
Qdrant Integration
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Pay per usage
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Qdrant Integration
Transfer data from Apify Actors to a Qdrant vector database.
4.5 (2)
Pricing
Pay per usage
6
Total users
36
Monthly users
6
Runs succeeded
29%
Last modified
a month ago
You can access the Qdrant 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/qdrant-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
Qdrant Integration API in Python
The Apify API client for Python is the official library that allows you to use Qdrant Integration API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-client
Other API clients include: