Connect Pappers and Redis to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Pappers
Choose an Action
Automatically do this!
- Request a new Action for Redis
Enable Integrations or automations with these events of Pappers and Redis
Enable Integrations or automations with these events of Pappers and Redis
Actions
Search Companies
Find companies matching your search terms and selected filters.
Get Company Details
Retrieve company information from Pappers using SIREN or SIRET.
Get Company Financials
Retrieve a company's financial statements and key ratios for a specified year using its SIREN number.
Search Company Directors
Find company directors in France by name and filters (role, age, nationality, company SIREN/NAF, location); optionally include their companies.
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Frequently Asked Questions
To start, connect both your Pappers and Redis accounts to viaSocket. Once connected, you can set up a workflow where an event in Pappers triggers actions in Redis (or vice versa).
Absolutely. You can customize how Pappers data is recorded in Redis. This includes choosing which data fields go into which fields of Redis, setting up custom formats, and filtering out unwanted information.
The data sync between Pappers and Redis typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Pappers and Redis. 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.
About Pappers
Pappers.fr is a French business intelligence platform that provides access to comprehensive legal, financial, and administrative data on companies registered in France.
Learn MoreAbout Redis
Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more, making it highly versatile for developers looking to build high-performance applications.
Learn More
