Connect Apify integrations
Extract raw web data from any online source to train your LLMs by connecting Apify to Make. Linking these scraping actors to our workflow automation tool lets you instantly route social media profiles, Google Maps listings, or e-commerce prices to your databases. Create your free Make account today to start building your first autonomous data pipelines.
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App developer is its official vendor.
This app is supported and maintained by the vendor Apify.
Build your Apify integrations.
Unlocking the full potential of web scraping, automation, and data extraction becomes incredibly simple when you connect Apify to your daily business tools. By leveraging the power of Make, you can build custom automated workflows that connect Apify with thousands of other essential cloud applications, eliminating tedious manual data entry and boosting your team's overall productivity. Whether your goal is to automatically feed freshly extracted web data directly into your CRM system, trigger instant email notifications based on specific scraping results, or sync live web database updates to Google Sheets, this robust integration makes it entirely possible without writing a single line of code. Designers, developers, and marketers alike can design visual, multi-step maps of their data flows, ensuring critical business information moves precisely where it is needed in real-time. By automating these repetitive data collection tasks, you free up valuable resources to focus on scaling your daily operations and analyzing high-value insights. Take control of your digital ecosystem and experience how easy it is to supercharge your data collection and transform your business processes today by trying Make to integrate Apify.
Fetches items from a dataset.
Performs an arbitrary authorized API call.
Runs a selected Actor task.
Run a selected Actor.
Runs a scraper for the website and returns its content as text, markdown and HTML. This action is made for getting content of a single page, for example, to use in large language models (LLM) flows.
Triggers whenever a selected Actor is run and finished.
Triggers whenever a selected task is run and finished.
Connect any app with Apify
Popular Apify workflows.
Automate Apify tasks and connect your data to hundreds of apps. Discover popular Make workflows to save time.
Automate Your Web Scraping and Data Syncing by Integrating Apify with Make
By connecting Apify to Make, you can automate your web scraping tasks. Automatically send data to Google Sheets, generate AI summaries with ChatGPT, and trigger workflows without writing code.
Automatically send scraped data from Apify directly to Google Sheets, eliminating the need for manual downloads and file transfers.
Feed your web scraping results directly into AI tools like ChatGPT or Claude to automatically summarize articles, analyze reviews, or extract key insights.
Set up workflows that automatically email you summarized search results or newly extracted web data as soon as Apify finishes scraping.
Run complex Apify scraping tasks automatically based on specific schedules or triggers from other apps in your workflow.
FAQ
Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.
How it works
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