You can access the OpenAI Vector Store 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 = { "datasetFields": [
9        "url",
10        "text",
11        "metadata.title",
12    ] }
13
14# Run the Actor and wait for it to finish
15run = client.actor("jiri.spilka/openai-vector-store-integration").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

OpenAI Vector Store Integration API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

OpenAI Vector Store Integration API in JavaScript

OpenAI Vector Store Integration API through CLI

OpenAI Vector Store Integration OpenAPI definition

OpenAI Vector Store Integration API

Qdrant Integration

apify/qdrant-integration

Transfer data from Apify Actors to a Qdrant vector database.

Apify

4.5

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

457

3.2

PGVector Integration

apify/pgvector-integration

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

Apify

4.6

GPT Browser

anchor/gpt-browser

A GPT browser to use OpenAI prompt on any website. Put a list of URLs and a prompt, then the GPT agent will give you the answer you need. Fast, easy, and not limited with OpenAI ChatGPT restrictions. The best way to search and use GPT on large number of websites. Upload Excel or CSV. Screenshots 📸

Anchor

GPT Scraper

drobnikj/gpt-scraper

Extract data from any website and feed it into GPT via the OpenAI API. Use ChatGPT to proofread content, analyze sentiment, summarize reviews, extract contact details, and much more.

Jakub Drobník

6.1K

4.0

Monitoring

apify/monitoring

This actor monitors your actors' statuses, validates their datasets' data, and displays useful information in an interactive dashboard. And if something happens, you'll get notified via email or Slack.

Apify

162

4.4

BeautifulSoup Scraper

apify/beautifulsoup-scraper

Crawls websites using raw HTTP requests. It parses the HTML with the BeautifulSoup library and extracts data from the pages using Python code. Supports both recursive crawling and lists of URLs. This Actor is a Python alternative to Cheerio Scraper.

Apify

884

4.2

🔍 GPT Search [Private API]

openapi/gpt-search-private-api

Use OpenAI's GPT4o Search mode via API! No cookie or proxy is required. Fast, cheap and reliable.

Open API

5.0

Extended GPT Scraper

drobnikj/extended-gpt-scraper

Extract data from any website and feed it into GPT via the OpenAI API. Use ChatGPT to proofread content, analyze sentiment, summarize reviews, extract contact details, and much more.

Jakub Drobník

1.5K

4.1

RAG Web Browser

apify/rag-web-browser

Web browser for OpenAI Assistants, RAG pipelines, or AI agents, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages, and returns their content as Markdown for further processing by an LLM. It can also scrape individual URLs. Supports Model Context Protocol (MCP).

Apify

5.3K

4.4