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    "datasetFields": ["text"],
10    "dataUpdatesStrategy": "deltaUpdates",
11    "dataUpdatesPrimaryDatasetFields": ["url"],
12    "deltaUpdatesPrimaryDatasetFields": ["url"],
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("apify/weaviate-integration").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 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

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

483

3.2

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

4.5

Opengauss Integration

wyswyz/opengauss-integration

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

Y Wang

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

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

PGVector Integration

apify/pgvector-integration

This integration transfers data from Apify Actors to a Postgres SQL database (with PGVector extension).

Apify

4.6

🎉 Apify Actors

prog-party/apify-actors

This Apify Actors Actor retrieves data from Apify, allowing to filter, and returns a list of actors as a Dataset.

Prog Party

OpenAI Vector Store Integration

jiri.spilka/openai-vector-store-integration

This integration uploads data from Apify Actors to the OpenAI Vector Store linked to OpenAI Assistant.

Jiří Spilka

192

4.8

Qdrant Integration

apify/qdrant-integration

Transfer data from Apify Actors to a Qdrant vector database.

Apify

4.5

Point2homes Scraper

getdataforme/point2homes-scraper

The Point2Homes Scraper is a web crawler that extracts real estate listings from Point2Homes. It gathers key details like price, location, size, bedrooms, bathrooms, and listing status. The scraper handles pagination and dynamic content, providing up-to-date, accurate insights.