Google Maps New Lead Monitor

Monitor any local niche and receive only Google Maps businesses your saved Task has not returned before - not an unsupported claim that every listing is a newly opened business.

This Actor turns a repeat Google Maps search into a stateful lead feed. The first run creates a baseline. Later runs from the same saved Task return only unseen Place IDs, with public contact data, website-presence classification, and explicit signal evidence.

✅ What you get / ❌ What this isn't

✅ You get:

• Task-scoped deduplication by stable Google Maps CID
• initial_snapshot on the first run and new_to_monitor on later runs
• Name, category, address, phone, website, rating, Maps URL, and source query
• Optional filters for no website, social-only presence, or any business
• Optional import of an older dataset or a list of Place IDs to exclude

❌ This is not:

• A claim that every result recently opened
• A cached national directory
• Email enrichment or automated outreach
• A private-data scraper

🔎 Why use this Google Maps lead monitor

Ordinary Maps scrapers sell the same rows again on every run. This Actor remembers what each saved Task has already delivered, so a weekly workflow can focus on the delta. The signalEvidence field states exactly why a row appeared.

The monitor works for web agencies, POS and payment vendors, signage companies, accountants, insurers, telecom installers, commercial cleaners, and other businesses that sell to local companies.

📊 What data you get

Field	Type	Description
placeId	string	Stable Maps CID used for deduplication
signalType	string	initial_snapshot, new_to_monitor, or current_result
signalEvidence	string	Plain-language reason the row was emitted
name, category	string	Business identity
address, phone	string	Public contact details
websiteUrl	string	Website listed on Google Maps
presence	string	none, social_only, has_website, or broken_website
rating, reviewsCount	number	Rating data when exposed by the source
observedAt, firstSeenAt	ISO date	Monitoring timestamps
googleMapsUrl	URL	Source listing
searchQuery	string	Query that found the business

👥 Who it's for

• Web and SEO agencies monitoring businesses with weak web presence
• POS, payments, telecom, security, signage, and local-service vendors
• Sales operations teams that need a repeatable local-prospect feed
• Developers calling an Apify dataset through REST, Make, Zapier, or webhooks

⚙️ How to monitor new Google Maps leads

1. Enter one category and location per search, such as roofers in Austin, TX.
2. Keep Only return businesses not seen before enabled.
3. Save the Actor as a Task.
4. Run once to establish the baseline.
5. Schedule the same Task weekly or daily.
6. Export the dataset or connect it to Google Sheets, a CRM, Make, Zapier, or a webhook.

The saved Task is important: every Task keeps separate history, so a roofing monitor never contaminates an electrician monitor.

📥 Input

{
  "searchQueries": [
    "roofers in Austin, TX",
    "roofers in San Antonio, TX"
  ],
  "onlyNew": true,
  "presenceFilter": "weak_presence",
  "monitorDepthPerQuery": 100,
  "maxNewRowsPerQuery": 50,
  "countryCode": "us",
  "language": "en"
}

• onlyNew defaults to true. The first run is clearly labeled as a baseline.
• presenceFilter can be any, weak_presence, or no_website_only.
• baselineDatasetId is optional and only needed when importing an older lead list.
• excludePlaceIds is optional and accepts IDs or Maps URLs.
• monitorDepthPerQuery controls how many top Maps positions are remembered and compared each run.
• maxNewRowsPerQuery caps output without weakening the baseline. Set it to 0 for unlimited output.

📤 Output

{
  "placeId": "1234567890123456789",
  "name": "Example Roofing Co.",
  "category": "Roofing contractor",
  "phone": "(512) 555-0100",
  "presence": "none",
  "signalType": "new_to_monitor",
  "signalEvidence": "This Place ID was not returned by this saved Task in any earlier successful run.",
  "observedAt": "2026-07-23T12:00:00.000Z",
  "googleMapsUrl": "https://maps.google.com/?cid=1234567890123456789",
  "searchQuery": "roofers in Austin, TX",
  "source": "Google Maps web search"
}

The New leads dataset view puts the signal, business, phone, website presence, address, observation time, score, and Maps URL first.

💵 How much does it cost?

Pricing has two value-aligned events:

• Area scan: $0.002 for each search query successfully scanned on the Free and Bronze tiers
• New lead row: $0.005 per dataset row on Free and Bronze, $0.004 on Silver, and $0.003 on Gold and higher plans

Example: scanning two city queries and receiving 40 rows costs about $0.204 on Free or Bronze. A repeat run with no new rows costs only $0.004 for the two area scans, because Maps and proxy work still happened.

🔁 Run it on the Apify platform

Schedule a saved Task, call it through the Apify API, connect the dataset to Google Sheets with Make or Zapier, or send run-finished webhooks into your CRM.

⚠️ Limits and caveats

• new_to_monitor means new to this saved Task's history. It does not prove the business itself just opened.
• The first run establishes a baseline and is labeled initial_snapshot.
• Google Maps coverage and fields vary by country, category, query, and source response.
• Review count and opening status may be unavailable in the current structured endpoint.
• Deleting the Task or its named history store resets automatic history.
• Use public business data responsibly and follow applicable outreach, privacy, and platform rules.

🧩 Related Actors

• Google Maps No-Website Leads Scraper
• Google Maps Low Rating Leads
• Website Contact Extractor

Example tasks

• Weekly new roofers by city
• Weekly new electricians by city
• New restaurant leads for POS vendors

❓ FAQ

Does this find newly opened businesses?

It finds businesses newly observed by a specific saved Task. It deliberately does not label a row recently_opened unless the source exposes auditable evidence, which the current structured Maps endpoint does not reliably provide.

Is onlyNew hard to configure?

No. It is enabled by default. Save the Actor as a Task and run it repeatedly. The baseline dataset and exclusion list are advanced options, not required setup.

Can I run a normal one-time Google Maps export?

Yes. Turn onlyNew off and the Actor labels rows current_result.

Can this send data to Google Sheets?

Yes. Connect the resulting dataset through an Apify integration, Make, Zapier, or a webhook. The Actor keeps scraping and monitoring separate from credentials for your destination.

🛠️ Support

When reporting an issue, include the run URL, non-secret input, expected behavior, and one affected search query.