File size: 1,931 Bytes
936253d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | import os
from typing import Any, Dict, Iterable, Optional
from apify_client import ApifyClient
from dotenv import load_dotenv
load_dotenv()
client: Optional[ApifyClient] = None
def create_client() -> ApifyClient:
"""Create or return the shared Apify client connection."""
global client
if client is None:
token = os.getenv("APIFY_API_TOKEN")
if not token:
raise RuntimeError(
"APIFY_API_TOKEN is not set. Add it to your environment or .env file."
)
client = ApifyClient(token)
return client
class BaseClient:
"""Common Apify client wrapper for actor-based scrapers."""
actor_id: str = ""
def __init__(
self,
client: Optional[ApifyClient] = None,
actor_id: Optional[str] = None,
default_run_input: Optional[Dict[str, Any]] = None,
) -> None:
self.client = client if client is not None else create_client()
self.actor_id = actor_id or self.actor_id
self.default_run_input = default_run_input or {}
def build_run_input(self, run_input: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
combined_input = dict(self.default_run_input)
if run_input:
combined_input.update(run_input)
return combined_input
def run(self, run_input: Optional[Dict[str, Any]] = None) -> Iterable[Dict[str, Any]]:
if not self.actor_id:
raise NotImplementedError("No Apify actor is configured for this scraper.")
actor_input = self.build_run_input(run_input)
run = self.client.actor(self.actor_id).call(run_input=actor_input)
if run.status != "SUCCEEDED":
raise RuntimeError(f"Actor run failed with status: {run.status}")
dataset_id = run.default_dataset_id
if not dataset_id:
return []
return list(self.client.dataset(dataset_id).iterate_items())
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