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RabbitMQ Integration

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RabbitMQ Integration

RabbitMQ Integration

brasil-scrapers/rabbitmq-integration
Try for free

1 day trial then $10.00/month - No credit card required now

This integration processes data from an Apify dataset and delivers it to a RabbitMQ queue. It is configured via a schema that includes details about the dataset and RabbitMQ connection settings.

You can access the RabbitMQ Integration programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "rabbitConfig": {
9        "url": "amqp://myuser:mypassword@localhost:5672",
10        "queue": "your-queue-name",
11    } }
12
13# Run the Actor and wait for it to finish
14run = client.actor("brasil-scrapers/rabbitmq-integration").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

RabbitMQ Integration API in Python

The Apify API client for Python is the official library that allows you to use RabbitMQ Integration API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

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Actor Metrics

  • 1 monthly user

  • 1 star

  • >99% runs succeeded

  • Created in Nov 2024

  • Modified 9 days ago