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2018","Search_Count":63},{"Month_Date_Year":"Mar 1, 2018","Search_Count":63},{"Month_Date_Year":"Apr 1, 2018","Search_Count":62},{"Month_Date_Year":"May 1, 2018","Search_Count":60},{"Month_Date_Year":"Jun 1, 2018","Search_Count":59},{"Month_Date_Year":"Jul 1, 2018","Search_Count":57},{"Month_Date_Year":"Aug 1, 2018","Search_Count":55},{"Month_Date_Year":"Sep 1, 2018","Search_Count":58},{"Month_Date_Year":"Oct 1, 2018","Search_Count":55},{"Month_Date_Year":"Nov 1, 2018","Search_Count":55},{"Month_Date_Year":"Dec 1, 2018","Search_Count":54},{"Month_Date_Year":"Jan 1, 2019","Search_Count":49},{"Month_Date_Year":"Feb 1, 2019","Search_Count":48},{"Month_Date_Year":"Mar 1, 2019","Search_Count":52},{"Month_Date_Year":"Apr 1, 2019","Search_Count":47},{"Month_Date_Year":"May 1, 2019","Search_Count":48},{"Month_Date_Year":"Jun 1, 2019","Search_Count":48},{"Month_Date_Year":"Jul 1, 2019","Search_Count":47},{"Month_Date_Year":"Aug 1, 2019","Search_Count":45},{"Month_Date_Year":"Sep 1, 2019","Search_Count":45},{"Month_Date_Year":"Oct 1, 2019","Search_Count":47},{"Month_Date_Year":"Nov 1, 2019","Search_Count":46},{"_note":"Response truncated for documentation purposes"}]
curl --location --request GET 'https://zylalabs.com/api/7204/seo+keyword+trends+api/11351/keyword+stats&keyword=Required' --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 SEO Keyword Trends 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.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
(Save 2 months with annual billing 🎉)
This API provides historical monthly search volume data for a specific keyword. When you send a keyword as a parameter, the API returns a series of records representing how many times that term was searched for in different months. Each entry includes two main fields: the date represented in the format Month_Date_Year (for example, “Apr 1, 2024”) and the number of searches for that month (Search_Count). The data is organized chronologically, allowing for a clear and continuous analysis of the interest generated by the keyword over time.
The API is especially useful for professionals in digital marketing, SEO, trend analysis, content development, and strategic decision-making. It can be used to detect increases or decreases in the popularity of a topic, predict seasonal patterns, or evaluate the impact of advertising campaigns on specific terms.
The Keyword Stats endpoint returns historical monthly search volume data for a specified keyword. It includes records detailing the number of searches for that keyword across different months.
The key fields in the response data are "Month_Date_Year," which indicates the month and year of the data, and "Search_Count," which shows the number of searches for that keyword in that month.
The response data is organized chronologically, allowing users to analyze search trends over time. Each entry is listed by month, making it easy to track changes in search volume.
The primary parameter for the Keyword Stats endpoint is the keyword itself. Users must specify the keyword they wish to analyze to receive relevant search volume data.
Typical use cases include monitoring keyword popularity, predicting seasonal trends, evaluating the effectiveness of marketing campaigns, and informing content development strategies based on search interest.
Data accuracy is maintained through rigorous data collection methods and regular quality checks. The API aggregates search volume data from reliable sources to ensure the information is up-to-date and trustworthy.
Users can analyze the search volume trends over time to identify peaks and troughs in interest, which can inform marketing strategies, content creation, and SEO efforts. The chronological organization aids in spotting seasonal patterns.
Users can expect to see fluctuations in search volume that may correlate with seasonal events, marketing campaigns, or emerging trends. Analyzing these patterns can help in forecasting future interest in specific keywords.
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