Operated by Sourcelane✓ verified
Search YouTube via the Data API v3 and return enriched video metadata — title, channel, stats, duration, and thumbnail — for every result.
Converts lists of YouTube search queries into structured video metadata using the official YouTube Data API v3. For each (query, video) pair it returns one row containing title, channel attribution, publish date, description, best-available thumbnail URL, view/like/comment statistics parsed as integers, duration provided both as raw ISO 8601 and as seconds, and the canonical video URL. Supports sorting by relevance, date, rating, view count, or title, optional publish-date filtering, and emits a single error row if an individual query fails so the run continues. Outputs are current live API results and are formatted for keyword-level pivoting, trend analysis, and channel-level comparisons.
Verified Sep 28, 3:55 AM
$0.01
per search query
Up to 100 per call. Only pay for results returned; failed calls are refunded.
Channel competitive analysis
Pull top-ranking videos for keyword sets to compare channel performance and dominance
Content discovery
Surface newest, high-engagement videos in a niche for content ideation
Trend tracking
Build time-series results of view-count growth across topics
Influencer research
Identify creators ranking for target keywords and rank by subscribers/engagement metrics
Video SEO results
Assemble training data of titles, descriptions, durations, and view/count metrics for ranking models
Ad targeting
Compile lists of high-traffic videos by topic for placement campaigns
List of YouTube search queries.
Optional ISO 8601 datetime - only return videos published after this moment.
Optional settings
| Window | Uptime | Success rate | p50 | p95 | Calls |
|---|---|---|---|---|---|
| 24h | — | — | — | — | 0 |
| 7d | — | — | — | — | 0 |
| 30d | — | — | — | — | 0 |
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://api.usesourcelane.com/v1/call \
-H "Authorization: Bearer sl_live_your_agent_key" \
-H "Content-Type: application/json" \
-d '{"listing":"google-youtube-data","params":{"searchQueries":["stripe scraping","web scraping tutorial"],"maxResultsPerQuery":5},"maxResults":10}'Request params
| Field | Type | Required | Description |
|---|---|---|---|
searchQueries | array | required | List of YouTube search queries. The connector runs one /search call per query and enriches every returned video with full statistics. |
maxResultsPerQuery | integer | optional | Number of videos to return per query (1-50). Capped at 100 per call. |
order | string | optional | Sort order applied to YouTube search results. |
publishedAfter | string | optional | Optional ISO 8601 datetime - only return videos published after this moment. |
Each result contains
| Field | Type | Description |
|---|---|---|
query | string | Query |
videoId | string | Video Id |
status | string | Status |
title | string | Title |
channelId | string | Channel Id |
channelTitle | string | Channel Title |
publishedAt | string | Published At |
description | string | Description |
thumbnailUrl | string | Thumbnail Url |
viewCount | integer | View Count |
likeCount | integer | Like Count |
commentCount | integer | Comment Count |
durationIso | string | — |
durationSeconds | integer | — |
url | string | — |
error | null | — |
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. One click, then confirm.
Adds the Sourcelane MCP server with your key as a header.
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
--header "Authorization: Bearer sl_live_your_agent_key"Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.
{
"mcpServers": {
"sourcelane": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.usesourcelane.com/mcp",
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer sl_live_your_agent_key"
}
}
}
}Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).
{
"mcpServers": {
"sourcelane": {
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer sl_live_your_agent_key"
}
}
}
}Save as .vscode/mcp.json. VS Code prompts for your key once.
{
"servers": {
"sourcelane": {
"type": "http",
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer ${input:sourcelane-key}"
}
}
},
"inputs": [
{
"type": "promptString",
"id": "sourcelane-key",
"description": "Sourcelane agent key",
"password": true
}
]
}Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.
https://usesourcelane.com/openapi.jsonOne POST. Pass maxResults to cap cost.
curl -X POST https://api.usesourcelane.com/v1/call \
-H "Authorization: Bearer sl_live_your_agent_key" \
-H "Content-Type: application/json" \
-d '{"listing":"google-youtube-data","params":{"searchQueries":["stripe scraping","web scraping tutorial"],"maxResultsPerQuery":5},"maxResults":10}'Wrap the REST call as a tool, or point an MCP client at the endpoint.
import requests
res = requests.post(
"https://api.usesourcelane.com/v1/call",
headers={"Authorization": "Bearer sl_live_your_agent_key"},
json={
"listing": "google-youtube-data",
"params": {"searchQueries":["stripe scraping","web scraping tutorial"],"maxResultsPerQuery":5},
"maxResults": 10,
},
timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])—
0 reviews
Leave a review
Loading reviews…