{
  "markdown": "# Wikipedia page-view trends API\n\nWikipedia article attention via the Trends API. History, growth, and live trending pages as 0-100 scores.\n\n[![License: MIT](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/trendsapi-wikipedia.svg)](https://pypi.org/project/trendsapi-wikipedia/)\n[![Python](https://img.shields.io/badge/python-3.9%2B-yellow.svg)](https://trendsapi.ai)\n\nKey: [trendsapi.ai/#get-key](https://trendsapi.ai/#get-key). HTTP contract and every source: [trendsapi-ai/trendsapi](https://github.com/trendsapi-ai/trendsapi).\n\n## Authentication\n\n```bash\npip install trendsapi-wikipedia\nexport TRENDSAPI_KEY=your_key\n```\n\nPython 3.9+. Same key as the HTTP API.\n\n```python\nfrom trendsapi_wikipedia import TrendsAPI\n\nclient = TrendsAPI()                    # TRENDSAPI_KEY\n# client = TrendsAPI(api_key=\"YOUR_KEY\")\n```\n\nKeyword helpers default to `source: \"wikipedia\"`. Pass `source=` to hit any other platform with the same client. Official full client (every source, no preset): [`trendsapi`](https://pypi.org/project/trendsapi/).\n\n## Methods\n\n| Method | REST `mode` | Returns |\n|---|---|---|\n| `get_time_series(keyword, source=, data_mode=)` | `get_time_series` | `list[TrendsDataPoint]` |\n| `get_growth(keyword, percent_growth=, source=, data_mode=)` | `get_growth` | `GetGrowthResponse` |\n| `get_live(limit=, offset=, category=)` | `get_top_trends` | `GetTopTrendsResponse` |\n| `get_top_trends(type=, ...)` | `get_top_trends` | `GetTopTrendsResponse` |\n\n`source` is lowercase (`wikipedia`). `type` is exact (`Wikipedia Trending`). Mixing them is a 400.\n\n```python\nfrom trendsapi_wikipedia import TrendsAPI\n\nclient = TrendsAPI()                    # TRENDSAPI_KEY\n# client = TrendsAPI(api_key=\"YOUR_KEY\")\n\nseries = client.get_time_series(\"large language model\")\nprint(series[-1].date, series[-1].value)\n\ngrowth = client.get_growth(\"large language model\", percent_growth=[\"3M\", \"12M\"])\nprint(growth.results[0].growth, growth.results[0].direction)\n\nhot = client.get_live(limit=10)\nprint(hot.data)                         # [[1, \"...\"], ...]\n```\n\n## get_time_series\n\n```python\npoints = client.get_time_series(\"large language model\")\n```\n\nEach point:\n\n| Field | Always | Meaning |\n|---|---|---|\n| `date` | yes | `YYYY-MM-DD` |\n| `value` | yes | 0-100 index for this series |\n| `keyword` | yes | Echo |\n| `volume` | no | Absolute volume when available |\n| `source` or `datatype` | no | Pipeline label |\n\nPython returns `list[TrendsDataPoint]`. Use `.date` and `.value`, not `[\"date\"]`.\nJS returns the same fields as object properties.\n\n## get_growth\n\n```python\ng = client.get_growth(\"large language model\", percent_growth=[\"12M\", \"3M\", \"YTD\"])\nprint(g.results[0].growth, g.results[0].direction)\n```\n\n`percent_growth` default: `[\"12M\"]`. Presets: `7D` `14D` `30D` `1M` `2M` `3M` `6M` `9M` `12M`/`1Y` `18M` `24M`/`2Y` `36M`/`3Y` `48M` `60M`/`5Y` `MTD` `QTD` `YTD`. Custom: `{\"name\": \"Launch\", \"recent\": \"2024-06-01\", \"baseline\": \"2024-01-01\"}`.\n\n| Field | Meaning |\n|---|---|\n| `search_term` | Keyword |\n| `data_source` | Source |\n| `results` | One object per window (`period`, `growth`, `direction`, dates, values) |\n| `metadata` | Counts / success flag |\n\nSeveral windows still count as one request. Python: `growth.results[0].growth`. JS: `growth.results[0].growth`.\n\n\n## get_live\n\n```python\nhot = client.get_live(limit=10)\n```\n\n| Field | Meaning |\n|---|---|\n| `as_of_ts` | Snapshot time |\n| `type` | Feed name |\n| `limit`, `offset`, `count` | Pagination |\n| `data` | `[rank, label]` rows |\n\nPython: `hot.data`. JS: `hot.data`. Optional `offset=` and `category=` (`Amazon Best Sellers by Category`, `Top Websites` only).\n\n\n## Async\n\n```python\nimport asyncio\nfrom trendsapi_wikipedia import AsyncTrendsAPI\n\nasync def main():\n    c = AsyncTrendsAPI()\n    return await asyncio.gather(\n        c.get_time_series(\"large language model\"),\n        c.get_time_series(\"large language model\", source=\"google search\"),\n    )\n\nasyncio.run(main())\n```\n\nEach 200 is one billed request.\n\n## Pandas\n\n```python\nfrom dataclasses import asdict\nimport pandas as pd\nfrom trendsapi_wikipedia import TrendsAPI\n\ndf = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series(\"large language model\"))\ndf[\"date\"] = pd.to_datetime(df[\"date\"])\nprint(df.set_index(\"date\")[\"value\"].resample(\"ME\").mean().tail())\n```\n\n## Call (curl)\n\n| Field | Value |\n|---|---|\n| Endpoint | `POST https://api.trendsapi.ai/api` |\n| Auth | `Authorization: Bearer $TRENDSAPI_KEY` |\n| History | `source: wikipedia` with `get_time_series` or `get_growth` |\n| Keyword | Article title or topic, e.g. large language model |\n| Live `type` | Wikipedia Trending |\n\n```bash\ncurl -sS -X POST https://api.trendsapi.ai/api \\\n  -H \"Authorization: Bearer $TRENDSAPI_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"mode\":\"get_time_series\",\"source\":\"wikipedia\",\"keyword\":\"large language model\"}'\n```\n\n## Source notes\n\n- Titles are picky. `Java` vs `Java (programming language)` are different series.\n- Do not pass `source: wikipedia` on `get_top_trends`. Use `type: Wikipedia Trending`.\n\n## Errors\n\n| HTTP | Client |\n|---|---|\n| 200 | Parsed payload. Python dataclasses / JS typed objects |\n| 400 | Raises. Fix `source` or `type` spelling |\n| 401 | Raises. Check `TRENDSAPI_KEY` |\n| 404 | Raises. No series for that keyword. Do not retry |\n| 429 | Raises. Quota |\n| 5xx | Client retries, then raises |\n\nThe HTTP `body` field is a JSON string. SDKs decode it. Raw curl must parse `body` a second time.\n\nSite: [https://trendsapi.ai/trends/wikipedia-trends](https://trendsapi.ai/trends/wikipedia-trends).\n\n## License\n\nMIT. See [LICENSE](LICENSE).\n",
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