The Naukri Navigator: Charting Your Career Journey
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The Naukri Navigator: Charting Your Career Journey
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π« Scrape Naukri.com Jobs
You can access the The Naukri Navigator: Charting Your Career Journey programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
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787 "BFSI π Banking",
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789 "BFSI π FinTech / Payments",
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814 "Consumer, Retail & Hospitality π Food Processing",
815 "Consumer, Retail & Hospitality π Furniture & Furnishing",
816 "Consumer, Retail & Hospitality π Gems & Jewellery",
817 "Consumer, Retail & Hospitality π Hotels & Restaurants",
818 "Consumer, Retail & Hospitality π Leather",
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826 "Manufacturing & Production π Defence & Aerospace",
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829 "Manufacturing & Production π Industrial Automation",
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834 "Manufacturing & Production π Petrochemical / Plastics / Rubber",
835 "Manufacturing & Production π Pulp & Paper",
836 "Infrastructure, Transport & Real Estate π Aviation",
837 "Infrastructure, Transport & Real Estate π Courier / Logistics",
838 "Infrastructure, Transport & Real Estate π Engineering & Construction",
839 "Infrastructure, Transport & Real Estate π Oil & Gas",
840 "Infrastructure, Transport & Real Estate π Ports & Shipping",
841 "Infrastructure, Transport & Real Estate π Power",
842 "Infrastructure, Transport & Real Estate π Railways",
843 "Infrastructure, Transport & Real Estate π Real Estate",
844 "Infrastructure, Transport & Real Estate π Urban Transport",
845 "Infrastructure, Transport & Real Estate π Water Treatment / Waste Management",
846 "Media, Entertainment & Telecom π Advertising & Marketing",
847 "Media, Entertainment & Telecom π Animation & VFX",
848 "Media, Entertainment & Telecom π Events / Live Entertainment",
849 "Media, Entertainment & Telecom π Film / Music / Entertainment",
850 "Media, Entertainment & Telecom π Gaming",
851 "Media, Entertainment & Telecom π Printing & Publishing",
852 "Media, Entertainment & Telecom π Sports / Leisure & Recreation",
853 "Media, Entertainment & Telecom π TV / Radio",
854 "Miscellaneous π Agriculture / Forestry / Fishing",
855 "Miscellaneous π Government / Public Administration",
856 "Miscellaneous π Import & Export",
857 "Miscellaneous π Miscellaneous",
858 "Miscellaneous π NGO / Social Services / Industry Associations"
859 ]
860 }
861 },
862 "dev_custom_headers": {
863 "title": "π HTTP HEADERS",
864 "type": "array",
865 "description": "π‘ Additional HTTP Headers",
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929 "title": "π CUSTOM STORAGE",
930 "type": "string",
931 "description": "π‘ <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>"
932 },
933 "dev_dataset_clear": {
934 "title": "Clear Storage",
935 "type": "boolean",
936 "description": "Clear Dataset before insert/update."
937 },
938 "dev_no_strip": {
939 "title": "Disable data cleansing",
940 "type": "boolean",
941 "description": "π‘ Keep/Save empty values <i><code>(NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)</code></i>"
942 }
943 }
944 },
945 "runsResponseSchema": {
946 "type": "object",
947 "properties": {
948 "data": {
949 "type": "object",
950 "properties": {
951 "id": {
952 "type": "string"
953 },
954 "actId": {
955 "type": "string"
956 },
957 "userId": {
958 "type": "string"
959 },
960 "startedAt": {
961 "type": "string",
962 "format": "date-time",
963 "example": "2025-01-08T00:00:00.000Z"
964 },
965 "finishedAt": {
966 "type": "string",
967 "format": "date-time",
968 "example": "2025-01-08T00:00:00.000Z"
969 },
970 "status": {
971 "type": "string",
972 "example": "READY"
973 },
974 "meta": {
975 "type": "object",
976 "properties": {
977 "origin": {
978 "type": "string",
979 "example": "API"
980 },
981 "userAgent": {
982 "type": "string"
983 }
984 }
985 },
986 "stats": {
987 "type": "object",
988 "properties": {
989 "inputBodyLen": {
990 "type": "integer",
991 "example": 2000
992 },
993 "rebootCount": {
994 "type": "integer",
995 "example": 0
996 },
997 "restartCount": {
998 "type": "integer",
999 "example": 0
1000 },
1001 "resurrectCount": {
1002 "type": "integer",
1003 "example": 0
1004 },
1005 "computeUnits": {
1006 "type": "integer",
1007 "example": 0
1008 }
1009 }
1010 },
1011 "options": {
1012 "type": "object",
1013 "properties": {
1014 "build": {
1015 "type": "string",
1016 "example": "latest"
1017 },
1018 "timeoutSecs": {
1019 "type": "integer",
1020 "example": 300
1021 },
1022 "memoryMbytes": {
1023 "type": "integer",
1024 "example": 1024
1025 },
1026 "diskMbytes": {
1027 "type": "integer",
1028 "example": 2048
1029 }
1030 }
1031 },
1032 "buildId": {
1033 "type": "string"
1034 },
1035 "defaultKeyValueStoreId": {
1036 "type": "string"
1037 },
1038 "defaultDatasetId": {
1039 "type": "string"
1040 },
1041 "defaultRequestQueueId": {
1042 "type": "string"
1043 },
1044 "buildNumber": {
1045 "type": "string",
1046 "example": "1.0.0"
1047 },
1048 "containerUrl": {
1049 "type": "string"
1050 },
1051 "usage": {
1052 "type": "object",
1053 "properties": {
1054 "ACTOR_COMPUTE_UNITS": {
1055 "type": "integer",
1056 "example": 0
1057 },
1058 "DATASET_READS": {
1059 "type": "integer",
1060 "example": 0
1061 },
1062 "DATASET_WRITES": {
1063 "type": "integer",
1064 "example": 0
1065 },
1066 "KEY_VALUE_STORE_READS": {
1067 "type": "integer",
1068 "example": 0
1069 },
1070 "KEY_VALUE_STORE_WRITES": {
1071 "type": "integer",
1072 "example": 1
1073 },
1074 "KEY_VALUE_STORE_LISTS": {
1075 "type": "integer",
1076 "example": 0
1077 },
1078 "REQUEST_QUEUE_READS": {
1079 "type": "integer",
1080 "example": 0
1081 },
1082 "REQUEST_QUEUE_WRITES": {
1083 "type": "integer",
1084 "example": 0
1085 },
1086 "DATA_TRANSFER_INTERNAL_GBYTES": {
1087 "type": "integer",
1088 "example": 0
1089 },
1090 "DATA_TRANSFER_EXTERNAL_GBYTES": {
1091 "type": "integer",
1092 "example": 0
1093 },
1094 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
1095 "type": "integer",
1096 "example": 0
1097 },
1098 "PROXY_SERPS": {
1099 "type": "integer",
1100 "example": 0
1101 }
1102 }
1103 },
1104 "usageTotalUsd": {
1105 "type": "number",
1106 "example": 0.00005
1107 },
1108 "usageUsd": {
1109 "type": "object",
1110 "properties": {
1111 "ACTOR_COMPUTE_UNITS": {
1112 "type": "integer",
1113 "example": 0
1114 },
1115 "DATASET_READS": {
1116 "type": "integer",
1117 "example": 0
1118 },
1119 "DATASET_WRITES": {
1120 "type": "integer",
1121 "example": 0
1122 },
1123 "KEY_VALUE_STORE_READS": {
1124 "type": "integer",
1125 "example": 0
1126 },
1127 "KEY_VALUE_STORE_WRITES": {
1128 "type": "number",
1129 "example": 0.00005
1130 },
1131 "KEY_VALUE_STORE_LISTS": {
1132 "type": "integer",
1133 "example": 0
1134 },
1135 "REQUEST_QUEUE_READS": {
1136 "type": "integer",
1137 "example": 0
1138 },
1139 "REQUEST_QUEUE_WRITES": {
1140 "type": "integer",
1141 "example": 0
1142 },
1143 "DATA_TRANSFER_INTERNAL_GBYTES": {
1144 "type": "integer",
1145 "example": 0
1146 },
1147 "DATA_TRANSFER_EXTERNAL_GBYTES": {
1148 "type": "integer",
1149 "example": 0
1150 },
1151 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
1152 "type": "integer",
1153 "example": 0
1154 },
1155 "PROXY_SERPS": {
1156 "type": "integer",
1157 "example": 0
1158 }
1159 }
1160 }
1161 }
1162 }
1163 }
1164 }
1165 }
1166 }
1167}The Naukri Navigator: Charting Your Career Journey 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 The Naukri Navigator: Charting Your Career Journey from the options below:
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