Twitter Trend Analysis API

The Twitter Trend Analysis API provides information on localized Twitter trends, enabling applications to discover dynamic and relevant content.
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Works with OpenClaw, Claude Code/Desktop, Cursor, Windsurf, Cline and any MCP-compatible AI client.
Docs & setup
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About the API:  

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.

 

What this API receives and what your API provides (input/output)?

It will receive parameters and provide you with a JSON.

 

What are the most common uses cases of this API?

  1. 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.

 

Are there any limitations to your plans?

Besides the number of API calls per month, there are no other limitations. 

API Documentation

Endpoints


Get the top Twitter trends with name, volume, category, and context, allowing you to analyze popular topics and their current relevance.

  1. Algeria : 23424740

  2. Argentina : 23424747

  3. Australia : 23424748

  4. Austria : 23424750

  5. Bahrain : 23424753

  6. Belarus : 23424765

  7. Belgium : 23424757

  8. Brazil : 23424768

  9. Canada : 23424775

  10. Chile : 23424782

  11. Colombia : 23424787

  12. Denmark : 23424796

  13. Dominican Republic : 23424800

  14. Ecuador : 23424801

  15. Egypt : 23424802

  16. France : 23424819

  17. Germany : 23424829

  18. Ghana : 23424824

  19. Greece : 23424833

  20. Guatemala : 23424834

  21. India : 23424848

  22. Indonesia : 23424846

  23. Ireland : 23424803

  24. Israel : 23424852

  25. Italy : 23424853

  26. Japan : 23424856

  27. Jordan : 23424860

  28. Kenya : 23424863

  29. Kuwait : 23424870

  30. Latvia : 23424874

  31. Lebanon : 23424873

  32. Malaysia : 23424901

  33. Mexico : 23424900

  34. Netherlands : 23424909

  35. New Zealand : 23424916

  36. Nigeria : 23424908

  37. Norway : 23424910

  38. Oman : 23424898

  39. Pakistan : 23424922

  40. Panama : 23424924

  41. Peru : 23424919

  42. Philippines : 23424934

  43. Poland : 23424923

  44. Portugal : 23424925

  45. Puerto Rico : 23424935

  46. Qatar : 23424930

  47. Russia : 23424936

  48. Saudi Arabia : 23424938

  49. Singapore : 23424948

  50. South Africa : 23424942

  51. South Korea : 23424868

  52. Spain : 23424950

  53. Sweden : 23424954

  54. Switzerland : 23424957

  55. Thailand : 23424960

  56. Turkey : 23424969

  57. Ukraine : 23424976

  58. United Arab Emirates : 23424738

  59. United Kingdom : 23424975

  60. United States : 23424977

  61. Venezuela : 23424982

  62. Vietnam : 23424984

  63. Worldwide : 1



                                                                            
POST https://zylalabs.com/api/3198/twitter+trend+analysis+api/20773/trends
                                                                            
                                                                        

Trends - Endpoint Features

Object Description
woeid [Required] Enter a Woe ID
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                                                                                                                                        {"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"}
                                                                                                                                                                                                                    
                                                                                                    

Trends - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/3198/twitter+trend+analysis+api/20773/trends?woeid=1' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

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 Twitter Trend Analysis API simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Twitter Trend Analysis API FAQs

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.

General FAQs

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