How to Export Scraped Data to Excel and Google Sheets (Apify, Octoparse, Crawlee)
· 4 min read
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Google Sheets: guides & tutorials
Send scraped tables to Google Sheets for charts, sharing, and light ops tracking. Apify webhooks append fresh rows on the cadence your team chooses.
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Sending scraped data to Google Sheets gives teams a shareable, chart-friendly home for results without a database. These guides cover pushing Apify datasets into Sheets on the cadence you choose.
Apify webhooks and the Sheets integration append fresh rows automatically, replacing manual copy-paste. Below you will find tutorials for connecting Apify to Google Sheets and keeping data current.
Related topics
Make.com Google Sheets Automation: Form-to-Sheet, Sync, and Bulk Workflows
· 4 min read
Spreadsheets become bottlenecks when teams use them as both database and workflow engine. Make automates around Sheets: triggers on new or updated rows, actions to add or bulk-update data, and routing to CRM, Slack, or other apps. This guide covers modules, patterns, and data hygiene.
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Frequently asked questions
Frequently Asked Questions
Use the Apify Google Sheets integration, Make.com HTTP modules, or Zapier to push dataset rows to a sheet when actor runs complete. The Apify dataset CSV export endpoint makes it easy to import via Google Sheets IMPORTDATA function for simple use cases. For real-time updates, webhooks trigger on run completion.
Yes: store URLs to scrape in a sheet, use the Sheets API or Make to read them, and pass them as Apify actor inputs. This makes it easy for non-technical team members to manage crawl lists. Combine with a status column that actors update via the API to show which URLs are pending, running, or complete.
Sheets cap at 10 million cells per spreadsheet, with performance degrading significantly above 200,000 rows. For larger datasets, use Apify datasets with periodic exports, or load data into BigQuery and connect Sheets as a Looker Studio data source. Sheets is ideal for team visibility on smaller daily scrapes.
Create a Make.com or Zapier scenario: trigger on schedule or webhook, start Apify actor run, wait for completion, then append dataset rows to a Google Sheet using the Sheets module. Non-technical users can configure these workflows in the visual builder without writing any code or handling API authentication manually.