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Popular Ways to Connect Trustpilot (Customer) with Python#
Popular Trustpilot (Customer) and Python Triggers#
Emit new event when a new conversation is started on Trustpilot. This source periodically polls the Trustpilot API to detect new customer-business conversations. Each event contains conversation details including participants, subject, business unit, and creation timestamp. Useful for tracking customer inquiries, support requests, and maintaining real-time communication with customers.
Emit new event when a business replies to a product review on Trustpilot. This source periodically polls the Trustpilot API to detect new replies to product reviews. Each event includes the reply text, creation timestamp, and associated review details (product name, star rating, consumer info). Ideal for monitoring business responses to customer feedback, tracking customer service performance, and ensuring timely engagement with product reviews.
Emit new event when a customer posts a new product review on Trustpilot. This source periodically polls the Trustpilot API to detect new product reviews. Each event contains the complete review data including star rating, review text, product information, consumer details, and timestamps. Perfect for monitoring product feedback, analyzing customer satisfaction trends, and triggering automated responses or alerts for specific products.
Emit new event when a business replies to a service review on Trustpilot. This source periodically polls the Trustpilot API to detect new replies to service reviews. Each event includes the reply text, creation timestamp, and associated review details (star rating, review title, consumer info). Essential for tracking business engagement with customer feedback, monitoring response times, and ensuring all service reviews receive appropriate attention.
Emit new event when a customer posts a new service review on Trustpilot. This source periodically polls the Trustpilot API to detect new service reviews using the private reviews API for comprehensive coverage.
Popular Trustpilot (Customer) and Python Actions#
Retrieves detailed information about a specific product review on Trustpilot. Use this action to get comprehensive data about a single product review, including customer feedback, star rating, review text, and metadata. Perfect for analyzing individual customer experiences, responding to specific feedback, or integrating review data into your customer service workflows. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Get a private service review by ID, including customer email and order ID. Access comprehensive data about an individual service review for your business. See the documentation
Get private reviews for a business unit. Response includes customer email and order ID. See the documentation
Overview of Trustpilot (Customer)#
The Trustpilot (Customer) API lets you tap into the rich pool of customer review data on Trustpilot. You can use it to automate the process of collecting and managing reviews, responding to feedback, and analyzing customer sentiment. With Pipedream's integration, you can trigger workflows based on new reviews, aggregate review data for analysis, and sync Trustpilot data with other services like CRMs, support tickets, and marketing tools.
Connect Trustpilot (Customer)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trustpilot: {
type: "app",
app: "trustpilot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.trustpilot.com/v1/business-units/${this.trustpilot.$auth.business_unit_id}/profileinfo`,
headers: {
"apikey": `${this.trustpilot.$auth.api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies