End-to-end automation to find, format, and deliver targeted business leads.
This AI agent scrapes business listings with Apify based on the chosen industry and location. It cleans, deduplicates, and standardizes the data. It writes structured results to Google Sheets, making them ready for outreach and collaboration.
Automates the end-to-end lead generation workflow.
Configure Apify scraper parameters (location, industry, and data fields) to target the right leads.
Run the Apify web scraping job and monitor progress until completion.
Clean and normalize raw data, removing duplicates and standardizing formats.
Validate essential fields (name, address, phone, and emails) for completeness.
Store results in Google Sheets with a consistent column layout.
Notify the team when new leads are ready for follow-up.
Before: five real pain points hindering fast prospecting. After: five clear outcomes you can expect from an automated lead-gen AI agent.
A simple 3-step flow that non-technical users can follow.
Set location, industry, and data fields in the scraper configuration to target the desired leads.
Launch the scraping job, then clean, deduplicate, and normalize the data for consistency.
Write results to Google Sheets and notify your team when the run completes.
A realistic run you can reproduce in minutes.
Scenario: A mid-sized agency wants 100 plumber leads in Toronto in one day. Configure the AI agent to target plumbers in Toronto, limit results to 100, and run at 9 AM. The agent triggers Apify, collects name, address, phone, and emails, cleans duplicates, and stores the results in a Google Sheet with standardized columns. By 9:02 AM, the sheet is ready for outreach, and the team is notified automatically.
One supporting sentence.
Need fresh, accurate prospect lists to shorten outreach cycles.
Require competitive and local market data for campaigns.
Must identify new potential accounts efficiently.
Need structured data for trend analysis and reporting.
Want scalable lead generation without bespoke scrapes.
Require clean data ready for ingestion and workflows.
Tools orchestrated by the AI agent to automate the workflow.
Orchestrates the web scraping job, configures target criteria, and triggers runs.
Stores and formats the scraped leads in a shared sheet with consistent columns.
Sources business listings based on location and industry inputs without manual browsing.
Common, practical scenarios for reliable outcomes.
Common questions about setup, data, and workflow.
The agent can extract business name, address, city/state, phone, and emails. You can configure additional fields to match your downstream needs. Data is cleaned and normalized before storage to ensure consistency. If you need extra fields, you can extend the scraper configuration to include them in future runs. All fields are stored in a structured format in Google Sheets for easy consumption.
Yes. You configure industry keywords and location queries in the Apify scraper. The AI agent uses these inputs to run targeted scraping jobs and loops through multiple locations if required. You can save presets for common markets and switch between them with a single trigger. This keeps your lists aligned with campaign targets and regional focus.
No coding is required. The AI agent provides a guided configuration to set location, industry, and data fields. It handles triggering the scraping job, processing results, and writing to Sheets. If you ever need advanced customization, you can adjust scraper settings or connect via API, but day-to-day usage remains simple. You’ll operate through a user-friendly interface and presets.
The agent supports scheduled runs and manual triggers. You can set daily, weekly, or custom intervals to refresh lists. Each run deduplicates and normalizes data before updating Sheets, so you always have current leads. You can also keep historical runs for auditing and trend analysis.
Leads stored in Google Sheets can be exported or pushed to your CRM via API or integrations. The AI agent can be extended to emit a clean data payload compatible with common CRM formats. You can automate a daily push at a defined time or trigger it after each run. This reduces manual data transfer and speeds up follow-up actions.
Data collection follows the data source terms and applicable local regulations. You should configure the scraping scope to avoid restricted or sensitive information. The workflow stores data in your own Google Sheets, under your control and access policies. If needed, you can add redaction rules or restrict fields that should not be stored.
Apify and Sheets have usage limits based on your account plan. The AI agent can throttle runs to respect API quotas and avoid overloading sources. You can distribute large lead lists across multiple runs and pages. If you anticipate peak activity, set a schedule that aligns with your plan limits and review quotas regularly.
End-to-end automation to find, format, and deliver targeted business leads.
