Sourcelane

Google Maps Popular Times Scraper

Google Maps

Operated by Sourcelane✓ verified

Extracts Google Maps "popular times" busyness data for businesses: captures full weekly hourly histograms of busyness percentages and textual busyness labels, provides a live current-busyness reading when a place is open, and computes the single busiest hour/day with its busyness value. Also collects place metadata and identifiers such as name, address, rating, review count, place URL, and open/closed status. Core functionality centers on scraping and structuring Google Maps popular-times and place context into time-series busyness data and peak-time metrics for per-place analysis.

Verified Sep 28, 12:10 AM

$0.0018

per place

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://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-maps-popular-times-scraper","params":{"searchQueries":["Starbucks Times Square New York"],"maxPlacesPerQuery":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
searchQueriesarrayoptionalBusinesses to search on Google Maps, one query per line — e.g. "Starbucks Times Square New York", "gyms in Austin TX".
placeUrlsarrayoptionalAlternatively (or additionally) fetch popular times for specific places — Google Maps place URLs, maps.app.goo.gl short links, ?cid= links, Place IDs (ChIJ…) or hex IDs (0x…:0x…).
maxPlacesPerQueryintegeroptionalMaximum number of places to process per search query (Google Maps returns at most ~120 per query). 0 = everything Google returns. Capped at 100 per call.
languagestringoptionalLanguage code for results, e.g. en, de, fr, es, pt-BR.
countrystringoptionalTwo-letter country code that biases search results, e.g. us, gb, de, au.
latitudenumberoptionalOptional latitude to bias search results toward a specific area.
longitudenumberoptionalOptional longitude to bias search results toward a specific area.
zoomintegeroptionalOptional map zoom level (3-21) used together with latitude/longitude to bias search results. Higher = tighter radius.

Each result contains

FieldTypeDescription
placeIdstringPlace Id
googlePlaceIdstringGoogle Place Id
placeNamestringPlace Name
placeAddressstringPlace Address
ratingnumberRating
reviewCountintegerReview Count
placeUrlstringPlace Url
isOpenNowbooleanIs Open Now
currentBusynessPctnullCurrent Busyness Pct
currentBusynessLabelnullCurrent Busyness Label
weeklyPopularTimesarray—
peakDaystringPeak Day
peakHourintegerPeak Hour
peakBusynessPctinteger—
searchQuerystring—
scrapedAtstring—

Use Google Maps Popular Times Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “List 40 dentists in Austin TX with phone, website and rating above 4.5.”

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://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":"google-maps-popular-times-scraper","params":{"searchQueries":["Starbucks Times Square New York"],"maxPlacesPerQuery":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://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "google-maps-popular-times-scraper",
        "params": {"searchQueries":["Starbucks Times Square New York"],"maxPlacesPerQuery":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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