PGVector Integration
Pricing
Pay per usage
PGVector Integration
This integration transfers data from Apify Actors to a Postgres SQL database (with PGVector extension).
4.6 (5)
Pricing
Pay per usage
5
Total users
9
Monthly users
3
Runs succeeded
44%
Response time
19 hours
Last modified
24 days ago
You can access the PGVector 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "datasetFields": ["text"],10 "dataUpdatesStrategy": "deltaUpdates",11 "dataUpdatesPrimaryDatasetFields": ["url"],12 "deltaUpdatesPrimaryDatasetFields": ["url"],13}14
15# Run the Actor and wait for it to finish16run = client.actor("apify/pgvector-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-startPGVector Integration API in Python
The Apify API client for Python is the official library that allows you to use PGVector Integration API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
