Scweet Twitter (X) Scraper — Pay-Per-Result $0.30 / 1 k avatar
Scweet Twitter (X) Scraper — Pay-Per-Result $0.30 / 1 k

Pricing

$0.30 / 1,000 tweets

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Scweet Twitter (X) Scraper — Pay-Per-Result $0.30 / 1 k

Scweet Twitter (X) Scraper — Pay-Per-Result $0.30 / 1 k

Developed by

JEB

JEB

Maintained by Community

Open-source powered Twitter/X scraper. Filter by keywords, hashtags, users, dates; export JSON/CSV. Free demo, 1 000 tweets/min, unlimited scale for $0.30 / 1k tweets.

5.0 (2)

Pricing

$0.30 / 1,000 tweets

8

Total users

232

Monthly users

66

Runs succeeded

>99%

Issues response

18 hours

Last modified

15 days ago

You can access the Scweet Twitter (X) Scraper — Pay-Per-Result $0.30 / 1 k 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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"components": {
"schemas": {
"inputSchema": {
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"words_and": {
"title": "Words (AND)",
"type": "array",
"description": "Each word in this list must appear in the tweet. The word shouldn't contain Spaces.",
"default": [],
"items": {
"type": "string"
}
},
"words_or": {
"title": "Words (OR)",
"type": "array",
"description": "At least one of these words must appear in the tweet. The word shouldn't contain Spaces.",
"default": [],
"items": {
"type": "string"
}
},
"hashtag": {
"title": "Hashtags",
"type": "array",
"description": "List of hashtags to include in the search.",
"default": [],
"items": {
"type": "string"
}
},
"since": {
"title": "Since (Start Date)",
"type": "string",
"description": "Select start date for tweets to scrape (YYYY-MM-DD)."
},
"until": {
"title": "Until (End Date)",
"type": "string",
"description": "Select end date for tweets to scrape (YYYY-MM-DD)."
},
"maxItems": {
"title": "Max Tweets",
"type": "string",
"description": "Maximum number of tweets to attempt to retrieve.",
"default": "1000"
},
"from_user": {
"title": "From User",
"type": "string",
"description": "Scrape tweets from this user (no @). If no words/hashtags were given, the output will contain all the tweets posted by this user in the given date interval.",
"default": ""
},
"to_user": {
"title": "To User",
"type": "string",
"description": "Scrape tweets directed to or replying to this user. If no words/hashtags were given, the output will contain all the tweets directed to/ replaying to this user in the given date interval.",
"default": ""
},
"type": {
"title": "Search Type",
"enum": [
"Top",
"Latest"
],
"type": "string",
"description": "Type of tweets to fetch: 'Top' or 'Latest'.",
"default": "Top"
},
"lang": {
"title": "Language",
"enum": [
"en",
"ab",
"aa",
"af",
"ak",
"sq",
"am",
"ar",
"an",
"hy",
"as",
"av",
"ae",
"ay",
"az",
"bm",
"ba",
"eu",
"be",
"bn",
"bh",
"bi",
"bs",
"br",
"bg",
"my",
"ca",
"ch",
"ce",
"ny",
"zh",
"cv",
"kw",
"co",
"cr",
"hr",
"cs",
"da",
"dv",
"nl",
"eo",
"et",
"ee",
"fo",
"fj",
"fi",
"fr",
"ff",
"gl",
"ka",
"de",
"el",
"gn",
"gu",
"ht",
"ha",
"he",
"iw",
"hz",
"hi",
"ho",
"hu",
"ia",
"id",
"ie",
"ga",
"ig",
"ik",
"io",
"is",
"it",
"iu",
"ja",
"jv",
"kl",
"kn",
"kr",
"ks",
"kk",
"km",
"ki",
"rw",
"ky",
"kv",
"kg",
"ko",
"ku",
"kj",
"la",
"lb",
"lg",
"li",
"ln",
"lo",
"lt",
"lu",
"lv",
"gv",
"mk",
"mg",
"ms",
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"mr",
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"nv",
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"nd",
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"ng",
"nn",
"no",
"ii",
"nr",
"oc",
"oj",
"cu",
"om",
"or",
"os",
"pa",
"pi",
"fa",
"pl",
"ps",
"pt",
"qu",
"rm",
"rn",
"ro",
"ru",
"sa",
"sc",
"sd",
"se",
"sm",
"sg",
"sr",
"gd",
"sn",
"si",
"sk",
"sl",
"so",
"st",
"es",
"su",
"sw",
"ss",
"sv",
"ta",
"te",
"tg",
"th",
"ti",
"bo",
"tk",
"tl",
"tn",
"to",
"tr",
"ts",
"tt",
"tw",
"ty",
"ug",
"uk",
"ur",
"uz",
"ve",
"vi",
"vo",
"wa",
"cy",
"wo",
"fy",
"xh",
"yi",
"yo",
"za"
],
"type": "string",
"description": "Restrict tweets by language (e.g. 'en').",
"default": "en"
},
"verified": {
"title": "Verified users only",
"type": "boolean",
"description": "Filter only tweets with verified users",
"default": false
},
"blue_verified": {
"title": "Blue-verified users only",
"type": "boolean",
"description": "Filter only tweets with blue_verified users",
"default": false
},
"retweets": {
"title": "Only retweets",
"type": "boolean",
"description": "Filter only retweets for other tweets",
"default": false
},
"replies": {
"title": "Only replies",
"type": "boolean",
"description": "Filter only replies to other tweets",
"default": false
},
"mentions": {
"title": "Only tweets with mentions",
"type": "boolean",
"description": "Filter only tweets with mentions",
"default": false
},
"hashtags": {
"title": "Only tweets with hashtags",
"type": "boolean",
"description": "Filter only tweets with hashtags",
"default": false
},
"images": {
"title": "Only Images",
"type": "boolean",
"description": "Filter only tweets that contain images",
"default": false
},
"videos": {
"title": "Only Videos",
"type": "boolean",
"description": "Filter only tweets that contain videos",
"default": false
},
"min_likes": {
"title": "Minimum Likes",
"type": "string",
"description": "Minimum number of likes required (e.g. '10').",
"default": ""
},
"min_replies": {
"title": "Minimum Replies",
"type": "string",
"description": "Minimum number of replies required.",
"default": ""
},
"min_retweets": {
"title": "Minimum Retweets",
"type": "string",
"description": "Minimum number of retweets required.",
"default": ""
},
"geocode": {
"title": "Geocode",
"type": "string",
"description": "Geolocation parameter, e.g. '39.8283,-98.5795,2500km'.",
"default": ""
},
"place": {
"title": "Place ID",
"type": "string",
"description": "Place ID for area-based search (e.g. '96683cc9126741d1').",
"default": ""
},
"near": {
"title": "Near (City)",
"type": "string",
"description": "Name of city or location, e.g. 'Paris'.",
"default": ""
},
"within": {
"title": "within (radius)",
"type": "string",
"description": "Within specific radius of the 'near' operator, e.g. '10km'.",
"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"
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"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
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"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
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"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
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"DATASET_READS": {
"type": "integer",
"example": 0
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"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
}
}
}
}
}
}
}
}
}
}

Scweet Twitter Scraper – Fast X Tweet Scraper ($0.30/1k) OpenAPI definition

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 Scweet Twitter (X) Scraper — Pay-Per-Result $0.30 / 1 k 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: