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Scrapes tweets by hashtags with comprehensive metadata extraction and intelligent rate limit handling.
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$3.00 / 1,000 results
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You can access the Twitter Hashtag 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.
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Example: ['technology', 'ai', 'python']", "default": [ "ai" ], "items": { "type": "string" } }, "max_tweets": { "title": "Maximum Total Tweets", "minimum": 1, "type": "integer", "description": "Maximum number of tweets to collect across all hashtags", "default": 100 }, "enable_deduplication": { "title": "Enable Tweet Deduplication", "type": "boolean", "description": "Remove duplicate tweets based on tweet ID", "default": true }, "max_age_hint_minutes": { "title": "Maximum Tweet Age (Minutes)", "minimum": 1, "type": "integer", "description": "Only collect tweets from the last X minutes (helps with rate limiting and relevancy). Note: twscrape uses date-based filtering, so this will be converted to a date range.", "default": 1440 }, "cookies": { "title": "Twitter Account Cookies (Array of Account Objects)", "minItems": 1, "type": "array", "description": "Array of Twitter account objects with cookies. Each account should have 'username' and 'cookies'. You can add multiple accounts for automatic rotation. To get cookies: 1) Log into Twitter, 2) Install EditThisCookie extension, 3) Click extension icon on twitter.com/x.com, 4) Click 'Export', 5) Copy the JSON array. twscrape will automatically extract required cookies (auth_token, ct0, etc.)", "default": [ { "username": "my_twitter_username", "cookies": [ { "domain": ".x.com", "expirationDate": 1800212493.332707, "hostOnly": false, "httpOnly": true, "name": "auth_token", "path": "/", "sameSite": "no_restriction", "secure": true, "session": false, "storeId": null, "value": "YOUR_AUTH_TOKEN_HERE" }, { "domain": ".x.com", "expirationDate": 1769775015.684235, "hostOnly": false, "httpOnly": false, "name": "guest_id", "path": "/", "sameSite": "no_restriction", "secure": true, "session": false, "storeId": null, "value": "v1%3A173782152441183610" }, { "domain": ".x.com", "expirationDate": 1799694756.211591, "hostOnly": false, "httpOnly": false, "name": "twid", "path": "/", "sameSite": "no_restriction", "secure": true, "session": false, "storeId": null, "value": "u%3D1940951682084753409" }, { "domain": ".x.com", "expirationDate": 1800212493.733603, "hostOnly": false, "httpOnly": false, "name": "ct0", "path": "/", "sameSite": "lax", "secure": true, "session": false, "storeId": null, "value": "YOUR_CT0_TOKEN_HERE" }, { "domain": ".x.com", "expirationDate": 1802718756.211428, "hostOnly": false, "httpOnly": false, "name": "guest_id_ads", "path": "/", "sameSite": "no_restriction", "secure": true, "session": false, "storeId": null, "value": "v1%3A173782152441183610" }, { "domain": ".x.com", "expirationDate": 1802718756.211544, "hostOnly": false, "httpOnly": false, "name": "guest_id_marketing", "path": "/", "sameSite": "no_restriction", "secure": true, "session": false, "storeId": null, "value": "v1%3A173782152441183610" }, { "domain": ".x.com", "expirationDate": 1800212493.332523, "hostOnly": false, "httpOnly": true, "name": "kdt", "path": "/", "sameSite": null, "secure": true, "session": false, "storeId": null, "value": "YOUR_KDT_TOKEN_HERE" }, { "domain": ".x.com", "expirationDate": 1800212482.973098, "hostOnly": false, "httpOnly": false, "name": "personalization_id", "path": "/", "sameSite": "no_restriction", "secure": true, "session": false, "storeId": null, "value": "\"v1_2lEp5dY/+UVKvgytRPqDHA==\"" } ] } ] }, "search_type": { "title": "Search Type", "enum": [ "Latest", "Top" ], "type": "string", "description": "Type of search to perform. 'Latest' shows most recent tweets, 'Top' shows most popular tweets.", "default": "Latest" }, "min_likes": { "title": "Minimum Likes", "minimum": 0, "type": "integer", "description": "Only collect tweets with at least this many likes (optional filter)", "default": 0 }, "min_retweets": { "title": "Minimum Retweets", "minimum": 0, "type": "integer", "description": "Only collect tweets with at least this many retweets (optional filter)", "default": 0 }, "language": { "title": "Tweet Language", "type": "string", "description": "Filter tweets by language (ISO 639-1 code). Leave empty for all languages. Examples: 'en' (English), 'es' (Spanish), 'fr' (French), 'ja' (Japanese)", "default": "" } } }, "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 Hashtag Tweet Scraper from the options below:
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