I am using the actor in node js using apify client package. But sometimes I get this type error

TypeError: {(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)(intermediate value)} is not a function

Code:

1const client = new ApifyClient({
2                token: token,
3            });
4
5            if(location==null){
6                location='';
7            }
8            const input = {
9                "filter:blue_verified": false,
10                "filter:consumer_video": false,
11                "filter:has_engagement": false,
12                "filter:hashtags": false,
13                "filter:images": false,
14                "filter:links": false,
15                "filter:media": false,
16                "filter:mentions": false,
17                "filter:native_video": false,
18                "filter:nativeretweets": false,
19                "filter:news": false,
20                "filter:pro_video": false,
21                "filter:quote": false,
22                "filter:replies": false,
23                "filter:safe": false,
24                "filter:spaces": false,
25                "filter:twimg": false,
26                "filter:verified": false,
27                "filter:videos": false,
28                "filter:vine": false,
29                "include:nativeretweets": false,
30                "maxItems": limit,
31                "queryType": "Latest",
32                "searchTerms": keywords,
33                "since": startDate,
34                "until": endDate,
35                "min_retweets": 0,
36                "min_faves": 0,
37                "min_replies": 0,
38                "-min_retweets": 0,
39                "-min_faves": 0,
40                "-min_replies": 0,
41                 "near": location,
42              }
43              //console.log(input);
44            (async () => {
45                try {
46                    // Run the Actor and wait for it to finish
47                    const run = await client.actor("ACTOR_ID").call(input);
48    
49                    // Fetch and process Actor results
50                    const { items } = await client.dataset(run.defaultDatasetId).listItems();
51                    itemsArray.push(items);
52    for(let i=0; i<allConn.length; i++){
53                                if(allConn[i].id == sessionId){
54                                    allConn[i].ws.send(JSON.stringify({event: "InstantScrapeComplete", status: "Success", data: itemsArray}));
55                                }
56                            }
57                        }
58                } catch (error) {
59                    const { message } = error;
60                    
61                    
62                        for(let i=0; i<allConn.length; i++){
63                            if(allConn[i].id == sessionId){
64                                allConn[i].ws.send(JSON.stringify({event: "InstantScrapeComplete", status: "Error", msg: message, data: itemsArray}));
65                            }
66                        }
67                    
68                }
69            })();
70        }