Monitors the form input, triggers Bright Data data gathering, checks progress until ready, fetches results, and logs them to Google Sheets.
This AI agent automates gathering Google Maps business data by querying Bright Data for location and keyword inputs. It retrieves details such as name, address, rating, and phone, then validates data before logging. The final step stores results in Google Sheets in a structured format for easy outreach.
Executes a full data-collection cycle and stores results.
Fetches data from Bright Data for the given location and keywords
Checks scraping progress and waits until status is ready
Retrieves the data snapshot and extracts fields: name, address, rating, phone, url
Validates records exist and filters out incomplete entries
Appends records to Google Sheets with the mapped columns
Logs run status and errors for auditing and troubleshooting
This AI agent replaces manual, error-prone scraping with a repeatable process. It continuously gathers data for specified locations and keywords, validates important fields, and logs results in a centralized sheet. You get auditable records with a clear trail of runs and outcomes.
A simple 3-step flow to get leads.
The user submits a location and keywords via the trigger form to start the scrape.
The agent sends a request to the Bright Data API to seed a data collection job with the provided inputs.
The agent monitors progress, retrieves the snapshot when ready, validates records, and appends to Google Sheets.
A realistic scenario showing inputs, time, and outcomes.
Scenario: A regional sales team submits 'San Francisco' and 'plumber' as keywords via the form. The system runs the Bright Data scrape, checks progress until completion, and appends 12 verified records to the GMB sheet with fields Name, Address, Rating, Phone, and URL.
Roles that gain from automated Google Maps lead scraping.
Need fresh, local business leads for outreach.
Build regional prospect lists for campaigns.
Identify and qualify potential local partners quickly.
Acquire dependable contact data for outreach campaigns.
Sourcing vendors with verified contact details.
Accelerate list-building for local campaigns.
Key tools used inside the AI agent workflow.
Fetches scraped data for the provided location and keywords and returns structured fields.
Appends collected records to a designated sheet and maps fields to columns.
Scenarios where this AI agent shines.
Practical answers to common questions about running this AI agent.
The agent collects business name, address, rating, phone number, and URL when available. It can also capture hours, reviews, and other metadata if provided by the data source. Data is sourced from the configured Bright Data datasets and snapshots. Results are written to a structured Google Sheet for easy access and reuse, with logs kept for auditing. You can adjust the fields captured by changing the data requests in the workflow configuration.
The agent operates within the data-access rules defined by Bright Data and follows accepted data-collection practices. It uses authorized API methods and respects rate limits and terms of service. Users should review local data regulations and platform terms to ensure compliant use. Regular audits of the data and usage logs help maintain compliance over time.
Yes. The data request payload and the Google Sheets field mappings can be adjusted to include or exclude specific fields. You can modify which fields are stored and how they appear in Sheets. After updating, validate a test run to confirm the output format matches your needs. Changes propagate through the data-fetch and save steps in the agent.
If no records are returned, the workflow logs the event and terminates the save step for that run. The agent proceeds to the next trigger or waits for new input. You can configure additional alerts or retries, but the default behavior avoids duplicating empty rows. This ensures the sheet remains clean and accurate.
The frequency depends on how you trigger the form and schedule checks. The agent is designed to perform on-demand runs, with built-in wait-and-retry when data is still being scraped. For periodic refresh, you can reuse the same workflow with updated location/keywords. Each run creates a new log entry for traceability.
No coding is required for day-to-day operation. The workflow is configured through a visual interface and simple payload adjustments. You can modify input parameters, sheet mappings, and integration connections without touching code. Advanced users can extend the payload for additional fields if needed.
You need a Bright Data API key, access to a Google Sheet, and a configured Google Sheets integration. Create a sheet tab named for the data category and ensure the columns match the mapped fields. Ensure the trigger form is ready to submit location and keywords. After setup, you can run test pulls to validate data flow from input to sheet output.
Monitors the form input, triggers Bright Data data gathering, checks progress until ready, fetches results, and logs them to Google Sheets.
