getTwitterUsersByKeywords
Search for USERS who authored tweets/comments/quotes/retweets matching keywords. USE CASE: Find users who have posted content about specific topics, keywords, or phrases. Returns unique, deduplicated user profiles. RESPONSE MODES (responseType parameter): "fast" (DEFAULT): Returns up to 300 results directly in one call. Use limit param to reduce. Best for quick lookups. "paging": Async paginated results (100/page). Returns operation ID - call checkOperationStatus to get results. Use pageNumber/tableName for subsequent pages. "csv": Async CSV export. Returns dataDumpExportOperationId - call checkOperationStatus to get S3 download link. Best for bulk export. PAGING MODE DETAILS: FIRST CALL: Omit pageNumber and tableName. Creates cached table, returns page 1 with pagination metadata (tableName, totalPages, totalRows). SUBSEQUENT PAGES: Use tableName from first response with pageNumber (2, 3, etc.). BULK FETCH: Use pageNumberEnd with pageNumber and tableName for multiple consecutive pages. QUERY SYNTAX: Plain keywords (bitcoin, climate change), quoted phrases ("deep learning"), boolean expressions (AI AND crypto, bitcoin OR ethereum, politics NOT sports), or parenthesized groups ((startup OR entrepreneur) NOT "venture capital"). AND/OR/NOT must have a term on both sides. @handles like @karpathy are supported. Field operators (from:, lang:) are stripped. Forward slashes are treated as spaces (24/7 becomes 24 7). FILTERS: - startDate/endDate: Filter by tweet date (YYYY-MM-DD format). OMIT by default, only use if user explicitly requests date range. IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended.
language: Filter tweets by language (en, EN, English, es, Spanish, etc.). Optional fields parameter for performance (default: ["id", "username", "name"]). Available fields: id, username, name, description, location, followersCount, followingCount, verified, profileImageUrl, and more. AGGREGATE FIELDS (from matching tweets) - MUST BE EXPLICITLY REQUESTED IN FIELDS: aggRelevance (relevance score for sorting), relevantTweetsCount (count of matching tweets per user), relevantTweetsImpressionsSum, relevantTweetsLikesSum, relevantTweetsQuotesSum, relevantTweetsRepliesSum, relevantTweetsRetweetsSum. These return aggregated metrics from all matched tweets for each user. Returns: results array of unique user profiles, count. In paging mode: pagination object, dataDumpExportOperationId for CSV. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. The response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K). | |
| query | Yes | Full-text search of tweet content to find users who authored matching posts. Searches tweets/comments/quotes/retweets, returns UNIQUE user authors (deduplicated). EXACT PHRASES: Wrap in double quotes - "machine learning" matches that exact phrase. KEYWORDS: Without quotes, matches posts containing any of the words - AI robotics blockchain. BOOLEAN OPERATORS: MUST explicitly use the keywords AND, OR, NOT (uppercase or lowercase). NO implicit operators - space between words means OR by default. Examples requiring explicit operators: Use "deep learning" AND python (not "deep learning python"). Use tensorflow OR pytorch (not "tensorflow pytorch"). PARENTHESES: Group terms for precise logic - (AI OR "artificial intelligence") AND ethics. FORBIDDEN: DO NOT use filter operators with colons (from:, to:, lang:, since:, until:) - use dedicated parameters instead. Query examples: "climate change" | AI OR blockchain | "neural networks" AND python | (startup OR entrepreneur) NOT "venture capital" | |
| fields | No | PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "username", "name"]. AVAILABLE FIELDS: Core: id, username, name, description, location, verified, verifiedType, protected. Engagement: followersCount, followingCount, tweetCount, listedCount, likesCount, mediaCount. Profile: profileImageUrl, profileBannerUrl, profileInterstitialType. Metadata: source, status, pinnedTweetId, isVerified, accountBasedIn, locationAccurate, label, labelType. Advanced: nLang, nLangsFiltered. Timestamps: modifiedAt, createdAt. Account History: verifiedSinceDatetime, usernameChanges, lastUsernameChangeDatetime. Aggregations (from matching tweets, not all tweets of the user): aggRelevance (relevance score), relevantTweetsCount (count of matching tweets), relevantTweetsImpressionsSum, relevantTweetsLikesSum, relevantTweetsQuotesSum, relevantTweetsRepliesSum, relevantTweetsRetweetsSum. EXAMPLES: ["id", "username"] for minimal, ["username", "name", "followersCount", "relevantTweetsLikesSum", "relevantTweetsCount"] to include engagement aggregations. | |
| endDate | No | ||
| _isTrial | No | ||
| feedback | No | Optional. Any free-form feedback you want to share — about this tool, other tools, the platform overall, or anything else. Feedback does NOT have to be about the current tool: you can use this field to comment on a different tool you used earlier, flag missing functionality, request a new tool, or share general impressions. Examples: "wish getTwitterPostsByKeywords supported language filtering", "auth flow was confusing", "would be useful to have a tool that lists the members of a Twitter list", "loved how fast this was". Captured for product feedback; does not affect tool behavior. | |
| language | No | ||
| startDate | No | ||
| tableName | No | Cached table name from previous pagination request. Required when fetching pageNumber > 1. Returned in first page response. | |
| _requestId | No | ||
| pageNumber | No | Page number to fetch (1-indexed). Must be provided with tableName to fetch subsequent pages. Omit for first page. | |
| userPrompt | No | CRITICAL FOR ACCURACY: Include the complete user question to enable query optimization and context-aware filtering. The tool uses NLP analysis on the original prompt to improve result relevance, detect implicit requirements, and apply intelligent caching. Omitting this may result in suboptimal or incomplete results. | |
| _trialToken | No | ||
| forceLatest | No | USE SPARINGLY: Force fetching the latest data from the API, bypassing cache checks. Only use when explicitly required (e.g., "get the latest", "most recent", "real-time"). WARNING: Increases latency and API costs. Default: false (uses intelligent caching). | |
| responseType | No | Response mode. "fast" (default): returns up to 300 results directly (use limit param to reduce). "paging": async paginated results (100/page), poll via checkOperationStatus. "csv": async single CSV download, poll for S3 link. | |
| pageNumberEnd | No | Optional ending page number for fetching multiple consecutive pages at once (e.g., pageNumber=1, pageNumberEnd=5 fetches pages 1-5). Must be >= pageNumber. Omit to fetch single page only. Requires tableName. |