Twitter Trend Analysis API is a dynamic and invaluable tool that allows users to tap into the pulse of social media conversations. This API serves as a gateway to the wealth of information flowing through Twitter, providing insights into the most popular and relevant topics trending in specific geographic locations.
In essence, Twitter Trend Analysis API leverages Twitter's vast database to provide users with a selected list of trending topics tailored to a specific geographic area. This allows users to gain a nuanced understanding of the conversations and interests shaping public discourse on a local, regional or global level. Users can seamlessly integrate this functionality into their applications, allowing them to stay informed about the latest and most relevant trends in their area of interest.
The API facilitates accurate and granular location-based trend analysis, allowing users to filter trends by country. This level of granularity ensures that the trends presented closely match the preferences of the target audience and the geographic scope of the analysis.
In conclusion, the Twitter Trend Analysis API is a powerful tool that provides a wealth of information circulating on Twitter. By providing access to location-specific trends, it enables applications to deliver a more relevant and engaging user experience, while providing users with valuable insights into the constantly evolving landscape of social media conversations.
It will receive parameters and provide you with a JSON.
Localized Marketing Campaigns: Tailor marketing strategies by analyzing Twitter trends in specific locations, ensuring content resonates with local audiences.
Event Planning and Promotion: Stay informed about relevant local trends to enhance event planning and promotion, leveraging popular topics to engage attendees.
News Aggregation: Curate location-specific news content by integrating trending Twitter topics into news aggregation platforms for a localized news experience.
Brand Sentiment Analysis: Monitor Twitter trends to gauge public sentiment about a brand in specific regions, facilitating effective reputation management.
Community Engagement: Foster community engagement by staying aware of and participating in local Twitter conversations, building a strong online presence.
Besides the number of API calls per month, there are no other limitations.
Get the top Twitter trends with name, volume, category, and context, allowing you to analyze popular topics and their current relevance.
Algeria : 23424740
Argentina : 23424747
Australia : 23424748
Austria : 23424750
Bahrain : 23424753
Belarus : 23424765
Belgium : 23424757
Brazil : 23424768
Canada : 23424775
Chile : 23424782
Colombia : 23424787
Denmark : 23424796
Dominican Republic : 23424800
Ecuador : 23424801
Egypt : 23424802
France : 23424819
Germany : 23424829
Ghana : 23424824
Greece : 23424833
Guatemala : 23424834
India : 23424848
Indonesia : 23424846
Ireland : 23424803
Israel : 23424852
Italy : 23424853
Japan : 23424856
Jordan : 23424860
Kenya : 23424863
Kuwait : 23424870
Latvia : 23424874
Lebanon : 23424873
Malaysia : 23424901
Mexico : 23424900
Netherlands : 23424909
New Zealand : 23424916
Nigeria : 23424908
Norway : 23424910
Oman : 23424898
Pakistan : 23424922
Panama : 23424924
Peru : 23424919
Philippines : 23424934
Poland : 23424923
Portugal : 23424925
Puerto Rico : 23424935
Qatar : 23424930
Russia : 23424936
Saudi Arabia : 23424938
Singapore : 23424948
South Africa : 23424942
South Korea : 23424868
Spain : 23424950
Sweden : 23424954
Switzerland : 23424957
Thailand : 23424960
Turkey : 23424969
Ukraine : 23424976
United Arab Emirates : 23424738
United Kingdom : 23424975
United States : 23424977
Venezuela : 23424982
Vietnam : 23424984
Worldwide : 1
Trends - Endpoint Features
| Object | Description |
|---|---|
woeid |
[Required] Enter a Woe ID |
{"trends":{"0":{"name":"\u0627\u0644\u0633\u0648\u062f\u0627\u0646","query":"%D8%A7%D9%84%D8%B3%D9%88%D8%AF%D8%A7%D9%86","url":"search?q=%D8%A7%D9%84%D8%B3%D9%88%D8%AF%D8%A7%D9%86","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[{"name":"\u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a","query":"%D8%A7%D9%84%D8%A5%D9%85%D8%A7%D8%B1%D8%A7%D8%AA","url":"search?q=%D8%A7%D9%84%D8%A5%D9%85%D8%A7%D8%B1%D8%A7%D8%AA"}]},"1":{"name":"\u0627\u0644\u062f\u0639\u0645 \u0627\u0644\u0633\u0631\u064a\u0639","query":"%D8%A7%D9%84%D8%AF%D8%B9%D9%85+%D8%A7%D9%84%D8%B3%D8%B1%D9%8A%D8%B9","url":"search?q=%22%D8%A7%D9%84%D8%AF%D8%B9%D9%85+%D8%A7%D9%84%D8%B3%D8%B1%D9%8A%D8%B9%22","volume":132000,"volumeShort":"132K","domainContext":"","groupedTrends":[]},"2":{"name":"#\u0627\u0644\u0641\u0627\u0634\u0631","query":"%23%D8%A7%D9%84%D9%81%D8%A7%D8%B4%D8%B1","url":"search?q=%23%D8%A7%D9%84%D9%81%D8%A7%D8%B4%D8%B1","volume":60800,"volumeShort":"59.9K","domainContext":"Only on X","groupedTrends":[]},"3":{"name":"\u0623\u0644\u0645\u0627\u0646\u064a\u0627","query":"%D8%A3%D9%84%D9%85%D8%A7%D9%86%D9%8A%D8%A7","url":"search?q=%D8%A3%D9%84%D9%85%D8%A7%D9%86%D9%8A%D8%A7","volume":2539,"volumeShort":"2,539","domainContext":"","groupedTrends":[]},"4":{"name":"\u062a\u0634\u0627\u0628\u064a","query":"%D8%AA%D8%B4%D8%A7%D8%A8%D9%8A","url":"search?q=%D8%AA%D8%B4%D8%A7%D8%A8%D9%8A","volume":2700,"volumeShort":"2,700","domainContext":"","groupedTrends":[]},"5":{"name":"\u0628\u0646 \u0632\u0627\u064a\u062f","query":"%D8%A8%D9%86+%D8%B2%D8%A7%D9%8A%D8%AF","url":"search?q=%22%D8%A8%D9%86+%D8%B2%D8%A7%D9%8A%D8%AF%22","volume":18200,"volumeShort":"17.6K","domainContext":"","groupedTrends":[]},"6":{"name":"\u0643\u0627\u0633 \u0627\u0644\u062c\u0632\u0627\u064a\u0631 \u0627\u0644\u0639\u0633\u0643\u0631\u064a\u0647","query":"%D9%83%D8%A7%D8%B3+%D8%A7%D9%84%D8%AC%D8%B2%D8%A7%D9%8A%D8%B1+%D8%A7%D9%84%D8%B9%D8%B3%D9%83%D8%B1%D9%8A%D9%87","url":"search?q=%22%D9%83%D8%A7%D8%B3+%D8%A7%D9%84%D8%AC%D8%B2%D8%A7%D9%8A%D8%B1+%D8%A7%D9%84%D8%B9%D8%B3%D9%83%D8%B1%D9%8A%D9%87%22","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"7":{"name":"#e\u015frefr\u00fcya","query":"%23e%C5%9Frefr%C3%BCya","url":"search?q=%23e%C5%9Frefr%C3%BCya","volume":33800,"volumeShort":"33.4K","domainContext":"","groupedTrends":[]},"8":{"name":"\u0627\u0644\u062c\u0632\u0627\u064a\u0631 \u0627\u0644\u062f\u0648\u0644\u064a","query":"%D8%A7%D9%84%D8%AC%D8%B2%D8%A7%D9%8A%D8%B1+%D8%A7%D9%84%D8%AF%D9%88%D9%84%D9%8A","url":"search?q=%22%D8%A7%D9%84%D8%AC%D8%B2%D8%A7%D9%8A%D8%B1+%D8%A7%D9%84%D8%AF%D9%88%D9%84%D9%8A%22","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"9":{"name":"\u0627\u0644\u062d\u0643\u0645 \u0627\u0644\u0630\u0627\u062a\u064a","query":"%D8%A7%D9%84%D8%AD%D9%83%D9%85+%D8%A7%D9%84%D8%B0%D8%A7%D8%AA%D9%8A","url":"search?q=%22%D8%A7%D9%84%D8%AD%D9%83%D9%85+%D8%A7%D9%84%D8%B0%D8%A7%D8%AA%D9%8A%22","volume":2168,"volumeShort":"2,168","domainContext":"","groupedTrends":[]},"10":{"name":"28 \u0627\u0643\u062a\u0648\u0628\u0631 2025","query":"28+%D8%A7%D9%83%D8%AA%D9%88%D8%A8%D8%B1+2025","url":"search?q=%2228+%D8%A7%D9%83%D8%AA%D9%88%D8%A8%D8%B1+2025%22","volume":3663,"volumeShort":"3,663","domainContext":"","groupedTrends":[]},"11":{"name":"\u0645\u062c\u0644\u0633 \u0627\u0644\u0627\u0645\u0646","query":"%D9%85%D8%AC%D9%84%D8%B3+%D8%A7%D9%84%D8%A7%D9%85%D9%86","url":"search?q=%22%D9%85%D8%AC%D9%84%D8%B3+%D8%A7%D9%84%D8%A7%D9%85%D9%86%22","volume":7124,"volumeShort":"7,124","domainContext":"","groupedTrends":[]},"12":{"name":"\u0645\u062d\u0645\u062f","query":"%D9%85%D8%AD%D9%85%D8%AF","url":"search?q=%D9%85%D8%AD%D9%85%D8%AF","volume":172000,"volumeShort":"172K","domainContext":"","groupedTrends":[]},"13":{"name":"#\u0648\u0647\u0631\u0627\u0646","query":"%23%D9%88%D9%87%D8%B1%D8%A7%D9%86","url":"search?q=%23%D9%88%D9%87%D8%B1%D8%A7%D9%86","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"14":{"name":"#\u0627\u0644\u0635\u062d\u0631\u0627\u0621_\u0627\u0644\u063a\u0631\u0628\u064a\u0647","query":"%23%D8%A7%D9%84%D8%B5%D8%AD%D8%B1%D8%A7%D8%A1_%D8%A7%D9%84%D8%BA%D8%B1%D8%A8%D9%8A%D9%87","url":"search?q=%23%D8%A7%D9%84%D8%B5%D8%AD%D8%B1%D8%A7%D8%A1_%D8%A7%D9%84%D8%BA%D8%B1%D8%A8%D9%8A%D9%87","volume":1694,"volumeShort":"1,694","domainContext":"","groupedTrends":[]},"15":{"name":"\u0627\u0644\u0648\u0632\u064a\u0631 \u0627\u0644\u0627\u0648\u0644","query":"%D8%A7%D9%84%D9%88%D8%B2%D9%8A%D8%B1+%D8%A7%D9%84%D8%A7%D9%88%D9%84","url":"search?q=%22%D8%A7%D9%84%D9%88%D8%B2%D9%8A%D8%B1+%D8%A7%D9%84%D8%A7%D9%88%D9%84%22","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"16":{"name":"#\u0627\u0644\u0645\u063a\u0631\u0628_\u0627\u0636\u062d\u0648\u0643\u0647_\u0627\u0644\u0639\u0627\u0644\u0645","query":"%23%D8%A7%D9%84%D9%85%D8%BA%D8%B1%D8%A8_%D8%A7%D8%B6%D8%AD%D9%88%D9%83%D9%87_%D8%A7%D9%84%D8%B9%D8%A7%D9%84%D9%85","url":"search?q=%23%D8%A7%D9%84%D9%85%D8%BA%D8%B1%D8%A8_%D8%A7%D8%B6%D8%AD%D9%88%D9%83%D9%87_%D8%A7%D9%84%D8%B9%D8%A7%D9%84%D9%85","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"17":{"name":"\u0639\u0644\u064a \u0648\u062c\u0647 \u0627\u0644\u0627\u0631\u0636","query":"%D8%B9%D9%84%D9%8A+%D9%88%D8%AC%D9%87+%D8%A7%D9%84%D8%A7%D8%B1%D8%B6","url":"search?q=%22%D8%B9%D9%84%D9%8A+%D9%88%D8%AC%D9%87+%D8%A7%D9%84%D8%A7%D8%B1%D8%B6%22","volume":2052,"volumeShort":"2,052","domainContext":"","groupedTrends":[]},"18":{"name":"Japan","query":"Japan","url":"search?q=Japan","volume":563000,"volumeShort":"563K","domainContext":"Politics","groupedTrends":[]},"19":{"name":"Sudan","query":"Sudan","url":"search?q=Sudan","volume":706000,"volumeShort":"706K","domainContext":"Politics","groupedTrends":[]},"20":{"name":"\u0628\u064a\u062f\u0631\u064a","query":"%D8%A8%D9%8A%D8%AF%D8%B1%D9%8A","url":"search?q=%D8%A8%D9%8A%D8%AF%D8%B1%D9%8A","volume":6302,"volumeShort":"6,302","domainContext":"","groupedTrends":[]},"21":{"name":"\u0628\u0627\u0631\u064a\u0633","query":"%D8%A8%D8%A7%D8%B1%D9%8A%D8%B3","url":"search?q=%D8%A8%D8%A7%D8%B1%D9%8A%D8%B3","volume":7238,"volumeShort":"7,238","domainContext":"Sports","groupedTrends":[]},"22":{"name":"\u0628\u0644\u0627\u062f \u0627\u0644\u0645\u0633\u0644\u0645\u064a\u0646","query":"%D8%A8%D9%84%D8%A7%D8%AF+%D8%A7%D9%84%D9%85%D8%B3%D9%84%D9%85%D9%8A%D9%86","url":"search?q=%22%D8%A8%D9%84%D8%A7%D8%AF+%D8%A7%D9%84%D9%85%D8%B3%D9%84%D9%85%D9%8A%D9%86%22","volume":2170,"volumeShort":"2,170","domainContext":"","groupedTrends":[]},"23":{"name":"\u062d\u0641\u062a\u0631","query":"%D8%AD%D9%81%D8%AA%D8%B1","url":"search?q=%D8%AD%D9%81%D8%AA%D8%B1","volume":2112,"volumeShort":"2,112","domainContext":"","groupedTrends":[]},"24":{"name":"\u0627\u0644\u064a\u0645\u0646","query":"%D8%A7%D9%84%D9%8A%D9%85%D9%86","url":"search?q=%D8%A7%D9%84%D9%8A%D9%85%D9%86","volume":38400,"volumeShort":"38.2K","domainContext":"","groupedTrends":[]},"25":{"name":"\u0639\u0644\u064a \u0627\u0644\u0627\u0630\u0627\u0639\u0647","query":"%D8%B9%D9%84%D9%8A+%D8%A7%D9%84%D8%A7%D8%B0%D8%A7%D8%B9%D9%87","url":"search?q=%22%D8%B9%D9%84%D9%8A+%D8%A7%D9%84%D8%A7%D8%B0%D8%A7%D8%B9%D9%87%22","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"26":{"name":"\u0627\u0644\u0633\u064a\u0627\u062f\u0647 \u0627\u0644\u0648\u0637\u0646\u064a\u0647","query":"%D8%A7%D9%84%D8%B3%D9%8A%D8%A7%D8%AF%D9%87+%D8%A7%D9%84%D9%88%D8%B7%D9%86%D9%8A%D9%87","url":"search?q=%22%D8%A7%D9%84%D8%B3%D9%8A%D8%A7%D8%AF%D9%87+%D8%A7%D9%84%D9%88%D8%B7%D9%86%D9%8A%D9%87%22","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"27":{"name":"\u0627\u0644\u062c\u0627\u0645\u0639\u0647 \u0627\u0644\u0639\u0631\u0628\u064a\u0647","query":"%D8%A7%D9%84%D8%AC%D8%A7%D9%85%D8%B9%D9%87+%D8%A7%D9%84%D8%B9%D8%B1%D8%A8%D9%8A%D9%87","url":"search?q=%22%D8%A7%D9%84%D8%AC%D8%A7%D9%85%D8%B9%D9%87+%D8%A7%D9%84%D8%B9%D8%B1%D8%A8%D9%8A%D9%87%22","volume":2290,"volumeShort":"2,290","domainContext":"","groupedTrends":[]},"28":{"name":"\u0647\u0648\u0627\u0631\u064a \u0628\u0648\u0645\u062f\u064a\u0646","query":"%D9%87%D9%88%D8%A7%D8%B1%D9%8A+%D8%A8%D9%88%D9%85%D8%AF%D9%8A%D9%86","url":"search?q=%22%D9%87%D9%88%D8%A7%D8%B1%D9%8A+%D8%A8%D9%88%D9%85%D8%AF%D9%8A%D9%86%22","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"29":{"name":"\u0627\u0644\u062c\u0632\u0627\u064a\u0631 \u0627\u0644\u0639\u0627\u0635\u0645\u0647","query":"%D8%A7%D9%84%D8%AC%D8%B2%D8%A7%D9%8A%D8%B1+%D8%A7%D9%84%D8%B9%D8%A7%D8%B5%D9%85%D9%87","url":"search?q=%22%D8%A7%D9%84%D8%AC%D8%B2%D8%A7%D9%8A%D8%B1+%D8%A7%D9%84%D8%B9%D8%A7%D8%B5%D9%85%D9%87%22","volume":1000,"volumeShort":"1k","domainContext":"","groupedTrends":[]},"30":{"name":"\u0639\u064a\u0627\u0644 \u0632\u0627\u064a\u062f","query":"%D8%B9%D9%8A%D8%A7%D9%84+%D8%B2%D8%A7%D9%8A%D8%AF","url":"search?q=%22%D8%B9%D9%8A%D8%A7%D9%84+%D8%B2%D8%A7%D9%8A%D8%AF%22","volume":2066,"volumeShort":"2,066","domainContext":"","groupedTrends":[]},"31":{"name":"\u0634\u0631\u0645 \u0627\u0644\u0634\u064a\u062e","query":"%D8%B4%D8%B1%D9%85+%D8%A7%D9%84%D8%B4%D9%8A%D8%AE","url":"search?q=%22%D8%B4%D8%B1%D9%85+%D8%A7%D9%84%D8%B4%D9%8A%D8%AE%22","volume":2522,"volumeShort":"2,522","domainContext":"","groupedTrends":[]},"32":{"name":"\u0627\u0644\u0642\u0631\u0627\u0646 \u0627\u0644\u0643\u0631\u064a\u0645","query":"%D8%A7%D9%84%D9%82%D8%B1%D8%A7%D9%86+%D8%A7%D9%84%D9%83%D8%B1%D9%8A%D9%85","url":"search?q=%22%D8%A7%D9%84%D9%82%D8%B1%D8%A7%D9%86+%D8%A7%D9%84%D9%83%D8%B1%D9%8A%D9%85%22","volume":7306,"volumeShort":"7,306","domainContext":"","groupedTrends":[]},"33":{"name":"\u00c9tats-Unis","query":"%C3%89tats-Unis","url":"search?q=%C3%89tats-Unis","volume":10800,"volumeShort":"10.4K","domainContext":"","groupedTrends":[]},"34":{"name":"\u0639\u0644\u064a \u0627\u0644\u0638\u0627\u0644\u0645\u064a\u0646","query":"%D8%B9%D9%84%D9%8A+%D8%A7%D9%84%D8%B8%D8%A7%D9%84%D9%85%D9%8A%D9%86"}},"_note":"Response truncated for documentation purposes"}
curl --location --request POST 'https://zylalabs.com/api/3198/twitter+trend+analysis+api/20773/trends?woeid=1' --header 'Authorization: Bearer YOUR_API_KEY'
| 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.
To use this API, users will have to indicate the place ID of a country to obtain Twitter trends.
Twitter Trend Analysis API is a service that provides users with programmatic and location-based Twitter trends for in-depth analysis and integration into applications.
There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.
Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.
This endpoint returns a list of geographic locations available for trend analysis, including country names, place IDs, and location types. The response is structured in JSON format, providing users with essential information to select their desired location for further analysis.
The response includes fields such as "name" (location name), "placeID" (unique identifier), "locationType" (type of location), and an array of "trends" with details like "name," "postCount," "domain," "rank," and URLs for mobile and web access.
Users can customize requests by specifying the "place ID" parameter in the "GET Trendings by location" endpoint to retrieve trends for a specific geographic area. This allows for targeted analysis based on user-defined locations.
This endpoint provides information on trending topics within a specified location, including the trend name, post count, associated domain, and rank. This data helps users understand local conversations and interests.
The response data is organized in a structured JSON format. For example, the "GET Trendings by location" endpoint returns a main object containing status and message fields, followed by a "trending" object that includes location details and an array of trends.
The data is sourced directly from Twitter's vast database of tweets and user interactions. This ensures that the trends reflect real-time social media conversations, providing users with accurate and relevant insights.
Typical use cases include localized marketing campaigns, event planning, news aggregation, brand sentiment analysis, and community engagement. These applications leverage trending topics to enhance relevance and user interaction.
Users can analyze the trends to identify popular topics, gauge public sentiment, and tailor content or marketing strategies accordingly. The provided URLs for mobile and web access allow users to engage directly with trending topics on Twitter.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
To obtain your API key, you first need to sign in to your account and subscribe to the API you want to use. Once subscribed, go to your Profile, open the Subscription section, and select the specific API. Your API key will be available there and can be used to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
If you don’t cancel before the 7th day, your free trial will end automatically and your subscription will switch to a paid plan under the same plan you originally subscribed to, meaning you will be charged and gain access to the API calls included in that plan.
The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost, so you can test our APIs without any commitment.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
Service Level:
100%
Response Time:
400ms
Service Level:
100%
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396ms
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100%
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57ms
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100%
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849ms
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19ms
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100%
Response Time:
934ms
Service Level:
100%
Response Time:
1,048ms
Service Level:
100%
Response Time:
4,787ms
Service Level:
100%
Response Time:
2,566ms
Service Level:
100%
Response Time:
463ms
Service Level:
100%
Response Time:
123ms
Service Level:
100%
Response Time:
213ms
Service Level:
100%
Response Time:
183ms
Service Level:
100%
Response Time:
87ms
Service Level:
100%
Response Time:
1,463ms
Service Level:
100%
Response Time:
104ms
Service Level:
100%
Response Time:
93ms
Service Level:
100%
Response Time:
255ms
Service Level:
100%
Response Time:
196ms
Service Level:
100%
Response Time:
157ms