Finding potential customers on Google Maps is straightforward. Building an organized list of those businesses is where the work begins.
For sales teams, marketing agencies, and business owners, manually collecting business names, phone numbers, websites, and addresses can quickly become time-consuming, especially when researching businesses across multiple locations.
Spidra's Google Maps Leads template helps automate the collection process. Instead of opening individual business profiles and copying details into spreadsheets, users can search by business category and location and retrieve structured data in a few steps.
In this guide, we'll demonstrate how to use Spidra's Google Maps Leads template to find businesses, review extracted data in table and JSON views, export the results, and set up recurring searches. The screenshots show an actual example searching for workspaces in San Francisco.
What is Google Maps lead generation?
Google Maps lead generation is the process of discovering potential business customers through publicly available information in Google Maps listings. Businesses commonly display names, addresses, phone numbers, websites, categories, ratings, and customer reviews.
For example, a company supplying office furniture might want to identify coworking spaces in San Francisco. Google Maps can help locate those businesses, but manually collecting information from each listing requires repetitive work. Spidra turns the discovery step into a structured extraction workflow.
What is Spidra's Google Maps Leads template?
The Google Maps Leads template is a ready-made Spidra workflow that collects business information from Google Maps searches. Users specify a business type, one or more geographic areas, the number of search pages, and whether to look for additional website contact details.
Depending on what a listing contains, extracted data may include the business name, category, phone number, website, address, rating, review count, and Google Maps link. Users can inspect the output in an interactive table or JSON view, then export it as CSV or JSON.
How to extract Google Maps leads using Spidra
Let's walk through a real dashboard example: finding workspace and coworking businesses in San Francisco.
Step 1: Open the Google Maps Leads template
Sign in to your Spidra dashboard. In the left navigation, select Templates. The library contains ready-made workflows for lead generation, e-commerce, jobs, social media, research, and other tasks.
In the Popular section, locate Google Maps leads. Alternatively, use the search bar to find it. Select the template to open its configuration page.
Step 2: Configure your business search
The template page contains a form for choosing the type of businesses and where to find them. In the accompanying example, the settings are:
- Business type. Enter the category of businesses you want to discover. The example uses
Workspace, which returns coworking-space listings. Other possibilities include restaurants, dental clinics, real estate agencies, or fitness centers. - Areas. Enter a location such as
San Francisco. The form accepts multiple areas, one per line; the screenshot shows a limit of 25 areas. This makes it possible to configure searches covering several cities or neighborhoods. - Pages per area. Choose how many Google Maps search-result pages to process per area. The dashboard states that each page adds up to 20 places and costs one credit. The actual number of unique listings can be lower.
- Find emails and social links. This optional switch lets Spidra visit a listed business website and its contact page to look for public email addresses, additional phone numbers, and social links. The interface mentions Facebook, Instagram, LinkedIn, X, TikTok, and YouTube. Additional website pages can use extra credits. For this walkthrough, leave enrichment off.
Step 3: Run the search
When the inputs are ready, click Run. Spidra processes the configured search and shows the result when the extraction is finished.
The completed dashboard example displays 20 rows and 1 credit used. These are the figures visible in this particular run, not a promise that every search will produce 20 unique businesses.
Step 4: Review the extracted leads in Table view
In the results panel, select Table to review the extracted businesses as rows and columns. The visible records include Anchor Coworking San Francisco, AvantSpace San Francisco, Spaces Mission & 3rd, and other workspace-related listings.
The table includes fields such as Name, Category, Phone, and Website. Use the Columns control to choose which available fields to display. This makes it easier to check the data before downloading or importing it elsewhere.
Step 5: Inspect the same results in JSON view
Select JSON in the results panel to inspect structured data objects. JSON exposes fields beyond the immediately visible table columns, including identifiers and Google Maps links when returned.
For example, the screenshot shows keys including position, title, dataId, placeId, cid, googleMapsUrl, category, and address.
A shortened illustration of the first visible record looks like this:
[
{
"position": 1,
"title": "Anchor Coworking San Francisco",
"category": "Coworking space",
"address": "1540 Market St #100, San Francisco, CA 94102"
}
]This is an abbreviated illustration of the visible record, not a full raw response. The actual JSON may include more fields or omit fields that are unavailable for a particular listing.
Step 6: Export your Google Maps leads
After reviewing the results, use the export buttons in the results panel:
- CSV: Download a spreadsheet-compatible file for Microsoft Excel, Google Sheets, or a lead-qualification worksheet.
- JSON: Download machine-readable records for an application, script, analytics workflow, or internal research tool.
Choose the format that matches how you'll work with the data. CSV is convenient for manual review; JSON is more practical for developers building repeatable pipelines.
What can you do with the extracted business information?
- Build focused prospect lists. Search for specific industries within a defined location instead of collecting every business in a city. A software company offering appointment tools, for example, could research clinics or salons in selected areas.
- Research a local market. Compare the types of businesses appearing in different neighborhoods and review their public websites and categories. Listings provide a starting point, not a complete census of an industry.
- Support sales qualification. Sort businesses by relevance to your product, then verify contact details and identify needs before initiating outreach. A business appearing in Maps is not evidence that it is ready to buy.
- Feed internal data workflows. Developers can normalize the returned JSON, deduplicate records, flag missing fields, or compare fresh results with earlier exports.
Save searches and monitor changes
For repeated prospecting, you don't need to rebuild the same search every time.
Save as preset stores a reusable search configuration. For instance, a sales team could save its workspace research and run it again when it needs updated results.
Watch for changes connects the workflow to recurring monitoring so the user can detect newly returned rows. Monitoring detects changes in the dataset, but it does not guarantee that every business opening or closing in a geographic area will be captured.
Both options are visible at the top of the template page in the screenshots.
Use the Google Maps Leads template through an API
Developers can also execute the template programmatically using Spidra's Templates API. The request below reproduces the key search inputs from the visual example:
curl -X POST \
https://api.spidra.io/api/templates/google-maps-leads/runs \
-H "Authorization: Bearer $SPIDRA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"inputs": {
"query": "Workspace",
"areas": ["San Francisco"],
"pages": 1,
"findContacts": false
},
"wait": true
}'
Set SPIDRA_API_KEY securely before making the request. Depending on execution time, the API may return a completed run or a run identifier for later retrieval. For the current request and response format, consult the Spidra Templates API documentation.
How much does extracting Google Maps leads cost?
Spidra's visible template interface states that each search page costs 1 credit and can return up to 20 places. For a basic calculation, searching one page across three areas is three base search credits; searching two pages across three areas is six base search credits.
Optional website contact discovery uses additional page-processing credits. The screenshot specifies one credit per webpage loaded, up to two pages per website, and notes that failed pages are free. Check the estimate shown by the dashboard before running a larger job.
A sensible approach is to run a small search first, inspect the relevance of the results, and only then increase the page count, locations, or contact enrichment scope.
Limits and responsible use
Not every Google Maps listing contains a phone number, website, email address, or complete business profile. Search results can vary across locations and may include duplicates or businesses outside your intended audience. Optional website enrichment does not guarantee an email address.
You should also review Google's applicable terms and relevant privacy and marketing rules before collecting, storing, reselling, or using business contact information for outreach. Public visibility of a listing does not automatically mean every downstream use is permitted.
Finally, treat extracted businesses as research leads, not qualified buyers. Validate business fit and contact information before taking action.