ARGOS Harvester avatar

ARGOS Harvester

Try for free

3 days trial then $30.00/month - No credit card required now

Go to Store
ARGOS Harvester

ARGOS Harvester

jupri/argos-scraper
Try for free

3 days trial then $30.00/month - No credit card required now

πŸ’« Scrape Argos.co.uk

You can access the ARGOS Harvester programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1{
2  "openapi": "3.0.1",
3  "info": {
4    "version": "0.0",
5    "x-build-id": "g58BrdUqLMoOKSvo9"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/jupri~argos-scraper/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-jupri-argos-scraper",
16        "x-openai-isConsequential": false,
17        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18        "tags": [
19          "Run Actor"
20        ],
21        "requestBody": {
22          "required": true,
23          "content": {
24            "application/json": {
25              "schema": {
26                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/jupri~argos-scraper/runs": {
50      "post": {
51        "operationId": "runs-sync-jupri-argos-scraper",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$ref": "#/components/schemas/inputSchema"
63              }
64            }
65          }
66        },
67        "parameters": [
68          {
69            "name": "token",
70            "in": "query",
71            "required": true,
72            "schema": {
73              "type": "string"
74            },
75            "description": "Enter your Apify token here"
76          }
77        ],
78        "responses": {
79          "200": {
80            "description": "OK",
81            "content": {
82              "application/json": {
83                "schema": {
84                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/jupri~argos-scraper/run-sync": {
93      "post": {
94        "operationId": "run-sync-jupri-argos-scraper",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$ref": "#/components/schemas/inputSchema"
106              }
107            }
108          }
109        },
110        "parameters": [
111          {
112            "name": "token",
113            "in": "query",
114            "required": true,
115            "schema": {
116              "type": "string"
117            },
118            "description": "Enter your Apify token here"
119          }
120        ],
121        "responses": {
122          "200": {
123            "description": "OK"
124          }
125        }
126      }
127    }
128  },
129  "components": {
130    "schemas": {
131      "inputSchema": {
132        "type": "object",
133        "properties": {
134          "query": {
135            "title": "❓ Query",
136            "type": "array",
137            "description": "πŸ’‘ Search terms or URL",
138            "items": {
139              "type": "string"
140            }
141          },
142          "limit": {
143            "title": "♾️ Limit",
144            "type": "integer",
145            "description": "πŸ’‘ Number of results per-query"
146          },
147          "filters.extra": {
148            "title": "Enable",
149            "type": "boolean",
150            "description": "πŸ’‘ Include additional information: description, images, videos, variants, etc."
151          },
152          "filters.sort": {
153            "title": "πŸ”€ Sorting",
154            "enum": [
155              "relevance",
156              "price_low",
157              "price_high",
158              "rating",
159              "new"
160            ],
161            "type": "string",
162            "description": ""
163          },
164          "filters.category": {
165            "title": "πŸ“‚ Category",
166            "enum": [
167              "787124",
168              "788335",
169              "29944",
170              "29945",
171              "29942",
172              "29943",
173              "29620",
174              "29633",
175              "29634",
176              "29636",
177              "29638",
178              "29639",
179              "29562",
180              "29619",
181              "29624",
182              "29626",
183              "29623",
184              "29625",
185              "29932",
186              "29615",
187              "29356",
188              "29443",
189              "29441",
190              "29454",
191              "29439",
192              "29444",
193              "29442",
194              "29936",
195              "29939",
196              "29588",
197              "29940",
198              "788338",
199              "29618",
200              "29617",
201              "29616",
202              "788336",
203              "29571",
204              "29570",
205              "788369",
206              "788425",
207              "788424",
208              "29560",
209              "788337",
210              "29614",
211              "29613",
212              "29612",
213              "29559",
214              "788334",
215              "29575",
216              "29569",
217              "29574",
218              "29856",
219              "29572",
220              "29573",
221              "62254",
222              "29561",
223              "29372",
224              "29695",
225              "29692",
226              "29693",
227              "29000",
228              "798770",
229              "798776",
230              "798779",
231              "798781",
232              "29001",
233              "29029",
234              "29030",
235              "29033",
236              "29006",
237              "794311",
238              "29103",
239              "29111",
240              "795755",
241              "29101",
242              "29105",
243              "794310",
244              "30450",
245              "29005",
246              "29092",
247              "29089",
248              "29093",
249              "29008",
250              "29115",
251              "29010",
252              "29013",
253              "29026",
254              "29027",
255              "29025",
256              "29129",
257              "798766",
258              "29004",
259              "29075",
260              "29073",
261              "29077",
262              "29068",
263              "29074",
264              "29071",
265              "29067",
266              "827499",
267              "29058",
268              "29056",
269              "29062",
270              "29061",
271              "29063",
272              "29059",
273              "29007",
274              "29114",
275              "794320",
276              "798765",
277              "29012",
278              "29020",
279              "786292",
280              "29082",
281              "29042",
282              "29044",
283              "29002",
284              "29041",
285              "29054",
286              "29053",
287              "784357",
288              "29043",
289              "29131",
290              "691056",
291              "812374",
292              "1000309",
293              "1000310",
294              "691058",
295              "691057",
296              "691061",
297              "1000311",
298              "812621",
299              "691089",
300              "691090",
301              "691091",
302              "812626",
303              "812629",
304              "691094",
305              "691097",
306              "812624",
307              "691098",
308              "29137",
309              "29155",
310              "30415",
311              "29154",
312              "812622",
313              "691071",
314              "691072",
315              "691073",
316              "691074",
317              "812639",
318              "812642",
319              "691077",
320              "691078",
321              "691079",
322              "691080",
323              "691144",
324              "691146",
325              "691147",
326              "691148",
327              "691155",
328              "691158",
329              "826692",
330              "691165",
331              "691169",
332              "828046",
333              "691171",
334              "691164",
335              "691156",
336              "691175",
337              "812482",
338              "812483",
339              "812484",
340              "691104",
341              "828016",
342              "691107",
343              "691111",
344              "691132",
345              "691117",
346              "691136",
347              "691137",
348              "691138",
349              "826695",
350              "826768",
351              "826669",
352              "691127",
353              "691128",
354              "691142",
355              "691129",
356              "826773",
357              "691122",
358              "691116",
359              "797660",
360              "29382",
361              "29446",
362              "29460",
363              "789427",
364              "29370",
365              "29681",
366              "29680",
367              "29655",
368              "29675",
369              "29670",
370              "29668",
371              "797679",
372              "797680",
373              "29659",
374              "29658",
375              "29354",
376              "29408",
377              "29424",
378              "29416",
379              "29353",
380              "29394",
381              "29392",
382              "29396",
383              "29397",
384              "787141",
385              "29391",
386              "29361",
387              "29506",
388              "29504",
389              "29507",
390              "29381",
391              "29388",
392              "29490",
393              "29450",
394              "797685",
395              "797686",
396              "29462",
397              "29463",
398              "29464",
399              "29360",
400              "29653",
401              "29362",
402              "29518",
403              "29519",
404              "29517",
405              "29524",
406              "29654",
407              "797689",
408              "29801",
409              "29451",
410              "29848",
411              "797690",
412              "29660",
413              "29484",
414              "29485",
415              "29492",
416              "29495",
417              "29164",
418              "29184",
419              "804951",
420              "29172",
421              "29173",
422              "29202",
423              "29169",
424              "29187",
425              "827498",
426              "824734",
427              "824735",
428              "29166",
429              "29186",
430              "826738",
431              "29203",
432              "29262",
433              "29259",
434              "29232",
435              "29233",
436              "29231",
437              "29213",
438              "29283",
439              "29282",
440              "29207",
441              "29237",
442              "29235",
443              "29236",
444              "29242",
445              "29238",
446              "29204",
447              "29219",
448              "29217",
449              "29220",
450              "29211",
451              "29263",
452              "798483",
453              "29264",
454              "29267",
455              "29266",
456              "29265",
457              "798643",
458              "29209",
459              "29251",
460              "29253",
461              "29254",
462              "29255",
463              "29256",
464              "29212",
465              "29274",
466              "29277",
467              "29279",
468              "798616",
469              "29268",
470              "29234",
471              "62259",
472              "62260",
473              "62261",
474              "29205",
475              "798477",
476              "29226",
477              "29229",
478              "29227",
479              "828078",
480              "29208",
481              "29247",
482              "29244",
483              "29246",
484              "29249",
485              "29248",
486              "29351",
487              "29531",
488              "29544",
489              "29546",
490              "29858",
491              "29859",
492              "29358",
493              "29366",
494              "29865",
495              "29603",
496              "29598",
497              "29870",
498              "29601",
499              "29540",
500              "29541",
501              "812365",
502              "29706",
503              "29369",
504              "29649",
505              "29647",
506              "29648",
507              "29363",
508              "29378",
509              "29527",
510              "1000177",
511              "1000173",
512              "812473",
513              "29371",
514              "825694",
515              "29873",
516              "29016",
517              "826710",
518              "29902",
519              "29917",
520              "29705",
521              "29704",
522              "29355",
523              "29434",
524              "29376",
525              "29802",
526              "29804",
527              "29807",
528              "29808",
529              "29805",
530              "29803",
531              "29368",
532              "29641",
533              "29887",
534              "797721",
535              "29644",
536              "29643",
537              "29885",
538              "29861",
539              "29863",
540              "29862",
541              "29375",
542              "29365",
543              "29890",
544              "1000065",
545              "1000060",
546              "29593",
547              "29596",
548              "29590",
549              "29707",
550              "824441",
551              "29298",
552              "29344",
553              "29343",
554              "29303",
555              "29336",
556              "29338",
557              "29342",
558              "29339",
559              "29340",
560              "29302",
561              "29327",
562              "29328",
563              "29329",
564              "29330",
565              "29299",
566              "29309",
567              "29307",
568              "786024",
569              "29306",
570              "29301",
571              "29311",
572              "29312",
573              "29315",
574              "29310",
575              "29316",
576              "29317",
577              "30468",
578              "30470",
579              "658435",
580              "30492",
581              "30493",
582              "30469",
583              "30486",
584              "30485",
585              "30482",
586              "779035",
587              "798507",
588              "30474",
589              "30471",
590              "30508",
591              "30506",
592              "30505",
593              "30476",
594              "30668",
595              "30671",
596              "30666",
597              "30473",
598              "30609",
599              "30610",
600              "30612",
601              "30621",
602              "30614",
603              "30622",
604              "30624",
605              "30626",
606              "30613",
607              "62319",
608              "30619",
609              "30618",
610              "786025",
611              "30475",
612              "30477",
613              "30679",
614              "30675",
615              "30478",
616              "30690",
617              "30691",
618              "798475",
619              "30696",
620              "30677",
621              "30472",
622              "30479",
623              "798487",
624              "30736",
625              "30737",
626              "30533",
627              "30531",
628              "30530",
629              "798650",
630              "798656",
631              "798655",
632              "798651",
633              "30616",
634              "693343",
635              "30630",
636              "798665",
637              "30634",
638              "30631",
639              "29949",
640              "30175",
641              "29961",
642              "30168",
643              "30042",
644              "30073",
645              "30061",
646              "30098",
647              "30278",
648              "30277",
649              "30117",
650              "29964",
651              "798533",
652              "30220",
653              "30128",
654              "30135",
655              "29957",
656              "30160",
657              "30051",
658              "30048",
659              "30279",
660              "815772",
661              "30274",
662              "30049",
663              "30275",
664              "29959",
665              "30146",
666              "828094",
667              "30147",
668              "30043",
669              "30075",
670              "30088",
671              "30134",
672              "29973",
673              "30284",
674              "30222",
675              "30123",
676              "815763",
677              "815765",
678              "30158",
679              "30159",
680              "29967",
681              "29955",
682              "30106",
683              "30113",
684              "30111",
685              "29988",
686              "30294",
687              "30293",
688              "30292",
689              "30005",
690              "30006",
691              "29995",
692              "812421",
693              "812422",
694              "812420",
695              "29994",
696              "812426",
697              "823765",
698              "812425",
699              "30299",
700              "30463",
701              "30314",
702              "30302",
703              "42641",
704              "42640",
705              "42642",
706              "42643",
707              "30411",
708              "30375",
709              "30446",
710              "795761",
711              "795754",
712              "794316",
713              "795772",
714              "794315",
715              "795757",
716              "30380",
717              "30377",
718              "30305",
719              "30384",
720              "30383",
721              "30381",
722              "30388",
723              "30423",
724              "30424",
725              "649196",
726              "30395",
727              "30410",
728              "30414",
729              "30416",
730              "30334",
731              "810118",
732              "30362",
733              "30369",
734              "30379",
735              "30306",
736              "30300",
737              "30361",
738              "30319",
739              "30352",
740              "30325",
741              "30373",
742              "30308",
743              "30311",
744              "30426",
745              "30428",
746              "30429",
747              "1000232",
748              "30318",
749              "42619",
750              "30335"
751            ],
752            "type": "string",
753            "description": ""
754          },
755          "filters.rating": {
756            "title": "⭐ Rating",
757            "enum": [
758              "5",
759              "4",
760              "3",
761              "2",
762              "1"
763            ],
764            "type": "string",
765            "description": ""
766          },
767          "filters.price_min": {
768            "title": "πŸ’² Price Range",
769            "type": "integer",
770            "description": ""
771          },
772          "filters.price_max": {
773            "title": "",
774            "type": "integer",
775            "description": ""
776          },
777          "dev_custom_headers": {
778            "title": "πŸ“œ HTTP HEADERS",
779            "type": "array",
780            "description": "πŸ’‘ Additional HTTP Headers",
781            "items": {
782              "type": "object",
783              "required": [
784                "key",
785                "value"
786              ],
787              "properties": {
788                "key": {
789                  "type": "string",
790                  "title": "Key"
791                },
792                "value": {
793                  "type": "string",
794                  "title": "Value"
795                }
796              }
797            }
798          },
799          "dev_custom_cookies": {
800            "title": "🍰 HTTP COOKIES",
801            "type": "array",
802            "description": "πŸ’‘ Additional HTTP Cookies",
803            "items": {
804              "type": "object",
805              "required": [
806                "key",
807                "value"
808              ],
809              "properties": {
810                "key": {
811                  "type": "string",
812                  "title": "Key"
813                },
814                "value": {
815                  "type": "string",
816                  "title": "Value"
817                }
818              }
819            }
820          },
821          "dev_transform_fields": {
822            "title": "♻️ CUSTOM FIELD",
823            "type": "array",
824            "description": "πŸ’‘ <b>Transform the resulting output. Select only needed fields.</b><br><br>For nested object use <b>DOT</b>. For example: <pre>address.streetAddress</pre><br>For nested array use <b>NUMBER</b> <i>(index of array element starting from index=0)</i>. For example: <pre>images.0.url</pre>",
825            "items": {
826              "type": "object",
827              "required": [
828                "key",
829                "value"
830              ],
831              "properties": {
832                "key": {
833                  "type": "string",
834                  "title": "Key"
835                },
836                "value": {
837                  "type": "string",
838                  "title": "Value"
839                }
840              }
841            }
842          },
843          "dev_dataset_name": {
844            "title": "πŸ“ CUSTOM STORAGE",
845            "type": "string",
846            "description": "πŸ’‘ <b>Save results into custom named Dataset, use mask to customize dataset name</b><br><br><code>{ACTOR} = actor name<br>{DATE} = date (YYYYMMDD)<br>{TIME} = time (HHMMSS)</code><br><br>This masks can be used to autogenerate Dataset Name.<br><br>example: <i><code>data-{DATE}</code></i><br>Depending on today date the dataset name will be: <code>data-20230603</code><i><br><br>default: <code>data-{ACTOR}-{DATE}-{TIME}</code></i>"
847          },
848          "dev_dataset_clear": {
849            "title": "Clear Storage",
850            "type": "boolean",
851            "description": "Clear Dataset before insert/update."
852          },
853          "dev_no_strip": {
854            "title": "Disable data cleansing",
855            "type": "boolean",
856            "description": "πŸ’‘ Keep/Save empty values <i><code>(NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)</code></i>"
857          }
858        }
859      },
860      "runsResponseSchema": {
861        "type": "object",
862        "properties": {
863          "data": {
864            "type": "object",
865            "properties": {
866              "id": {
867                "type": "string"
868              },
869              "actId": {
870                "type": "string"
871              },
872              "userId": {
873                "type": "string"
874              },
875              "startedAt": {
876                "type": "string",
877                "format": "date-time",
878                "example": "2025-01-08T00:00:00.000Z"
879              },
880              "finishedAt": {
881                "type": "string",
882                "format": "date-time",
883                "example": "2025-01-08T00:00:00.000Z"
884              },
885              "status": {
886                "type": "string",
887                "example": "READY"
888              },
889              "meta": {
890                "type": "object",
891                "properties": {
892                  "origin": {
893                    "type": "string",
894                    "example": "API"
895                  },
896                  "userAgent": {
897                    "type": "string"
898                  }
899                }
900              },
901              "stats": {
902                "type": "object",
903                "properties": {
904                  "inputBodyLen": {
905                    "type": "integer",
906                    "example": 2000
907                  },
908                  "rebootCount": {
909                    "type": "integer",
910                    "example": 0
911                  },
912                  "restartCount": {
913                    "type": "integer",
914                    "example": 0
915                  },
916                  "resurrectCount": {
917                    "type": "integer",
918                    "example": 0
919                  },
920                  "computeUnits": {
921                    "type": "integer",
922                    "example": 0
923                  }
924                }
925              },
926              "options": {
927                "type": "object",
928                "properties": {
929                  "build": {
930                    "type": "string",
931                    "example": "latest"
932                  },
933                  "timeoutSecs": {
934                    "type": "integer",
935                    "example": 300
936                  },
937                  "memoryMbytes": {
938                    "type": "integer",
939                    "example": 1024
940                  },
941                  "diskMbytes": {
942                    "type": "integer",
943                    "example": 2048
944                  }
945                }
946              },
947              "buildId": {
948                "type": "string"
949              },
950              "defaultKeyValueStoreId": {
951                "type": "string"
952              },
953              "defaultDatasetId": {
954                "type": "string"
955              },
956              "defaultRequestQueueId": {
957                "type": "string"
958              },
959              "buildNumber": {
960                "type": "string",
961                "example": "1.0.0"
962              },
963              "containerUrl": {
964                "type": "string"
965              },
966              "usage": {
967                "type": "object",
968                "properties": {
969                  "ACTOR_COMPUTE_UNITS": {
970                    "type": "integer",
971                    "example": 0
972                  },
973                  "DATASET_READS": {
974                    "type": "integer",
975                    "example": 0
976                  },
977                  "DATASET_WRITES": {
978                    "type": "integer",
979                    "example": 0
980                  },
981                  "KEY_VALUE_STORE_READS": {
982                    "type": "integer",
983                    "example": 0
984                  },
985                  "KEY_VALUE_STORE_WRITES": {
986                    "type": "integer",
987                    "example": 1
988                  },
989                  "KEY_VALUE_STORE_LISTS": {
990                    "type": "integer",
991                    "example": 0
992                  },
993                  "REQUEST_QUEUE_READS": {
994                    "type": "integer",
995                    "example": 0
996                  },
997                  "REQUEST_QUEUE_WRITES": {
998                    "type": "integer",
999                    "example": 0
1000                  },
1001                  "DATA_TRANSFER_INTERNAL_GBYTES": {
1002                    "type": "integer",
1003                    "example": 0
1004                  },
1005                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
1006                    "type": "integer",
1007                    "example": 0
1008                  },
1009                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
1010                    "type": "integer",
1011                    "example": 0
1012                  },
1013                  "PROXY_SERPS": {
1014                    "type": "integer",
1015                    "example": 0
1016                  }
1017                }
1018              },
1019              "usageTotalUsd": {
1020                "type": "number",
1021                "example": 0.00005
1022              },
1023              "usageUsd": {
1024                "type": "object",
1025                "properties": {
1026                  "ACTOR_COMPUTE_UNITS": {
1027                    "type": "integer",
1028                    "example": 0
1029                  },
1030                  "DATASET_READS": {
1031                    "type": "integer",
1032                    "example": 0
1033                  },
1034                  "DATASET_WRITES": {
1035                    "type": "integer",
1036                    "example": 0
1037                  },
1038                  "KEY_VALUE_STORE_READS": {
1039                    "type": "integer",
1040                    "example": 0
1041                  },
1042                  "KEY_VALUE_STORE_WRITES": {
1043                    "type": "number",
1044                    "example": 0.00005
1045                  },
1046                  "KEY_VALUE_STORE_LISTS": {
1047                    "type": "integer",
1048                    "example": 0
1049                  },
1050                  "REQUEST_QUEUE_READS": {
1051                    "type": "integer",
1052                    "example": 0
1053                  },
1054                  "REQUEST_QUEUE_WRITES": {
1055                    "type": "integer",
1056                    "example": 0
1057                  },
1058                  "DATA_TRANSFER_INTERNAL_GBYTES": {
1059                    "type": "integer",
1060                    "example": 0
1061                  },
1062                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
1063                    "type": "integer",
1064                    "example": 0
1065                  },
1066                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
1067                    "type": "integer",
1068                    "example": 0
1069                  },
1070                  "PROXY_SERPS": {
1071                    "type": "integer",
1072                    "example": 0
1073                  }
1074                }
1075              }
1076            }
1077          }
1078        }
1079      }
1080    }
1081  }
1082}

Argos Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for ARGOS Harvester from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Developer
Maintained by Community

Actor Metrics

  • 1 monthly user

  • 3 stars

  • >99% runs succeeded

  • Created in Sep 2022

  • Modified 3 months ago

Categories