# Twitter (X) Scraper Unlimited (`prodiger/twitter-x-scraper-unlimited`) Actor Extract tweet URL data from public Twitter/X links. Pay-per-event pricing copied from Twitter Scraper Unlimited style, with slightly cheaper rates. - **URL**: https://apify.com/prodiger/twitter-x-scraper-unlimited.md - **Developed by:** [Arnas](https://apify.com/prodiger) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Twitter (X) Scraper Unlimited Extract public Twitter/X tweet URL data with transparent pay-per-event pricing. This actor starts with direct tweet URL extraction and uses a pricing structure copied from Twitter Scraper Unlimited, with slightly cheaper rates. ### Pricing Pay-per-event pricing. Paid-plan rates are slightly cheaper than the Twitter Scraper Unlimited pricing snapshot: | Event | Free | Paid plans | | --- | ---: | ---: | | Search/profile/list query | $1.500 | $0.015 | | Single tweet URL query | $0.475 | $0.0475 | | Dataset item tier 1 (<=5 queries) | $0.038 / item | $0.00038 / item | | Dataset item tier 2 (6-10 queries) | $0.076 / item | $0.00076 / item | | Dataset item tier 3 (11-30 queries) | $0.114 / item | $0.00114 / item | | Dataset item tier 4 (31-100 queries) | $0.152 / item | $0.00152 / item | | Dataset item tier 5 (>100 queries) | $0.190 / item | $0.00190 / item | ### Input ```json { "startUrls": [ { "url": "https://x.com/elonmusk/status/1728108619189874825" } ], "maxItems": 10 } ```` `searchTerms`, `twitterHandles`, and list/profile/search URLs are accepted in the input schema for compatibility with the reference actor. v0.1 only supports direct tweet URL extraction. ### Output ```json { "type": "tweet", "id": "1728108619189874825", "url": "https://x.com/elonmusk/status/1728108619189874825", "text": "Tweet text extracted from Twitter embed HTML", "authorName": "Elon Musk", "authorUrl": "https://twitter.com/elonmusk", "sourceUrl": "https://x.com/elonmusk/status/1728108619189874825", "scrapedAt": "2026-05-20T15:00:00.000Z" } ``` ### Changelog #### 0.1 - Initial separate Twitter actor scaffold. - Added Twitter Scraper Unlimited-compatible input shape. - Added slightly cheaper pay-per-event pricing contract. - Added direct tweet URL extraction via Twitter publish embed metadata. # Actor input Schema ## `searchTerms` (type: `array`): Twitter advanced search terms. Accepted for compatibility with Twitter Scraper Unlimited input. ## `sort` (type: `string`): Sorts search results. Latest + Top runs both modes in the source actor; this actor accepts the value for compatibility. ## `maxItems` (type: `integer`): Maximum number of tweets to retrieve. ## `start` (type: `string`): Scrape tweets starting from this date. ## `end` (type: `string`): Scrape tweets until this date. ## `twitterHandles` (type: `array`): Twitter handles to scrape. Accepted for compatibility with Twitter Scraper Unlimited input. ## `startUrls` (type: `array`): Twitter/X URLs to scrape. Tweet URLs are supported in v0.1. ## `includeSearchTerms` (type: `boolean`): If selected, include the search term that produced each tweet. ## Actor input object example ```json { "searchTerms": [ "from:NASA" ], "sort": "Latest", "maxItems": 10, "startUrls": [ { "url": "https://x.com/elonmusk/status/1728108619189874825" } ], "includeSearchTerms": false } ``` # Actor output Schema ## `tweets` (type: `string`): Scraped Twitter/X tweet records. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchTerms": [ "from:NASA" ], "startUrls": [ { "url": "https://x.com/elonmusk/status/1728108619189874825" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("prodiger/twitter-x-scraper-unlimited").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchTerms": ["from:NASA"], "startUrls": [{ "url": "https://x.com/elonmusk/status/1728108619189874825" }], } # Run the Actor and wait for it to finish run = client.actor("prodiger/twitter-x-scraper-unlimited").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerms": [ "from:NASA" ], "startUrls": [ { "url": "https://x.com/elonmusk/status/1728108619189874825" } ] }' | apify call prodiger/twitter-x-scraper-unlimited --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=prodiger/twitter-x-scraper-unlimited", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter (X) Scraper Unlimited", "description": "Extract tweet URL data from public Twitter/X links. Pay-per-event pricing copied from Twitter Scraper Unlimited style, with slightly cheaper rates.", "version": "0.1", "x-build-id": "2i1P6qMYv15fFdjdC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/prodiger~twitter-x-scraper-unlimited/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-prodiger-twitter-x-scraper-unlimited", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/prodiger~twitter-x-scraper-unlimited/runs": { "post": { "operationId": "runs-sync-prodiger-twitter-x-scraper-unlimited", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/prodiger~twitter-x-scraper-unlimited/run-sync": { "post": { "operationId": "run-sync-prodiger-twitter-x-scraper-unlimited", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "What search terms do you want to scrape?", "type": "array", "description": "Twitter advanced search terms. Accepted for compatibility with Twitter Scraper Unlimited input.", "items": { "type": "string" } }, "sort": { "title": "Do you want to filter by content?", "enum": [ "Top", "Latest", "Latest + Top" ], "type": "string", "description": "Sorts search results. Latest + Top runs both modes in the source actor; this actor accepts the value for compatibility.", "default": "Latest" }, "maxItems": { "title": "Maximum number of tweets", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of tweets to retrieve.", "default": 10 }, "start": { "title": "Tweets from this date", "type": "string", "description": "Scrape tweets starting from this date." }, "end": { "title": "Tweets until this date", "type": "string", "description": "Scrape tweets until this date." }, "twitterHandles": { "title": "Do you want to scrape by Twitter handle?", "type": "array", "description": "Twitter handles to scrape. Accepted for compatibility with Twitter Scraper Unlimited input.", "items": { "type": "string" } }, "startUrls": { "title": "Do you want to scrape by Twitter URL?", "type": "array", "description": "Twitter/X URLs to scrape. Tweet URLs are supported in v0.1.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "includeSearchTerms": { "title": "Include Search Terms", "type": "boolean", "description": "If selected, include the search term that produced each tweet.", "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 } } }, "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 } } } } } } } } } } ```