YouTube Keyword Research Tool

YouTube

Operated by Sourcelane✓ verified

A YouTube keyword research connector that expands one or more seed keywords into large sets of real YouTube search queries using YouTube's autocomplete service and multiple expansion methods (direct suggestions, alphabetic expansion, question/modifier expansion). For each suggested query the connector optionally measures competition by scraping the current top results and computing demand and competition metrics: estimated number of competing videos, aggregated top-10 view statistics (average, median, min, max), count of recent top results (freshness), count of distinct channels in top positions, proportion of Shorts in the top results, and metadata for the top video and the top-results list. These signals are combined into a single 0–100 opportunity score that balances demand, competition and freshness. The connector supports market targeting by country and language and can run as suggestions-only or include full competition measurement.

Verified Sep 28, 12:10 AM

$0.005

per keyword

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Video topic research: find high-demand, low-competition angles before filming
Title and tag optimization: extract exact phrases people type into YouTube search
Content calendars: generate months of video ideas from a few seed topics
Niche validation: assess search interest and identify who already ranks for a topic
Question mining: surface question-style queries for FAQ, tutorial and explainer videos
Agency reporting: produce keyword sheets and competitive snapshot across countries and languages

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-keyword-research","params":{"seedKeywords":["sourdough bread"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`seedKeywords`	array	required	Topics to research, one per line. Each seed is expanded through YouTube's own search suggestions.
`expansion`	string	optional	How to expand each seed. Alphabet soup queries the seed followed by every letter a-z; Questions adds how/what/why prefixes and best/vs/tutorial suffixes; Both combines them for the widest list.
`maxKeywordsPerSeed`	integer	optional	Keywords to keep for each seed, in the order YouTube suggests them. 0 = everything found, up to 2,000 per seed.
`includeCompetition`	boolean	optional	Run a YouTube search for every keyword to capture the estimated result count, top-10 view statistics, freshness, unique channels and an opportunity score. Turn off for a suggestions-only run that is much faster.
`country`	string	optional	Two-letter country code that controls which suggestions and rankings YouTube returns, e.g. US, GB, AU, DE.
`language`	string	optional	Language code for suggestions and search, e.g. en, de, pt-BR.

Each result contains

Field	Type	Description
`keyword`	string	Keyword
`seedKeyword`	string	Seed Keyword
`source`	string	Source
`suggestionRank`	integer	Suggestion Rank
`wordCount`	integer	Word Count
`isQuestion`	boolean	Is Question
`estimatedResults`	integer	Estimated Results
`top10AvgViews`	integer	Top10 Avg Views
`top10MedianViews`	integer	Top10 Median Views
`top10MinViews`	integer	Top10 Min Views
`top10MaxViews`	integer	Top10 Max Views
`top10VideosUnderOneYear`	integer	Top10 Videos Under One Year
`top10UniqueChannels`	integer	—
`top10ShortVideos`	integer	—
`topVideoTitle`	string	—
`topVideoChannel`	string	—
`topVideoViews`	integer	—
`topVideoUrl`	string	—
`topVideos`	array	—
`opportunityScore`	integer	—

Use YouTube Keyword Research Tool from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Get the transcript of this video and turn it into a blog outline: <url>”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cool-puffin-608.convex.site/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-keyword-research","params":{"seedKeywords":["sourdough bread"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "youtube-keyword-research",
        "params": {"seedKeywords":["sourdough bread"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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