{"id":"168b0d77-1d48-4ca3-a2a7-e4153bd1ca22","shortId":"LLDs5r","kind":"skill","title":"twitter-data-export","tagline":"Export Twitter/X data to CSV for analysis using Xpoz. Search by keywords, author, date range, and download complete datasets (up to 500K rows). Use when asked to \"export tweets\", \"download Twitter data\", \"get tweets as CSV\", \"Twitter dataset\", or \"bulk tweet download\".","description":"# Twitter Data Export\n\n## Overview\n\nSearch and export Twitter/X data to CSV files for analysis. Supports keyword search, author-based search, date filtering, and bulk exports up to 500K rows — no Twitter API keys required.\n\n## When to Use\n\nActivate when the user asks:\n- \"Export tweets about [TOPIC] to CSV\"\n- \"Download all tweets from @[USER]\"\n- \"Get Twitter data for [KEYWORD] from last month\"\n- \"I need a dataset of tweets about [TOPIC]\"\n- \"Bulk download tweets matching [QUERY]\"\n- \"Twitter data export\"\n\n## Setup & Authentication\n\nBefore fetching data, ensure Xpoz access is configured. Follow these checks in order.\n\n### Check 1: Already authenticated?\n\n**If you have MCP tools**, try calling any Xpoz tool (e.g., `checkAccessKeyStatus`). If it works → skip to Step 1.\n\n**If you have the SDK**, try:\n```python\nfrom xpoz import XpozClient\nclient = XpozClient()  # reads XPOZ_API_KEY env var\n```\nIf this succeeds without error → skip to Step 1.\n\nIf neither works, you need to authenticate. Choose the path that fits your environment:\n\n---\n\n### Path A: MCP via mcporter (OpenClaw agents)\n\nIf `mcporter` is available:\n\n```bash\nmcporter call xpoz.checkAccessKeyStatus\n```\n\nIf `hasAccessKey: true` → ready. If not:\n\n```bash\nmcporter config add xpoz https://mcp.xpoz.ai/mcp --auth oauth\n```\n\nThen authenticate — generate the OAuth URL and send it to the user:\n\n**Step 1: Generate authorization URL**\n```python\nimport secrets, hashlib, base64, urllib.parse, json, urllib.request, os\n\nverifier = secrets.token_urlsafe(64)\nchallenge = base64.urlsafe_b64encode(hashlib.sha256(verifier.encode()).digest()).rstrip(b'=').decode()\nstate = secrets.token_urlsafe(32)\n\n# Dynamic client registration\nreg_req = urllib.request.Request(\n    'https://mcp.xpoz.ai/oauth/register',\n    data=json.dumps({\n        'client_name': 'Agent Skills',\n        'redirect_uris': ['https://www.xpoz.ai/oauth/openclaw'],\n        'grant_types': ['authorization_code'],\n        'response_types': ['code'],\n        'token_endpoint_auth_method': 'none',\n    }).encode(),\n    headers={'Content-Type': 'application/json'},\n)\nreg_resp = json.loads(urllib.request.urlopen(reg_req).read())\n\nparams = urllib.parse.urlencode({\n    'response_type': 'code',\n    'client_id': reg_resp['client_id'],\n    'code_challenge': challenge,\n    'code_challenge_method': 'S256',\n    'redirect_uri': 'https://www.xpoz.ai/oauth/openclaw',\n    'state': state,\n    'scope': 'mcp:tools',\n    'resource': 'https://mcp.xpoz.ai/',\n})\n\nauth_url = 'https://mcp.xpoz.ai/oauth/authorize?' + params\n\n# Save state for token exchange\nos.makedirs(os.path.expanduser('~/.cache/xpoz-oauth'), exist_ok=True)\nwith open(os.path.expanduser('~/.cache/xpoz-oauth/state.json'), 'w') as f:\n    json.dump({'verifier': verifier, 'state': state, 'client_id': reg_resp['client_id'],\n               'redirect_uri': 'https://www.xpoz.ai/oauth/openclaw'}, f)\n\nprint(auth_url)\n```\n\n**Step 2: Send the URL to the user**\n\nTell them:\n> \"I need to connect to Xpoz for social media data. Please open this link and sign in:\n>\n> [auth_url]\n>\n> After authorizing, you'll see a code. Paste it back to me here.\"\n\n**Step 3: WAIT for the user to reply with the code.** Do not proceed until they respond.\n\n**Step 4: Exchange the code for a token**\n\nOnce the user provides the code (either a raw code or a URL containing `?code=...`), extract the code and exchange it:\n\n```python\nimport json, urllib.request, urllib.parse, subprocess, os\n\nwith open(os.path.expanduser('~/.cache/xpoz-oauth/state.json')) as f:\n    oauth = json.load(f)\n\ncode = \"THE_CODE_FROM_USER\"  # Extract from user's reply\n\ndata = urllib.parse.urlencode({\n    'grant_type': 'authorization_code',\n    'code': code,\n    'redirect_uri': oauth['redirect_uri'],\n    'client_id': oauth['client_id'],\n    'code_verifier': oauth['verifier'],\n}).encode()\n\nreq = urllib.request.Request(\n    'https://mcp.xpoz.ai/oauth/token',\n    data=data,\n    headers={'Content-Type': 'application/x-www-form-urlencoded'},\n)\nresp = json.loads(urllib.request.urlopen(req).read())\ntoken = resp['access_token']\n\n# Configure mcporter with the token (token is never printed)\nsubprocess.run(['mcporter', 'config', 'remove', 'xpoz'], capture_output=True)\nsubprocess.run(['mcporter', 'config', 'add', 'xpoz', 'https://mcp.xpoz.ai/mcp',\n                '--header', f'Authorization=Bearer {token}'], check=True)\n\n# Clean up\nos.remove(os.path.expanduser('~/.cache/xpoz-oauth/state.json'))\nprint(\"Xpoz configured successfully\")\n```\n\n**Step 5: Verify** with `mcporter call xpoz.checkAccessKeyStatus` → should return `hasAccessKey: true`.\n\n---\n\n### Path B: MCP via Claude Code config\n\nFor Claude Code users without mcporter, add to `~/.claude.json`:\n```json\n{\n  \"mcpServers\": {\n    \"xpoz\": {\n      \"url\": \"https://mcp.xpoz.ai/mcp\",\n      \"transport\": \"http-stream\"\n    }\n  }\n}\n```\nClaude Code handles OAuth automatically on first tool call — the user just needs to authorize in their browser when prompted.\n\n---\n\n### Path C: SDK (Python or TypeScript)\n\nAsk the user:\n> \"I need a Xpoz API key to access social media data. Please go to https://xpoz.ai/get-token (it's free, no credit card needed) and paste the key back to me.\"\n\n**WAIT for the user to reply with the key.** Then:\n\n**Python:**\n```bash\npip install xpoz\n```\n```python\nfrom xpoz import XpozClient\nclient = XpozClient(\"THE_KEY_FROM_USER\")\n```\n\n**TypeScript:**\n```bash\nnpm install @xpoz/xpoz\n```\n```typescript\nimport { XpozClient } from \"@xpoz/xpoz\";\nconst client = new XpozClient({ apiKey: \"THE_KEY_FROM_USER\" });\nawait client.connect();\n```\n\nOr set the environment variable and use the default constructor:\n```bash\nexport XPOZ_API_KEY=THE_KEY_FROM_USER\n```\n\n---\n\n### Auth Errors\n| Problem | Solution |\n|---------|----------|\n| MCP: \"Unauthorized\" | Re-run the OAuth flow above |\n| SDK: `AuthenticationError` | Verify key at [xpoz.ai/settings](https://xpoz.ai/settings) |\n| Token exchange fails | Ask user to re-authorize — codes are single-use |\n\n\n## Step-by-Step Instructions\n\n### Step 1: Parse the Request\n\nExtract:\n- **Query**: keywords, hashtags, or phrases to search\n- **Author** (optional): specific Twitter username\n- **Date range** (default: last 30 days)\n- **Fields** the user cares about (default: full export)\n\nBuild the query using boolean operators:\n- Exact phrase: `\"machine learning\"`\n- OR: `\"AI\" OR \"artificial intelligence\"`\n- AND: `\"Tesla\" AND \"earnings\"`\n- NOT: `\"crypto\" NOT \"scam\"`\n- Combined: `(\"deep learning\" OR \"neural network\") AND python`\n\n### Step 2: Search and Export\n\n#### Via MCP\n\n**Search by keywords:**\n```\nCall getTwitterPostsByKeywords:\n  query: \"<query>\"\n  fields: [\"id\", \"text\", \"authorUsername\", \"authorId\", \"createdAtDate\", \"likeCount\", \"retweetCount\", \"quoteCount\", \"impressionCount\", \"language\"]\n  startDate: \"<YYYY-MM-DD>\"\n  endDate: \"<YYYY-MM-DD>\"\n  language: \"en\" (optional)\n```\n\n**Search by author:**\n```\nCall getTwitterPostsByAuthor:\n  identifier: \"<username>\"\n  identifierType: \"username\"\n  fields: [\"id\", \"text\", \"createdAtDate\", \"likeCount\", \"retweetCount\", \"quoteCount\", \"impressionCount\"]\n  startDate: \"<YYYY-MM-DD>\"\n  endDate: \"<YYYY-MM-DD>\"\n```\n\n**CRITICAL: Async Pattern** — calls return an `operationId`. Call `checkOperationStatus` with that ID and poll until \"completed\" (up to 8 retries, ~5 seconds apart).\n\n**CSV Export (two options):**\n1. Pass `responseType=\"csv\"` in the original call to get a CSV download directly\n2. Or use the `dataDumpExportOperationId` from the response — call `checkOperationStatus` with it to get an S3 download URL for the complete dataset\n\n#### Via Python SDK\n\n```python\nfrom xpoz import XpozClient\n\nclient = XpozClient()  # Uses XPOZ_API_KEY env var\n\n# Search by keywords\nresults = client.twitter.search_posts(\n    '\"artificial intelligence\" AND ethics',\n    start_date=\"2026-01-01\",\n    end_date=\"2026-02-23\",\n    language=\"en\",\n    fields=[\"id\", \"text\", \"author_username\", \"created_at_date\", \"like_count\", \"retweet_count\", \"impression_count\"]\n)\n\nprint(f\"Found {results.pagination.total_rows:,} tweets\")\n\n# Export entire result set to CSV (up to 500K rows)\ncsv_url = results.export_csv()\nprint(f\"Download CSV: {csv_url}\")\n\n# Or search by author\nauthor_results = client.twitter.get_posts_by_author(\n    \"elonmusk\",\n    start_date=\"2026-01-01\",\n    fields=[\"id\", \"text\", \"created_at_date\", \"like_count\", \"retweet_count\"]\n)\nauthor_csv = author_results.export_csv()\n\nclient.close()\n```\n\n**Download and analyze locally:**\n```python\nimport pandas as pd\nimport subprocess\n\n# Download the CSV\nsubprocess.run([\"curl\", \"-L\", \"-o\", \"tweets.csv\", csv_url])\n\n# Load and analyze\ndf = pd.read_csv(\"tweets.csv\")\nprint(f\"Total tweets: {len(df)}\")\nprint(f\"Date range: {df['created_at_date'].min()} to {df['created_at_date'].max()}\")\nprint(f\"Average likes: {df['like_count'].mean():.1f}\")\nprint(f\"Top authors:\\n{df['author_username'].value_counts().head(10)}\")\n```\n\n#### Via TypeScript SDK\n\n```typescript\nimport { XpozClient } from \"@xpoz/xpoz\";\n\nconst client = new XpozClient();\nawait client.connect();\n\nconst results = await client.twitter.searchPosts('\"artificial intelligence\" AND ethics', {\n  startDate: \"2026-01-01\",\n  endDate: \"2026-02-23\",\n  language: \"en\",\n  fields: [\"id\", \"text\", \"authorUsername\", \"createdAtDate\", \"likeCount\", \"retweetCount\"],\n});\n\nconsole.log(`Found ${results.pagination.totalRows.toLocaleString()} tweets`);\n\n// Export to CSV\nconst csvUrl = await results.exportCsv();\nconsole.log(`Download: ${csvUrl}`);\n\nawait client.close();\n```\n\n### Step 3: Present Results\n\nAfter export, provide the user with:\n\n1. **Summary stats**: total rows, date range, top authors, avg engagement\n2. **CSV download link** (from `export_csv()` / `exportCsv()`)\n3. **Sample data**: show first 5-10 rows as a table\n4. **Suggested analysis**: what they might want to do with the data\n\n```\n## Export Complete: [QUERY]\n\n**Rows exported:** 12,456\n**Period:** Jan 1 – Feb 23, 2026\n**Download:** [CSV link]\n\n### Sample Data\n| Date | Author | Text (truncated) | Likes | RTs |\n|------|--------|-------------------|-------|-----|\n| ... | ... | ... | ... | ... |\n\n### Quick Stats\n- Avg likes per tweet: 45.2\n- Most active author: @user (234 tweets)\n- Peak day: Feb 14, 2026 (1,203 tweets)\n\n### Suggested Next Steps\n- Load into pandas/Excel for deeper analysis\n- Filter by engagement (like_count > 100) for high-impact posts\n- Group by date for trend analysis\n```\n\n## Available Fields\n\n| Field | Description |\n|-------|-------------|\n| `id` | Tweet ID |\n| `text` | Full tweet text |\n| `authorUsername` | Author's username |\n| `authorId` | Author's numeric ID |\n| `createdAtDate` | Post date (YYYY-MM-DD) |\n| `likeCount` | Number of likes |\n| `retweetCount` | Number of retweets |\n| `quoteCount` | Number of quote tweets |\n| `impressionCount` | Number of impressions |\n| `replyCount` | Number of replies |\n| `language` | Detected language |\n| `isRetweet` | Whether it's a retweet |\n| `isReply` | Whether it's a reply |\n\n## Example Prompts\n\n- \"Export all tweets mentioning 'Claude Code' from the last 2 weeks to CSV\"\n- \"Download @OpenAI's tweets from January 2026\"\n- \"Get a dataset of tweets about 'MCP server' OR 'model context protocol'\"\n- \"Export tweets about the Super Bowl with more than 100 likes\"\n\n## Notes\n\n- Maximum export size: ~500K rows per CSV\n- Date range: up to 60-day rolling windows\n- Free tier: 100K results/month at [xpoz.ai](https://xpoz.ai?utm_source=github&utm_medium=agent-skills&utm_campaign=twitter-data-export)\n- Pro: $20/month for 1M results\n- No Twitter API keys needed — Xpoz handles all data 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