GraphQL Extractor

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "limit": 100,
10    "url": "https://apify.hashnode.dev/api/graphql",
11    "query": """query ($host: String!, $after: String, $first: Int!, $filter: PublicationPostConnectionFilter) {\r
12    publication(host: $host) {\r
13        id\r
14        posts(after: $after, first: $first, filter: $filter) {\r
15            edges {\r
16                node {\r
17                    __typename id title subtitle slug publishedAt url brief\r
18                }\r
19                __typename\r
20            }\r
21            pageInfo { hasNextPage endCursor __typename }\r
22            totalDocuments\r
23            __typename\r
24        }\r
25        __typename\r
26    }\r
27}""",
28    "variables": "{ \"host\": \"apify.hashnode.dev\", \"first\": 10 }",
29    "cursor.step": 25,
30    "cursor.index": "",
31    "cursor.next": "after",
32    "cursor.offset": "",
33    "cursor.limit": "first",
34    "parse.root": "publication.posts",
35    "parse.list": "edges",
36    "parse.item": "node",
37    "parse.total": "totalDocuments",
38    "parse.next": "pageInfo.endCursor",
39}
40
41# Run the Actor and wait for it to finish
42run = client.actor("jupri/graphql-extractor").call(run_input=run_input)
43
44# Fetch and print Actor results from the run's dataset (if there are any)
45print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
46for item in client.dataset(run["defaultDatasetId"]).iterate_items():
47    print(item)
48
49# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start