IntegrationsApifyTimescaleDB
Apify + TimescaleDB

Connect Apify and TimescaleDB to Build Intelligent Automations

Choose a Trigger

Apify

When this happens...

Choose an Action

TimescaleDB

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Enable Integrations or automations with these events of Apify and TimescaleDB

Enable Integrations or automations with these events of Apify and TimescaleDB

Triggers

Finished Actor Run

Finished Actor Run

Triggers whenever a selected actor is run and finished.

Finished Task Run

Finished Task Run

Triggers whenever a selected task is run and finished.

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Actions

Run Task

Run Task

Run a selected actor task.

Set Key-Value Store Record

Set Key-Value Store Record

Creates a new or updates an existing record in a key-value store.

Run Actor

Run Actor

Runs a selected actor.

Find Last Actor Run

Find Last Actor Run

Finds the most recent actor run with a specific status.

Search Dataset By ID

Search Dataset By ID

Find a dataset in Apify by searching with its ID.

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Frequently Asked Questions

How do I start an integration between Apify and TimescaleDB?

To start, connect both your Apify and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Apify triggers actions in TimescaleDB (or vice versa).

Can we customize how data from Apify is recorded in TimescaleDB?

Absolutely. You can customize how Apify data is recorded in TimescaleDB. This includes choosing which data fields go into which fields of TimescaleDB, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Apify and TimescaleDB?

The data sync between Apify and TimescaleDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Apify to TimescaleDB?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Apify and TimescaleDB?

Yes, you can set conditional logic to control the flow of data between Apify and TimescaleDB. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Apify

About Apify

Apify is a powerful, scalable platform designed to automate web scraping, data extraction, and web automation tasks effortlessly. Whether you need to collect data from websites, automate repetitive browser actions, or build complex workflows, Apify provides a robust, developer-friendly environment to make it happen—without sacrificing flexibility or control.

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TimescaleDB

About TimescaleDB

TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.

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