Sourcelane

Reddit Search Scraper

Reddit

Operated by Sourcelane✓ verified

Search Reddit for keywords or questions across all of Reddit or within a single subreddit, filtered by time window and sort order, and return one record per matching thread containing thread metadata (title, link, subreddit, author, post body, link target), engagement metrics (score, upvote ratio, comment count), post attributes (flair and flags such as self-post, video, NSFW/spoiler, locked, archived), a flattened comment tree with nested replies represented by parent/depth relationships, the count of comments fetched, and which search query matched. The connector performs keyword-based search with configurable time ranges and sorting, supports per-query result limits and minimum-engagement filters, paginates comment pages to control how deep comment trees are fetched, de-duplicates results across multiple queries, and runs without Reddit API credentials or login.

Verified Sep 28, 3:55 AM

$0.001

per thread

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

What people use it for

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":"reddit-search-scraper","params":{"searchQueries":["best vpn australia"],"maxPostsPerQuery":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
searchQueriesarrayrequiredKeywords or phrases to search Reddit for, one per line. Each query is searched separately and results are de-duplicated across the run.
subredditstringoptionalRestrict the search to one subreddit, e.g. 'australia' or 'r/australia'. Leave empty to search all of Reddit.
timeframestringoptionalOnly return threads created inside this window.
sortstringoptionalOrder in which Reddit returns matching threads.
maxPostsPerQueryintegeroptionalMaximum threads to return for each search query. 0 = keep paginating until Reddit runs out of results or the run times out. Capped at 100 per call.
includeCommentsbooleanoptionalFetch the comment tree for every thread and attach it to the record. Turn off for a cheaper posts-only search.
maxCommentPagesPerPostintegeroptionalEach page returns roughly 10 top-level comments with their nested replies. 1 = the top comments only; raise it for long threads.
minScoreintegeroptionalSkip threads whose upvote score is below this value.
minCommentsintegeroptionalSkip threads with fewer comments than this.

Each result contains

FieldTypeDescription
querystringQuery
postIdstringPost Id
titlestringTitle
urlstringUrl
linkUrlnullLink Url
subredditstringSubreddit
authorstringAuthor
selftextstringSelftext
scoreintegerScore
upvoteRationumberUpvote Ratio
numCommentsintegerNum Comments
createdAtstringCreated At
flairnull—
isSelfPostboolean—
isVideoboolean—
over18boolean—
spoilerboolean—
lockedboolean—
archivedboolean—
commentsFetchedinteger—
commentsarray—

Use Reddit Search Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What do r/espresso users say about the Breville Bambino? Summarise pros and cons.”

Connect Claude

Web, desktop and mobile. Paste one URL.

  1. 1Copy your personal connector URL
  2. 2In Claude open Settings → Connectors → Add custom connector
  3. 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":"reddit-search-scraper","params":{"searchQueries":["best vpn australia"],"maxPostsPerQuery":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": "reddit-search-scraper",
        "params": {"searchQueries":["best vpn australia"],"maxPostsPerQuery":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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