YouTube Search Scraper

YouTube

Operated by Sourcelane✓ verified

A YouTube search scraper that performs keyword-based searches of YouTube search results without using the YouTube API, login, or cookies, returning structured per-video metadata for large-scale discovery and analysis. It queries YouTube search and extracts video identifiers and URLs, titles and descriptions, exact publish timestamps and human-readable publish text, duration in seconds and video quality (HD/SD/4K/HDR), presence of captions and live status, resolution/badge indicators, engagement metrics (views, likes, comments), channel metadata (channel identifier, title, handle, URL, verification status), thumbnail URLs, creator-provided tags and hashtags parsed from title/description, category and language, and which search query surfaced the video plus its rank. The scraper supports filtering by upload date ranges, duration ranges, and video features (HD, 4K, HDR, subtitles, Creative Commons, live, 360°, 3D), sorting by relevance/date/views/rating, regional ranking by country, deduplication across multiple queries, and scalable retrieval of thousands of matching videos per search run.

Verified Sep 28, 3:56 AM

$0.003

per video

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

What people use it for

Keyword and topic research to see which videos rank for a search term and measure engagement
Competitor analysis to identify top-performing videos and channels in a niche
Influencer discovery to surface channels publishing on a topic and rank them by reach
Content ideation by mining titles, tags and hashtags from top-ranking videos
Trend monitoring by running periodic searches filtered to recent uploads
results building to collect large labeled sets of videos for analysis or model training

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://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-search-scraper","params":{"searchQueries":["best vpn australia"],"maxItemsPerQuery":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`searchQueries`	array	required	Keywords or phrases to search YouTube for, one per line. Each query is searched separately and results are de-duplicated across the run.
`maxItemsPerQuery`	integer	optional	Maximum videos to return for each query. 0 = everything YouTube returns, up to 5,000 per query. Capped at 100 per call.
`sortBy`	string	optional	Order in which YouTube returns results.
`uploadedWithin`	string	optional	Only return videos uploaded inside this window.
`duration`	string	optional	Filter by video length.
`features`	array	optional	Optional YouTube feature filters. Selecting several requires all of them.
`country`	string	optional	Two-letter country code that controls regional ranking and availability, e.g. US, GB, AU, DE.
`language`	string	optional	Language code for YouTube's interface, e.g. en, de, pt-BR. Affects relative date text and ranking.

Each result contains

Field	Type	Description
`videoId`	string	Video Id
`url`	string	Url
`title`	string	Title
`description`	string	Description
`publishedAt`	string	Published At
`publishedText`	string	Published Text
`durationSeconds`	integer	Duration Seconds
`viewCount`	integer	View Count
`likeCount`	integer	Like Count
`commentCount`	integer	Comment Count
`channelId`	string	Channel Id
`channelTitle`	string	Channel Title
`channelHandle`	string	—
`channelUrl`	string	—
`channelIsVerified`	boolean	—
`thumbnailUrl`	string	—
`tags`	array	—
`hashtags`	array	—
`categoryId`	string	—
`language`	string	—
`definition`	string	—
`hasCaptions`	boolean	—
`isLive`	boolean	—
`badges`	array	—
`sourceQuery`	string	—
`position`	integer	—

Use YouTube Search Scraper 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://api.usesourcelane.com/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://api.usesourcelane.com/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://api.usesourcelane.com/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://api.usesourcelane.com/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://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"youtube-search-scraper","params":{"searchQueries":["best vpn australia"],"maxItemsPerQuery":5},"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://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "youtube-search-scraper",
        "params": {"searchQueries":["best vpn australia"],"maxItemsPerQuery":5},
        "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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