Scrapingdog’s API for Extracting Trends Data
Get Market Insight
Get emerging trends and consumer interests by tapping into real-time search data from Google Trends. Gain actionable insights to stay ahead in your market.
Strategic Marketing
Use trends data to refine your marketing strategies. Identify peak times for consumer interest and optimize campaigns for maximum impact.
Competitive Analysis
Monitor how often and in what context competitors are searched for. Use this data to benchmark your performance and strategize on gaining a competitive edge.
Operational Efficiency
Streamline your operations by integrating Google Trends data into your workflow. Quickly adapt to changing market conditions and optimize operational decisions with real-time trend analysis.
Use Cases of Google Trends Data
Consumer Behavior Analysis
Track and analyze changes in consumer interests and behavior over time. Use this data to adjust marketing strategies, develop new products, or tailor services to meet emerging trends.
Event Impact Assessment
Measure the impact of specific events on public interest by observing spikes or declines in related search terms. This can help businesses and organizations gauge public response and the effectiveness of their promotional efforts.
Seasonal Demand Forecasting
Predict seasonal fluctuations in consumer interest and demand by analyzing historical and current trends data. This information is vital for inventory management, marketing planning, and promotional activities.
Content Optimization
Optimize content creation and publishing by identifying trending topics and keywords. Tailor your content to align with what is currently capturing the public’s interest to increase traffic and engagement.
Geographic Market Analysis
Analyze regional differences in search trends to identify specific market preferences and behaviors. This information can help tailor products and marketing strategies to regional demands, enhancing market penetration and relevance
Influence and Partnership Evaluation
Identify which celebrities or influencers are trending and the context of these trends. This data can be crucial for brands considering partnerships for marketing campaigns or endorsements.
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$40/month
- 40000 Google Requests
- 5 Concurrency
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Frequently Asked Questions
Yes, the API has a rate limit depending on your chosen subscription plan. For detailed information on request limits and how to manage them efficiently, please refer to documentation or message us on live chat.
The API allows you to extract various types of data from Google search results, including organic results, paid results, featured snippets, knowledge graphs, and more. This functionality enables comprehensive analysis and insights into SERP features relevant to your queries.
Yes, other then the data from search results, we have dedicated APIs for Google Scholar, Google Images, Google Lens etc, You can check them out in the product section in the header section for more info.
Our development team continuously monitors changes in Google’s SERP layout and updates accordingly to ensure consistent and reliable data extraction.
Each API request consumes a certain number of credits based on the dedicated API you’re using.
For example the Google Search API costs 5 credits per request. So, if you make one request to the Google Search API, it will deduct 5 credits from the available credits in your account. The number of credits required per request can vary depending on the specific API you’re using.
You can find more details about the credit usage for each API in the documentation.
No, Google doesn’t offers an official API to extract data from their search results. The best way to scale Google scraping is by using a third party API.
