Judge.me
Judge.me is the gold standard of product reviews and store reviews on Shopify.
Integrate the Judge.me API with the Python API
Setup the Judge.me API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Judge.me and Python remarkably fast. Free for developers.
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Popular Judge.me and Python Triggers#
Emit new event when a new review is posted. See the documentation
Popular Judge.me and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a private reply for a review, on behalf of the shop. Private replies are not shown on the widgets, but can be emailed to the reviewers. See the documentation
Create a public reply for a review on behalf of the shop. Public replies are shown publicly on the widgets. See the documentation
Overview of Judge.me#
The Judge.me API lets you tap into a rich repository of product review data, enabling you to automate the gathering, moderation, and publication of reviews on your store. You can also trigger actions based on review events, like thanking a customer after they leave a positive review or addressing negative feedback promptly. With Pipedream's serverless platform, you can craft workflows to interact with other apps, streamline processes, and react to review-related activities in real-time, without writing any backend code.
Connect Judge.me#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
judge_me: {
type: "app",
app: "judge_me",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://judge.me/api/v1/reviews`,
params: {
api_token: `${this.judge_me.$auth.oauth_access_token}`,
shop_domain: `${this.judge_me.$auth.shop_domain}`,
},
})
},
})
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