content-apify-integration-importerror-when-trying-to-import-apifywrapper-fro-7b2eeb1a

THEN Replace the non-existent ApifyWrapper with the official Apify Python client library. Use ApifyClient to call the actor and get the dataset ID, then load documents with ApifyDatasetLoader using that dataset ID.

import os
from apify_client import ApifyClient
from langchain.document_loaders.base import Document
from langchain.document_loaders import ApifyDatasetLoader
from langchain.indexes import VectorstoreIndexCreator

apify_client = ApifyClient("Your Apify token")
actor_call = apify_client.actor("apify/website-content-crawler").call(
    run_input={"startUrls": [{"url": "https://python.langchain.com/en/latest/"}]},
)
loader = ApifyDatasetLoader(
    dataset_id=actor_call["defaultDatasetId"],
    dataset_mapping_function=lambda item: Document(
        page_content=item["text"] or "", metadata={"source": item["url"]}
    ),
)
index = VectorstoreIndexCreator().from_loaders([loader])
query = "What is LangChain?"
result = index.query_with_sources(query)
print(result["answer"])
print(result["sources"])