X Twitter Scraper: Tweets, Replies, Followers (No Mock Data)
Pricing
from $0.25 / 1,000 tweets
Twitter scraper for X: tweets by search, profile, link or replies, plus followers and following. Exact limits, real date filters, no mock data, and you pay only for real, unique rows.
You can access the X Twitter Scraper: Tweets, Replies, Followers (No Mock Data) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "m7sTkFhotL0n3Xqb8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/himanshu-data~x-twitter-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-himanshu-data-x-twitter-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/himanshu-data~x-twitter-scraper/runs": { "post": { "operationId": "runs-sync-himanshu-data-x-twitter-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/himanshu-data~x-twitter-scraper/run-sync": { "post": { "operationId": "run-sync-himanshu-data-x-twitter-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchTerms": { "title": "Search terms", "type": "array", "description": "X search queries, one per line. Advanced operators work: from:nasa, since:2024-01-01, min_faves:100, lang:en, -filter:replies and more.", "items": { "type": "string" } }, "searchSort": { "title": "Search sort", "enum": [ "Latest", "Top" ], "type": "string", "description": "Latest gives the newest tweets first. Top gives what X ranks as most relevant.", "default": "Latest" }, "profiles": { "title": "Profiles", "type": "array", "description": "Get the tweets of these accounts. Handles or profile links: nasa, @nasa or https://x.com/nasa. One per line.", "items": { "type": "string" } }, "includeReplies": { "title": "Include the profile's own replies", "type": "boolean", "description": "On: profile tweets also include replies the account posted.", "default": false }, "tweetUrls": { "title": "Tweet links or IDs", "type": "array", "description": "Fetch these tweets directly, e.g. https://x.com/nasa/status/1234567890123456789 or just the ID. One per line.", "items": { "type": "string" } }, "repliesOf": { "title": "Replies of tweets", "type": "array", "description": "Collect the replies to these tweets. Tweet links or IDs, one per line.", "items": { "type": "string" } }, "followersOf": { "title": "Followers of", "type": "array", "description": "Collect the followers of these accounts (one row per user). Handles or profile links, one per line.", "items": { "type": "string" } }, "followingOf": { "title": "Following of", "type": "array", "description": "Collect the accounts these accounts follow (one row per user). Handles or profile links, one per line.", "items": { "type": "string" } }, "maxItems": { "title": "Max rows per input item", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Maximum rows for each search term, profile, tweet's replies or handle's followers. Enforced exactly: the last page is trimmed.", "default": 100 }, "maxTotalItems": { "title": "Max rows for the whole run", "minimum": 1, "maximum": 10000000, "type": "integer", "description": "Optional hard cap across all input items. Leave empty for no total cap." }, "startDate": { "title": "From date", "type": "string", "description": "Only tweets posted on or after this day (UTC). Tweets outside the range are skipped and not charged." }, "endDate": { "title": "To date", "type": "string", "description": "Only tweets posted on or before this day (UTC, the whole day is included)." }, "minLikes": { "title": "Min likes", "minimum": 0, "type": "integer", "description": "Skip tweets with fewer likes." }, "minRetweets": { "title": "Min retweets", "minimum": 0, "type": "integer", "description": "Skip tweets with fewer retweets." }, "minReplies": { "title": "Min replies", "minimum": 0, "type": "integer", "description": "Skip tweets with fewer replies." }, "minViews": { "title": "Min views", "minimum": 0, "type": "integer", "description": "Skip tweets with fewer views. Tweets with an unknown view count are skipped when this is set." }, "language": { "title": "Language", "pattern": "^([A-Za-z]{2})?$", "type": "string", "description": "Two-letter language code, e.g. en, es, ja. Only tweets in this language." }, "excludeRetweets": { "title": "Exclude retweets", "type": "boolean", "description": "Skip retweets.", "default": false }, "excludeReplies": { "title": "Exclude replies", "type": "boolean", "description": "Skip tweets that are replies.", "default": false }, "onlyWithMedia": { "title": "Only tweets with media", "type": "boolean", "description": "Only tweets with a photo, video or GIF.", "default": false }, "onlyVerifiedAuthors": { "title": "Only verified authors", "type": "boolean", "description": "Only tweets by verified accounts (legacy or blue check).", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for X Twitter Scraper: Tweets, Replies, Followers (No Mock Data) from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: