Configure filters, monitor the ScraperCity job, and automatically log deduplicated Apollo leads into Google Sheets.
This AI agent automates the end-to-end workflow of sourcing Apollo.io leads and storing them in Google Sheets. It configures target filters, sends a ScraperCity scrape request, waits for completion, parses the CSV results, and cleans duplicates. The cleaned leads are appended to Google Sheets for immediate outreach and reporting.
Executes a hands-off, end-to-end lead sourcing and storage flow.
Configure search parameters (job titles, industry, company size, lead count).
Send a scrape request to ScraperCity using the Apollo filter endpoint.
Poll the ScraperCity job status every 60 seconds until completion.
Download the CSV results from ScraperCity.
Parse data and remove duplicates to ensure clean data.
Append deduplicated leads to Google Sheets for immediate use.
Before you employ this AI agent, you contend with manual exports, export limits, and inconsistent data quality. After, you have an automated flow that pulls verified Apollo leads, deduplicates them, and writes clean data to Google Sheets.
A simple three-step flow.
Define target job titles, industries, company size, and lead count, then start the scrape.
Submit the scrape request to ScraperCity and poll the job status every 60 seconds until completion.
Download the CSV, remove duplicates, normalize fields, and append to Google Sheets.
A realistic scenario showing end-to-end automation.
Scenario: A mid-market technology company wants 150 verified Apollo leads for 'Marketing Manager' roles in Technology with company size 50–200. Time: 60 minutes. Outcome: 150 deduplicated rows are appended to Google Sheets with standardized fields.
People who manage lead data and outreach workflows.
needs a reliable pool of targeted Apollo leads in Sheets for outbound campaigns.
requires deduplicated, standardized contact data to maintain pipeline hygiene.
tests new acquisition channels with quickly updated lists.
monitors data quality and pipeline health across systems.
uses clean leads for targeted campaigns and dashboards.
needs shareable lists for outreach with partners.
Connects Apollo lead sourcing with your data stack.
Fetches Apollo leads via API.
Appends results to a sheet via OAuth2.
Option to push leads directly to HubSpot CRM.
Option to push leads to Airtable.
Notify a channel when new leads arrive.
Common scenarios where this AI agent adds value.
Practical answers to common questions.
ScraperCity provides a scalable Apollo filter endpoint that returns verified contacts. The AI agent uses this endpoint to fetch leads at a per-contact cost of $0.0039. It handles the asynchronous nature of the scrape by polling until results are ready, then processes the CSV data for deduplication and standardization before writing to Google Sheets.
You set the lead count in Configure Search Parameters. The endpoint returns the number of verified contacts that match your filters, subject to ScraperCity's terms and any plan-based limits. The AI agent then processes the resulting CSV, deduplicates, and writes the clean data to Google Sheets. Costs are based on the per-contact rate and the total number of leads retrieved.
Lead retrieval is billed at $0.0039 per contact. Scrapes run asynchronously and can take time depending on queue length, but you pay only for leads returned. There are no hidden per-list fees. The Google Sheets write is included as part of the automation, with no per-row charges beyond the lead cost.
Yes. You can customize job titles, industries, company sizes, and lead counts in Configure Search Parameters. These parameters drive what ScraperCity returns and what the agent will write to Google Sheets. You can adjust them to target different buyer personas or markets without changing the workflow structure.
Yes. The workflow supports integrations to systems like HubSpot, Airtable, or via a webhook to your CRM. After a scrape completes, you can route the cleaned data automatically to your preferred destination. This eliminates manual exports and speeds up follow-up campaigns.
Yes. The agent deduplicates results during import and normalizes fields to ensure consistency across all records. This reduces duplicate outreach and improves data quality for analysis. You’ll see uniform column formats in Google Sheets after every write.
Create a ScraperCity account and get an API key, then configure the AI agent with your API key and Google Sheets credentials. Connect the Google Sheet you want to populate and set your target filters in Configure Search Parameters. Run a test scrape to verify results, then scale by adjusting lead counts and filters as needed.
Configure filters, monitor the ScraperCity job, and automatically log deduplicated Apollo leads into Google Sheets.
