Twitter Tweet Scraper
Pricing
from $4.00 / 1,000 results
Extract tweets from X/Twitter using search queries, profile URLs, and direct tweet URLs. Get tweet text, engagement metrics, media, and author info — fast, reliable, and cost-effective.
Pricing
from $4.00 / 1,000 results
Rating
0.0
(0)
Developer
HappiTap
Actor stats
0
Bookmarked
10
Total users
5
Monthly active users
an hour ago
Last modified
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You can access the Twitter Tweet Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "W6OBfEDnapgoXj0ux" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/happitap~twitter-tweet-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-happitap-twitter-tweet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/happitap~twitter-tweet-scraper/runs": { "post": { "operationId": "runs-sync-happitap-twitter-tweet-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/happitap~twitter-tweet-scraper/run-sync": { "post": { "operationId": "run-sync-happitap-twitter-tweet-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", "required": [ "searchTerms" ], "properties": { "searchTerms": { "title": "Search Terms", "type": "array", "description": "🔍 **Twitter search queries** using [advanced search syntax](https://github.com/igorbrigadir/twitter-advanced-search).\n\nExamples:\n- `from:NASA` — tweets from NASA\n- `#AI lang:en` — English tweets with #AI\n- `from:elonmusk since:2024-01-01 until:2024-06-01` — date range\n- `bitcoin min_faves:1000` — tweets with 1000+ likes\n- `(puppy OR kitten) -filter:retweets` — exclude retweets\n\n💡 **Tip**: Test your query on Twitter search first!", "default": [ "from:NASA" ], "items": { "type": "string" } }, "startUrls": { "title": "Tweet or Profile URLs", "type": "array", "description": "📎 **Direct URLs to scrape**\n\nSupported:\n- Tweet URL: `https://x.com/user/status/123456`\n- Profile URL: `https://x.com/NASA` (scrapes recent tweets)\n\n💡 Leave empty if using search terms above.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Tweets", "minimum": 1, "maximum": 100000, "type": "integer", "description": "📊 **Maximum number of tweets to extract**\n\n- Testing: 10-50\n- Small project: 100-500\n- Large project: 1000+\n\n💰 Cost: $0.40 per 1,000 tweets", "default": 100 }, "sort": { "title": "Sort Order", "enum": [ "Latest", "Top" ], "type": "string", "description": "📈 **How to sort search results**\n\n- **Latest**: Newest tweets first (recommended)\n- **Top**: Most popular tweets first", "default": "Latest" }, "tweetLanguage": { "title": "Tweet Language", "type": "string", "description": "🌍 **Filter by language** (optional)\n\nISO language codes: `en`, `es`, `fr`, `de`, `ja`, `pt`, etc.\n\nLeave empty for all languages." }, "includeReplies": { "title": "Include Replies", "type": "boolean", "description": "💬 **Include reply tweets in results?**\n\nDisable to get only original tweets.", "default": true }, "includeRetweets": { "title": "Include Retweets", "type": "boolean", "description": "🔁 **Include retweets in results?**\n\nDisable to get only original content.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "🌐 **Proxy settings** (Advanced)\n\nResidential proxies are strongly recommended for Twitter scraping.\n\n💡 Leave default for best results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "scrollTimeout": { "title": "Scroll Timeout (seconds)", "minimum": 10, "maximum": 120, "type": "integer", "description": "⏱️ **Max seconds to wait for new tweets while scrolling**\n\nIncrease if you're getting fewer results than expected.", "default": 30 } } }, "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 } } } } } } } } }}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 Twitter Tweet Scraper from the options below:
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