Automate extracting emails and roles from company domains, handle CAPTCHA prompts, and store results in Google Sheets with Slack notifications.
The AI agent reads a list of company URLs from Google Sheets, uses BrowserAct to extract team pages and contact data (Name, Email, Position), and validates the results. If a CAPTCHA is detected, the agent sends a Telegram alert and pauses until you solve it, then resumes automatically. Finally, it saves the verified data back to a per-company tab in Google Sheets and notifies your team in Slack.
Performs end-to-end data collection and enrichment.
Read the list of company URLs from Google Sheets.
Trigger BrowserAct to locate team pages and extract Name, Email, and Position.
Parse and validate data, flagging discrepancies.
Handle CAPTCHAs by pausing and sending a Telegram alert for manual resolution.
Append enriched data to a new tab in the relevant Google Sheet.
Notify Slack when a company finishes processing.
Before: manual, slow data collection from multiple domains; CAPTCHA interruptions requiring manual resolution; misattributed or incomplete data; separate enrichment steps causing delays; and no automatic completion alerts. After: complete, verified emails and positions are stored per company in Google Sheets; CAPTCHAs are handled via Telegram prompts with quick resume; data is organized in per-company tabs; Slack notifications provide processing visibility; and the AI agent can be extended with enrichment integrations.
A simple 3-step flow anyone can follow.
Read the list of company URLs from Google Sheets and prepare the domain queue.
Trigger BrowserAct to extract team pages or contact data, then parse results (Name, Email, Position).
Append found data to the company’s Google Sheet; if a CAPTCHA is detected, send a Telegram alert and pause until resolved; if scraping fails, log the error and continue.
A realistic, time-bound scenario.
A sales team uploads a list of 50 company domains to Google Sheets. The AI agent reads all URLs, uses BrowserAct to fetch team pages, and extracts Name, Email, and Position where available. CAPTCHAs trigger Telegram prompts; after solving, scraping resumes and data is appended to per-company tabs. Slack receives a notification once each company is processed, providing a concise summary of results.
Roles that gain practical value from automated enrichment.
Needs accurate, company-aligned contact data for targeted outreach.
Requires scalable enrichment to fulfill client campaigns quickly.
Wants fast access to company-aligned contact data for outreach.
Needs standardized data flow and improved data quality in sheets/CRM.
Supports account-based campaigns with verified contacts.
Maintains clean, up-to-date data and de-duplication in systems.
Connects your data sources and messaging tools.
Reads input URLs and writes enriched results back to a per-company tab.
Scrapes team pages and contact data from company domains.
Sends CAPTCHA alerts and enables quick manual resolution to resume.
Notifies channels when a company finishes processing.
Practical scenarios for reliable data enrichment.
Common questions about the AI agent and its workflow.
When a CAPTCHA is detected, the AI agent pauses and sends a Telegram alert prompting you to resolve it in BrowserAct. After you confirm completion, the agent resumes automatically and continues scraping. This minimizes downtime while keeping data integrity intact. You can adjust alert frequency and resume behavior in the setup.
The primary data source is a Google Sheet containing company URLs. BrowserAct handles the actual web scraping to extract names, emails, and positions. The agent can be extended to pull domains from other CRMs or databases, such as Airtable or HubSpot, via future enrichment steps.
Data capture follows best practices for B2B contact enrichment and is intended for legitimate business outreach. You should ensure opt-in compliance for your outreach location and maintain lawful processing records. The AI agent does not bypass anti-scraping protections or use harvesting methods outside approved templates.
The sheet should include a column named Company url and a dedicated tab per company for enriched data. The AI agent writes Name, Email, and Position to the per-company tab and maintains a per-row association with the source URL. You can add additional columns for verification status or notes, if needed.
Yes. The setup supports enrichment steps like cross-referencing with Clearbit or Hunter.io and can be extended to verify domains, company names, or job titles. You can add these steps after scraping and before saving to Sheets. This makes the data more actionable for outbound campaigns.
You can replace the Google Sheets input with other sources like Airtable or CRM nodes from your automation platform. The agent’s data destinations can be redirected to other sheets, databases, or CRMs. Each change should be tested with a small batch before full-scale use.
If a URL fails to scrape, the AI agent logs the error and continues with the next URL to avoid stalling the entire run. You can review the error log in the Google Sheet or a dedicated error tab. Optional retries can be configured for transient failures.
Automate extracting emails and roles from company domains, handle CAPTCHA prompts, and store results in Google Sheets with Slack notifications.
