# 🐦 Twitter (X) Search Scraper (`scraper-engine/twitter-search-scraper`) Actor 🐦 Twitter (X) Search Scraper by twitter-search-scraper pulls real-time results from X search queriesβ€”tweets, authors, timestamps & engagement. πŸ”Ž Fast, efficient scraping for brand monitoring, competitor insights, sentiment & lead research. πŸš€ - **URL**: https://apify.com/scraper-engine/twitter-search-scraper.md - **Developed by:** [Scraper Engine](https://apify.com/scraper-engine) (community) - **Categories:** Social media, Lead generation, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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) Search Scraper Extract clean, structured tweets from **X (formerly Twitter) search results** at scale β€” no Twitter API key, no developer account, no fuss. Feed it plain keywords or full **advanced-search operators** and get back tweet text, media, engagement stats, links, and the full author profile. > Built for marketers, researchers, journalists, and data teams who need reliable Twitter/X search data in JSON, CSV, or Excel. --- ### ✨ Why choose this scraper? - 🧠 **Advanced search, simplified** β€” every X operator (`from:`, `to:`, `filter:`, `since:`, `min_faves:`, `lang:`, `near:` …) is exposed as a friendly checkbox or field. - πŸ›°οΈ **Self-healing proxy ladder** β€” starts with no proxy and automatically escalates to **datacenter β†’ residential** the moment X rate-limits you, then sticks with what works. No babysitting. - πŸ’Ύ **Live results** β€” tweets stream into your dataset as they're found, so a long run never loses data. - πŸ‘€ **Rich author data** β€” optionally attach full profile info (followers, bio, location, join date) to every tweet. - πŸ’¬ **Reply threads** β€” pull replies up to 20 levels deep. - πŸ“Š **Per-section output** β€” results are grouped per search query in the key-value store *and* tagged with a `searchQuery` column in the dataset table. --- ### πŸ”‘ Key Features | Feature | Description | |--------|-------------| | πŸ”Ž Bulk queries | Search many terms in one run β€” each is collected separately. | | πŸ”’ Tweet limit | Cap the number of tweets per query. | | πŸ“… Date filters | `since` / `until`, absolute (`2026-01-01`) or relative (`2 days`, `1 month`). | | πŸ“ˆ Engagement filters | Minimum replies / retweets / likes. | | πŸ‘₯ Account filters | From / to / mentioning specific accounts. | | βœ…πŸš« Include & exclude | Media, images, videos, news, verified, links, quotes, replies… | | 🌍 Language | Restrict to any of 40+ languages. | | πŸ’¬ Replies | Recursive reply scraping, depth 0–20. | --- ### πŸ“₯ Input ```json { "searchQueries": ["web scraping", "from:openai filter:videos"], "tweetsDesired": 100, "repliesDepth": 0, "includeUserInfo": true, "since": "2026-01-01", "minLikes": 10, "language": "en", "authToken": "YOUR_X_AUTH_TOKEN_COOKIE", "csrfToken": "YOUR_X_CT0_COOKIE", "proxyConfiguration": { "useApifyProxy": false } } ```` | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array | One or more search terms (plain or advanced syntax). **Bulk input.** | | `tweetsDesired` | integer | Max tweets per query (default 100). | | `repliesDepth` | integer | 0 = none, 1 = direct replies, 2 = replies of replies… (max 20). | | `includeUserInfo` | boolean | Attach the author profile to every tweet. | | `since` / `until` | string | Date window β€” `YYYY-MM-DD` or relative (`1 month`). | | `minReplies` / `minRetweets` / `minLikes` | integer | Engagement floors. | | `fromTheseAccounts` / `toTheseAccounts` / `mentioningTheseAccounts` | array | Account filters. | | `media`, `images`, `videos`, `verified`, … | boolean | Include-only filters. | | `excludeMedia`, `excludeImages`, … | boolean | Exclusion filters. | | `language` | string | Language code or `any`. | | `near` | string | Search near a location. | | `textLengthLessThan` | integer | Keep only short tweets. | | `authToken` / `csrfToken` | string | **Required.** Your X `auth_token` and `ct0` cookies from a logged-in session. | | `proxyConfiguration` | object | Proxy settings (see below). | *** ### πŸ“€ Output Each dataset item is one tweet: ```json { "id": "2058075699500720183", "url": "https://x.com/InduTripat82427/status/2058075699500720183", "verified": true, "username": "@InduTripat82427", "fullname": "Indu Tripathi", "avatar": "https://pbs.twimg.com/profile_images/.../AQwwYH26.jpg", "images": ["https://pbs.twimg.com/amplify_video_thumb/.../img.jpg"], "timestamp": "2026-05-23T06:40:58.000Z", "text": "Web scraping just leveled up …", "links": [], "isQuote": false, "isRetweet": false, "isReply": false, "likes": 370, "replies": 30, "retweets": 83, "quotes": 0, "searchQuery": "web scraping", "media": [{ "type": "video", "url": "https://video.twimg.com/.../m5SKxpYgRo8oG8ah.mp4" }], "tweetUserId": "1993005544400207878", "user": { "userId": "1993005544400207878", "username": "InduTripat82427", "userFullName": "Indu Tripathi", "description": "AI & Tech Influencer …", "location": "MP", "website": "https://ai-for-gods.beehiiv.com/", "joinDate": "2025-11-24T17:15:40.000Z", "verified": true, "totalLikes": 1939, "totalTweets": 3339, "totalFollowing": 45, "totalFollowers": 16858, "totalMediaCount": 639, "url": "https://x.com/InduTripat82427" } } ``` **Per-section output:** the dataset has a `searchQuery` column so you can split by query, and the key-value store holds a grouped `OUTPUT` (`{ "query": [ …tweets ] }`) plus one `tweets_` snapshot per search. When `repliesDepth > 0`, each tweet additionally carries a nested `replies` array of the same shape. *** ### πŸ›°οΈ Proxy configuration The scraper uses a **smart fallback ladder**: 1. 🌐 **No proxy (direct)** β€” fastest, tried first. 2. 🏒 **Datacenter proxy** β€” used automatically if X blocks the direct connection. 3. 🏠 **Residential proxy** β€” final fallback, retried up to 3 times; once reached it stays for the rest of the run. Every escalation is logged. For large runs, pick **RESIDENTIAL** in the proxy field to start there immediately. *** ### πŸš€ How to Use (Apify Console) 1. Log in at [console.apify.com](https://console.apify.com) β†’ **Actors**. 2. Open **Twitter (X) Search Scraper**. 3. Enter your **search queries** and tweak filters / proxy. 4. Click **Start**. 5. Watch the live log fill up with collected tweets. 6. Open the **Output** tab and export to **JSON / CSV / Excel**. ### πŸ€– Use via API ```bash curl -X POST "https://api.apify.com/v2/acts//run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"searchQueries":["web scraping"],"tweetsDesired":50}' ``` *** ### πŸ’³ Pricing This actor uses the **pay-per-event** model with a single primary event: - **`row_result`** β€” billed once per tweet returned in your dataset. You only pay for the data you receive. Platform start-up time is covered by the synthetic `apify-actor-start` event. *** ### ❓ FAQ **Do I need a Twitter/X API key?** No. The scraper works against X's public web search. **Why do some runs switch to a residential proxy?** X aggressively rate-limits datacenter IPs. The actor detects this and escalates automatically so your run keeps going. **Can I scrape replies?** Yes β€” set `repliesDepth` to 1 or higher (up to 20). Note this is much slower. **Can I use my own account?** Yes β€” paste your `auth_token` and `ct0` cookies in the Authentication section. *** ### βš–οΈ Legal & responsible use - Only **publicly available** data is collected. - You are responsible for complying with X's Terms of Service and applicable laws (GDPR, CCPA, etc.). - Do not use scraped data for spam or harassment. ### πŸ›Ÿ Support Found a bug or need a new field? Open an issue on the actor's **Issues** tab β€” real answers, fast. # Actor input Schema ## `searchQueries` (type: `array`): One or more search terms (bulk supported). Each line is searched separately. Plain text or X advanced-search syntax both work, e.g. ai agents or from:openai filter:videos. ## `tweetsDesired` (type: `integer`): Maximum number of tweets to collect for each search query. ## `repliesDepth` (type: `integer`): How many levels of replies to scrape. 0 = no replies, 1 = tweet + its direct replies, 2 = replies of replies, etc. Higher values are much slower. ## `includeUserInfo` (type: `boolean`): Attach the full author profile (followers, bio, location, join date, …) to every tweet. Slightly slower but far richer data. ## `authToken` (type: `string`): Paste your X auth\_token cookie (from a logged-in browser session) so the scraper uses your session. ## `csrfToken` (type: `string`): Paste your X ct0 (CSRF) cookie that matches the auth\_token above. ## `since` (type: `string`): Oldest date to include, format YYYY-MM-DD. Relative values like 1 month or 2 days also work. ## `until` (type: `string`): Newest date to include, format YYYY-MM-DD. Relative values like 1 month also work. ## `minReplies` (type: `integer`): Only keep tweets with at least this many replies. ## `minRetweets` (type: `integer`): Only keep tweets with at least this many retweets. ## `minLikes` (type: `integer`): Only keep tweets with at least this many likes. ## `fromTheseAccounts` (type: `array`): Only tweets authored by these usernames (with or without @). ## `toTheseAccounts` (type: `array`): Only tweets that are replies to these usernames. ## `mentioningTheseAccounts` (type: `array`): Only tweets that mention these usernames. ## `nativeRetweets` (type: `boolean`): Include only native retweets (retweets without comment). ## `media` (type: `boolean`): Include only tweets that contain media (images, videos, gifs). ## `images` (type: `boolean`): Include only tweets that contain images. ## `videos` (type: `boolean`): Include only tweets that contain videos. ## `news` (type: `boolean`): Include only tweets that contain news links. ## `verified` (type: `boolean`): Include only tweets from verified accounts. ## `nativeVideo` (type: `boolean`): Include only tweets that contain native video. ## `replies` (type: `boolean`): Include only tweets that are replies. ## `links` (type: `boolean`): Include only tweets that contain links. ## `safe` (type: `boolean`): Include only tweets marked as potentially sensitive. ## `quote` (type: `boolean`): Include only tweets that quote other tweets. ## `proVideo` (type: `boolean`): Include only tweets that contain pro video. ## `excludeNativeRetweets` (type: `boolean`): Exclude native retweets from the results. ## `excludeMedia` (type: `boolean`): Exclude tweets that contain media. ## `excludeImages` (type: `boolean`): Exclude tweets that contain images. ## `excludeVideos` (type: `boolean`): Exclude tweets that contain videos. ## `excludeNews` (type: `boolean`): Exclude tweets that contain news links. ## `excludeVerified` (type: `boolean`): Exclude tweets from verified accounts. ## `excludeNativeVideo` (type: `boolean`): Exclude tweets that contain native video. ## `excludeReplies` (type: `boolean`): Exclude tweets that are replies. ## `excludeLinks` (type: `boolean`): Exclude tweets that contain links. ## `excludeSafe` (type: `boolean`): Exclude tweets marked as potentially sensitive. ## `excludeQuote` (type: `boolean`): Exclude tweets that quote other tweets. ## `excludeProVideo` (type: `boolean`): Exclude tweets that contain pro video. ## `language` (type: `string`): Restrict results to a single language. ## `near` (type: `string`): Search near a location (e.g. a city name). ## `textLengthLessThan` (type: `integer`): Keep only tweets whose text is shorter than this many characters. ## `proxyConfiguration` (type: `object`): By default the scraper runs with no proxy and automatically falls back to a datacenter, then a residential proxy if X blocks the connection. Pick RESIDENTIAL here to start (and stay) on residential immediately β€” recommended for large runs. ## Actor input object example ```json { "searchQueries": [ "web scraping" ], "tweetsDesired": 10, "repliesDepth": 0, "includeUserInfo": true, "minReplies": 0, "minRetweets": 0, "minLikes": 0, "fromTheseAccounts": [], "toTheseAccounts": [], "mentioningTheseAccounts": [], "nativeRetweets": false, "media": false, "images": false, "videos": false, "news": false, "verified": false, "nativeVideo": false, "replies": false, "links": false, "safe": false, "quote": false, "proVideo": false, "excludeNativeRetweets": false, "excludeMedia": false, "excludeImages": false, "excludeVideos": false, "excludeNews": false, "excludeVerified": false, "excludeNativeVideo": false, "excludeReplies": false, "excludeLinks": false, "excludeSafe": false, "excludeQuote": false, "excludeProVideo": false, "language": "any", "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searchQueries": [ "web scraping" ], "tweetsDesired": 10, "since": "", "until": "", "language": "any", "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scraper-engine/twitter-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchQueries": ["web scraping"], "tweetsDesired": 10, "since": "", "until": "", "language": "any", "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scraper-engine/twitter-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "web scraping" ], "tweetsDesired": 10, "since": "", "until": "", "language": "any", "proxyConfiguration": { "useApifyProxy": false } }' | apify call scraper-engine/twitter-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper-engine/twitter-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🐦 Twitter (X) Search Scraper", "description": "🐦 Twitter (X) Search Scraper by twitter-search-scraper pulls real-time results from X search queriesβ€”tweets, authors, timestamps & engagement. πŸ”Ž Fast, efficient scraping for brand monitoring, competitor insights, sentiment & lead research. πŸš€", "version": "0.1", "x-build-id": "GkBfADk8eN3MrErM0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper-engine~twitter-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper-engine-twitter-search-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/scraper-engine~twitter-search-scraper/runs": { "post": { "operationId": "runs-sync-scraper-engine-twitter-search-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/scraper-engine~twitter-search-scraper/run-sync": { "post": { "operationId": "run-sync-scraper-engine-twitter-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "authToken", "csrfToken" ], "properties": { "searchQueries": { "title": "πŸ”Ž Search queries", "type": "array", "description": "One or more search terms (bulk supported). Each line is searched separately. Plain text or X advanced-search syntax both work, e.g. ai agents or from:openai filter:videos.", "items": { "type": "string" } }, "tweetsDesired": { "title": "πŸ”’ Max tweets per query", "minimum": 1, "type": "integer", "description": "Maximum number of tweets to collect for each search query.", "default": 10 }, "repliesDepth": { "title": "πŸ’¬ Replies depth", "minimum": 0, "maximum": 20, "type": "integer", "description": "How many levels of replies to scrape. 0 = no replies, 1 = tweet + its direct replies, 2 = replies of replies, etc. Higher values are much slower.", "default": 0 }, "includeUserInfo": { "title": "πŸ‘€ Include author profile in every tweet", "type": "boolean", "description": "Attach the full author profile (followers, bio, location, join date, …) to every tweet. Slightly slower but far richer data.", "default": true }, "authToken": { "title": "πŸ”‘ X auth_token cookie (required)", "type": "string", "description": "Paste your X auth_token cookie (from a logged-in browser session) so the scraper uses your session." }, "csrfToken": { "title": "πŸ”‘ X ct0 cookie (required)", "type": "string", "description": "Paste your X ct0 (CSRF) cookie that matches the auth_token above." }, "since": { "title": "πŸ“… Tweets newer than (since)", "pattern": "^$|^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "Oldest date to include, format YYYY-MM-DD. Relative values like 1 month or 2 days also work." }, "until": { "title": "πŸ“… Tweets older than (until)", "pattern": "^$|^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "Newest date to include, format YYYY-MM-DD. Relative values like 1 month also work." }, "minReplies": { "title": "↩️ Minimum replies", "minimum": 0, "type": "integer", "description": "Only keep tweets with at least this many replies.", "default": 0 }, "minRetweets": { "title": "πŸ” Minimum retweets", "minimum": 0, "type": "integer", "description": "Only keep tweets with at least this many retweets.", "default": 0 }, "minLikes": { "title": "❀️ Minimum likes", "minimum": 0, "type": "integer", "description": "Only keep tweets with at least this many likes.", "default": 0 }, "fromTheseAccounts": { "title": "πŸ“€ From these accounts", "type": "array", "description": "Only tweets authored by these usernames (with or without @).", "default": [], "items": { "type": "string" } }, "toTheseAccounts": { "title": "πŸ“₯ To these accounts", "type": "array", "description": "Only tweets that are replies to these usernames.", "default": [], "items": { "type": "string" } }, "mentioningTheseAccounts": { "title": "πŸ“£ Mentioning these accounts", "type": "array", "description": "Only tweets that mention these usernames.", "default": [], "items": { "type": "string" } }, "nativeRetweets": { "title": "πŸ” Only native retweets", "type": "boolean", "description": "Include only native retweets (retweets without comment).", "default": false }, "media": { "title": "πŸ–ΌοΈ Only tweets with media", "type": "boolean", "description": "Include only tweets that contain media (images, videos, gifs).", "default": false }, "images": { "title": "πŸŒ… Only tweets with images", "type": "boolean", "description": "Include only tweets that contain images.", "default": false }, "videos": { "title": "🎬 Only tweets with videos", "type": "boolean", "description": "Include only tweets that contain videos.", "default": false }, "news": { "title": "πŸ“° Only tweets with news", "type": "boolean", "description": "Include only tweets that contain news links.", "default": false }, "verified": { "title": "βœ”οΈ Only from verified users", "type": "boolean", "description": "Include only tweets from verified accounts.", "default": false }, "nativeVideo": { "title": "πŸ“Ή Only tweets with native video", "type": "boolean", "description": "Include only tweets that contain native video.", "default": false }, "replies": { "title": "↩️ Only replies", "type": "boolean", "description": "Include only tweets that are replies.", "default": false }, "links": { "title": "πŸ”— Only tweets with links", "type": "boolean", "description": "Include only tweets that contain links.", "default": false }, "safe": { "title": "⚠️ Only sensitive-marked tweets", "type": "boolean", "description": "Include only tweets marked as potentially sensitive.", "default": false }, "quote": { "title": "πŸ’¬ Only quote tweets", "type": "boolean", "description": "Include only tweets that quote other tweets.", "default": false }, "proVideo": { "title": "πŸŽ₯ Only tweets with pro video", "type": "boolean", "description": "Include only tweets that contain pro video.", "default": false }, "excludeNativeRetweets": { "title": "πŸš«πŸ” Exclude native retweets", "type": "boolean", "description": "Exclude native retweets from the results.", "default": false }, "excludeMedia": { "title": "πŸš«πŸ–ΌοΈ Exclude tweets with media", "type": "boolean", "description": "Exclude tweets that contain media.", "default": false }, "excludeImages": { "title": "πŸš«πŸŒ… Exclude tweets with images", "type": "boolean", "description": "Exclude tweets that contain images.", "default": false }, "excludeVideos": { "title": "🚫🎬 Exclude tweets with videos", "type": "boolean", "description": "Exclude tweets that contain videos.", "default": false }, "excludeNews": { "title": "πŸš«πŸ“° Exclude tweets with news", "type": "boolean", "description": "Exclude tweets that contain news links.", "default": false }, "excludeVerified": { "title": "πŸš«βœ”οΈ Exclude verified users", "type": "boolean", "description": "Exclude tweets from verified accounts.", "default": false }, "excludeNativeVideo": { "title": "πŸš«πŸ“Ή Exclude native video", "type": "boolean", "description": "Exclude tweets that contain native video.", "default": false }, "excludeReplies": { "title": "πŸš«β†©οΈ Exclude replies", "type": "boolean", "description": "Exclude tweets that are replies.", "default": false }, "excludeLinks": { "title": "πŸš«πŸ”— Exclude tweets with links", "type": "boolean", "description": "Exclude tweets that contain links.", "default": false }, "excludeSafe": { "title": "🚫⚠️ Exclude sensitive-marked tweets", "type": "boolean", "description": "Exclude tweets marked as potentially sensitive.", "default": false }, "excludeQuote": { "title": "πŸš«πŸ’¬ Exclude quote tweets", "type": "boolean", "description": "Exclude tweets that quote other tweets.", "default": false }, "excludeProVideo": { "title": "🚫πŸŽ₯ Exclude pro video", "type": "boolean", "description": "Exclude tweets that contain pro video.", "default": false }, "language": { "title": "🌍 Tweet language", "enum": [ "any", "ar", "bn", "bg", "ca", "hr", "cs", "da", "nl", "en", "fi", "fr", "de", "el", "gu", "he", "hi", "hu", "id", "it", "ja", "kn", "ko", "mr", "no", "fa", "pl", "pt", "ro", "ru", "sr", "zh-cn", "sk", "sl", "es", "sv", "ta", "th", "zh-tw", "tr", "uk", "ur", "vi" ], "type": "string", "description": "Restrict results to a single language.", "default": "any" }, "near": { "title": "πŸ“ Near location", "type": "string", "description": "Search near a location (e.g. a city name)." }, "textLengthLessThan": { "title": "βœ‚οΈ Text length less than", "minimum": 1, "type": "integer", "description": "Keep only tweets whose text is shorter than this many characters." }, "proxyConfiguration": { "title": "πŸ›°οΈ Proxy configuration", "type": "object", "description": "By default the scraper runs with no proxy and automatically falls back to a datacenter, then a residential proxy if X blocks the connection. Pick RESIDENTIAL here to start (and stay) on residential immediately β€” recommended for large runs.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```