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@flashdata-dev/youtube-extended-search

v0.1.1

Published

Search larger YouTube video result sets, with up to 700 requested results. Map recurring channels and topics from structured video records. CLI and MCP via the paid FlashData API.

Readme

YouTube Extended Search CLI and MCP — FlashData

Collect a larger YouTube search sample and count observed videos by channel. Request up to 700 results when needed, while treating the actual result count as the observed sample size.

@flashdata-dev/youtube-extended-search exposes youtube_search_extended and the supporting reads for that task. It runs locally and calls the FlashData API. Node.js 22.18 or newer and a FlashData API key with this source enabled are required.

Inputs, outputs and source documentation · Get an API key · Current API pricing

The MIT software is free to install. FlashData API data calls are paid and consume Credits. Pricing and job reads are free. MCP client/model fees are separate.

Run with npx

Set FLASHDATA_API_KEY in your shell environment or secret manager. Keep the real value out of chat, committed files and command arguments. These first checks do not submit a data query:

npx --yes @flashdata-dev/[email protected] --help
npx --yes @flashdata-dev/[email protected] tools
npx --yes @flashdata-dev/[email protected] call get_pricing

Save the following as query.json. It uses flat tool arguments; no REST params wrapper is needed.

{
  "query": "battery recycling",
  "max_results": 100
}

This command performs one paid data request and writes its response to a file:

npx --yes @flashdata-dev/[email protected] call youtube_search_extended --input query.json > result.json

Use --input - to read JSON from stdin. For a local project installation, run npm install @flashdata-dev/[email protected] and use npx flashdata-youtube-extended-search with the same arguments.

Map channels in a larger result set

The CLI returns {"ok":true,"tool":"...","result":...}. Check ok and the API/job status before consuming data. Use Python 3.10 or newer; only the standard library is needed. Save this as process-result.py beside result.json and run python3 process-result.py (Windows: py -3 process-result.py). The script reads the saved CLI response; it makes no API call. Missing optional fields in JSON summaries are represented as null:

import json
from pathlib import Path

response = json.loads(Path("result.json").read_text(encoding="utf-8"))
if not response.get("ok"):
    raise SystemExit("The request failed; inspect the response before retrying.")
result = response["result"]
if "job" in result:
    status = result["job"]["status"]
    if status != "completed":
        raise SystemExit(f"Job status: {status}. Inspect this job; do not resubmit.")
    result = result["output"]
if result.get("status") not in (None, "done"):
    raise SystemExit("No completed data yet. Read the existing job before processing.")
if not result.get("results"):
    raise SystemExit("No result record was returned.")
data = result["results"][0]

channels = {}
for video in data.get("results") or []:
    key = next((video[field] for field in ("channelId", "channelUrl", "channel")
                if video.get(field) is not None), "Unknown")
    channels[key] = channels.get(key, 0) + 1
print(json.dumps(channels, ensure_ascii=False, indent=2))

Selected fields from a representative fixture, not a live response or a guarantee that every field/result will be present. This is the content inside the CLI's result property:

{
  "source": "youtube_search_extended",
  "status": "done",
  "results": [
    {
      "results": [
        {
          "videoId": "dQw4w9WgXcQ",
          "title": "battery recycling",
          "channel": "Example",
          "channelId": "channel-one",
          "channelUrl": "https://www.youtube.com/@Example",
          "viewCount": 100,
          "duration": 90
        },
        {
          "videoId": "aqz-KE-bpKQ",
          "title": "battery recycling",
          "channel": "Example",
          "channelId": "channel-one",
          "channelUrl": "https://www.youtube.com/@Example",
          "viewCount": 100,
          "duration": 90
        }
      ]
    }
  ],
  "created_at": "2026-10-12T00:00:00Z",
  "http_status": 200,
  "request_id": "fixture-request"
}

The request limit is 700, not a promise of 700 returned videos or pagination. Extended search has its own rate, higher than standard search.

Parameters

| Parameter | Type | Required | Default and constraints | | --- | --- | --- | --- | | query | string | Yes | | | max_results | integer | No | Default: 20. Range: 1–700. | | filters | object/null | No | Optional object; see the full JSON schema for upload_date, duration, sort and feature filters. Null is also accepted. | | mode | string | No | Default: "realtime". Allowed: realtime, async. |

The package includes schema.json with the complete nested schema and examples/query.json. The tools command also returns the current schemas permitted by your key. Fields supplied by the remote source may be missing; preserve original values and source links.

Jobs, errors and billing

For a longer-running query, set mode to "async". Save the returned result.id, create job.json with that job ID, and read it without submitting again:

{"job_id":"job_REPLACE_WITH_RETURNED_ID"}
npx --yes @flashdata-dev/[email protected] call get_job --input job.json > result.json

pending or processing means wait and read the same job later; completed provides the original JSON under result.output. The package never polls or retries paid submissions automatically. A timeout or lost response may still represent charged work: check Jobs before another submission. Each submitted query is charged at this source’s current rate; the number of returned records is not the request count.

CLI exit codes are 0 for a successful operation, 1 for an API/tool failure and 2 for invalid local input/configuration. Input is limited to 256 KiB and each API response to 4 MiB. CLI outputs complete JSON. Async JSON results have a 24-hour availability window.

Connect an MCP client

This same package starts a persistent stdio server with the mcp subcommand:

{
  "mcpServers": {
    "youtube-extended-search": {
      "command": "npx",
      "args": [
        "--yes",
        "@flashdata-dev/[email protected]",
        "mcp"
      ],
      "env": {
        "FLASHDATA_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Use npx.cmd on Windows if your client requires it. Enter your own key through protected client settings. The four tools are youtube_search_extended, get_pricing, get_job and get_result; the source is fixed, and job reads reject jobs belonging to other sources. API key permissions are rechecked on each operation.

MCP responses longer than 16,000 UTF-16 code units use result_id, chunk and next_offset. Read the remaining chunks with get_result in the same running server, concatenate them in order, then parse JSON. The process retains at most four results for ten minutes. The one-shot CLI has no get_result command because it returns the whole response.

Optional environment settings are FLASHDATA_REQUEST_TIMEOUT_MS (1000–120000, default 65000), FLASHDATA_DATA_API_URL and FLASHDATA_MANAGEMENT_API_URL. Custom URLs must be trusted HTTPS origins; loopback HTTP is accepted for local tests. The package does not load .env files automatically.

Support: [email protected] · Source and issue tracker · FlashData terms · Privacy. This is an independent FlashData integration, not an official Google or YouTube package.