Bulk AI Dataset Enricher – Run LLM Prompts on Every Row
Pricing
from $0.80 / 1,000 row enricheds
Run an AI prompt on every row of an Apify dataset, CSV, Excel or JSON list: classify, tag sentiment, extract fields, summarize or translate with GPT, Gemini, Claude, Llama and 400+ models. No API key. $0.80 per 1,000 rows + LLM tokens.
You can access the Bulk AI Dataset Enricher – Run LLM Prompts on Every Row programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
# Set API token$API_TOKEN=<YOUR_API_TOKEN>
# Prepare Actor input$cat > input.json << 'EOF'<{< "items": [< {< "product": "Wireless earbuds",< "review": "Battery lasts all day and pairing was instant. Best purchase this year!",< "rating": 5< },< {< "product": "Wireless earbuds",< "review": "Left earbud stopped working after two weeks. Support never answered my emails.",< "rating": 1< },< {< "product": "Coffee grinder",< "review": "Grinds evenly but it is louder than I expected. Fine for the price.",< "rating": 3< },< {< "product": "Coffee grinder",< "review": "Package arrived three days late and the box was crushed, but the grinder itself works.",< "rating": 3< },< {< "product": "Desk lamp",< "review": "Lámpara preciosa, luz cálida y muy buena calidad. La recomiendo.",< "rating": 5< }< ],< "maxRows": 5,< "prompt": "Analyze this customer review.\nProduct: {{product}}\nStars: {{rating}}\nReview: {{review}}",< "outputMode": "json",< "outputFields": {< "sentiment": "positive|negative|neutral|mixed",< "mainTopic": "short topic, e.g. battery, shipping, noise, quality",< "needsReply": "boolean - true if customer support should respond",< "replyDraft": "one polite sentence the shop could reply with, in the review's language"< }<}<EOF
# Run the Actor using an HTTP API# See the full API reference at https://docs.apify.com/api/v2$curl "https://api.apify.com/v2/actors/gazidev~bulk-ai-dataset-enricher/runs?token=$API_TOKEN" \< -X POST \< -d @input.json \< -H 'Content-Type: application/json'Below, you can find a list of relevant HTTP API endpoints for calling the Bulk AI Dataset Enricher – Run LLM Prompts on Every Row Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under API & Integrations in Apify Console. For details, see the API reference.
https://api.apify.com/v2/actors/gazidev~bulk-ai-dataset-enricher/runs?token=<YOUR_API_TOKEN>Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.
https://api.apify.com/v2/actors/gazidev~bulk-ai-dataset-enricher/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.
https://api.apify.com/v2/actors/gazidev~bulk-ai-dataset-enricher?token=<YOUR_API_TOKEN>For more information, please refer to our Get Actor API documentation.
Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Bulk AI Dataset Enricher – Run LLM Prompts on Every Row API programmatically via the Apify API.
You can choose from:
You can start Bulk AI Dataset Enricher – Run LLM Prompts on Every Row with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Bulk AI Dataset Enricher – Run LLM Prompts on Every Row is identified within the API by its ID, which is the creator’s username and the name of the Actor.
When the Bulk AI Dataset Enricher – Run LLM Prompts on Every Row run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.