Sourcelane

TikTok Search Scraper

TikTok

Operated by Sourcelane✓ verified

Search TikTok by any keyword and scrape matching videos with views, likes, author stats, hashtags, and music — no login required.

Read full description

A keyword-driven TikTok search scraper that performs user-like keyword queries and extracts ranked, structured video-level data from TikTok search results. The connector returns one record per video in TikTok's search order and captures search ranking context together with video metadata (identifiers, direct URLs, text descriptions, hashtags, duration, cover image, post date, region), engagement metrics (plays/views, likes, comments, shares, saves/collections, downloads/reposts), author metadata (handle, display name, verification status, follower counts, biography), and music metadata (track identifiers, title, artist). Results reflect live TikTok search at the time of the run and are optimized for keyword analysis and competitive monitoring.

Verified Sep 28, 3:55 AM

$0.002

per result

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

What people use it for

You give it

  • Search keywordsrequired

    One or more TikTok search queries — anything you would type into the TikTok search bar (e.g.

Optional settings

Max videos (total)

You get back

Text & content
DescriptionHashtagsMusic title
People & accounts
Author IDAuthor usernameAuthor nicknameAuthor sec uidAuthor verifiedAuthor signatureMusic author
Numbers & stats
DurationAuthor follower countLike countComment countShare countPlay countCollect countDownload count+1 more
Location
Region
Dates
Created at
Links & media
Video IDVideo URLCover URL
Other details
KeywordPositionCreated at timestampMusic ID

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

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":"tiktok-search-scraper","params":{"keywords":["coffee recipes"],"maxItems":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
keywordsarrayrequiredOne or more TikTok search queries — anything you would type into the TikTok search bar (e.g. 'coffee recipes', 'iphone 17 review'). Each keyword returns its top-ranked videos (up to 30 per keyword).
maxItemsintegeroptionalMaximum total number of videos across all keywords. Set 0 for no limit (up to 30 top-ranked videos per keyword). Capped at 100 per call.

Each result contains

FieldTypeDescription
keywordstringKeyword
positionintegerPosition
videoIdstringVideo Id
videoUrlstringVideo Url
descriptionstringDescription
hashtagsarrayHashtags
createdAtstringCreated At
createdAtTimestampintegerCreated At Timestamp
durationintegerDuration
coverUrlstringCover Url
regionstringRegion
authorIdstringAuthor Id
authorUsernamestring—
authorNicknamestring—
authorSecUidstring—
authorVerifiedboolean—
authorFollowerCountinteger—
authorSignaturestring—
likeCountinteger—
commentCountinteger—
shareCountinteger—
playCountinteger—
collectCountinteger—
downloadCountinteger—
repostCountinteger—
musicIdstring—
musicTitlestring—
musicAuthorstring—
fetchedAtstring—

Use TikTok Search Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What are the top 25 TikTok videos for 'protein coffee' this week, and what hooks do they use?”

Connect Claude

Web, desktop and mobile. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
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":"tiktok-search-scraper","params":{"keywords":["coffee recipes"],"maxItems":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": "tiktok-search-scraper",
        "params": {"keywords":["coffee recipes"],"maxItems":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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