Deprecated

Pricing

$5.00/month + usage

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Weaviate Integration

Deprecated

See alternative Actors

Developed by

Datastorm

Easily integrate Apify & Weaviate Push selected fields from Apify Actor into any Weaviate class. If the Weaviate class does not exist the integration will created it. Efficient & user-friendly data handling solution.

0.0 (0)

Pricing

$5.00/month + usage

Total users

Monthly users

Last modified

2 years ago

Developer tools

Automation

You can access the Weaviate Integration programmatically from your own 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = {
9    "weaviateClass": "XXX",
10    "weaviateHost": "myindex.weaviate.network",
11    "fieldMappings": [
12        {
13            "datasetColumnName": "url",
14            "dbPropertyName": "key",
15            "isKeyColumn": True,
16            "isMetadata": True,
17            "dataType": ["text"],
18        },
19        {
20            "datasetColumnName": "pageTitle",
21            "dbPropertyName": "pageTitle",
22            "isKeyColumn": False,
23            "isMetadata": False,
24            "dataType": ["text"],
25        },
26    ],
27}
28
29# Run the Actor and wait for it to finish
30run = client.actor("datastorm/weaviate-integration").call(run_input=run_input)
31
32# Fetch and print Actor results from the run's dataset (if there are any)
33print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
34for item in client.dataset(run["defaultDatasetId"]).iterate_items():
35    print(item)
36
37# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Weaviate Integration API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Weaviate Integration API in JavaScript

Weaviate Integration API through CLI

Weaviate Integration OpenAPI definition

Weaviate Integration API

Weaviate Integration

apify/weaviate-integration

This integration transfers data from Apify Actors to a Weaviate and is a good starting point for a question-answering, search, or RAG use case.

Apify

4.7

Pinecone Integration

apify/pinecone-integration

This integration transfers data from Apify Actors to a Pinecone and is a good starting point for a question-answering, search, or RAG use case.

Apify

418

3.8

Kafka Integration

brasil-scrapers/kafka-integration

This integration facilitates the processing of data from an Apify dataset and its delivery to a Kafka topic. It is configured via a schema that includes details about the dataset, Kafka configuration, and batch processing size.

Brasil Scrapers

Chroma Integration

apify/chroma-integration

This integration transfers data from Apify Actors to a Chroma and is a good starting point for a question-answering, search, or RAG use case.

Apify

4.7

RabbitMQ Integration

brasil-scrapers/rabbitmq-integration

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.

Brasil Scrapers

OpenSearch Integration

apify/opensearch-integration

Transfer data from Apify Actors to Amazon OpenSearch Service. This Actor is a good starting point for building question-answering systems, search functionality, or Retrieval-Augmented Generation (RAG) use cases.

Apify

4.4

Power Webhook Integration

pocesar/run-webhook-digest

Allows you to provide multiple HTTP endpoints, that receive a more complete JSON from the run, and allow you to hit those endpoints using a proxy, and enable you to do conditional webhook calls with some lines of Javascript code and you can link/chain one actor to another

Paulo Cesar

Milvus Integration

apify/milvus-integration

This integration transfers data from Apify Actors to a Milvus/Zilliz database and is a good starting point for a question-answering, search, or RAG use case.

Apify

4.5