Naukri Job Scraper
Try for free
Pay $0.99 for 1,000 jobs
Go to Store
Naukri Job Scraper
muhammetakkurtt/naukri-job-scraper
Try for free
Pay $0.99 for 1,000 jobs
Naukri Job Scraper is an actor that automatically scrapes job postings from Naukri.com. It scrapes details such as job title, company name, experience and salary based on the specified keyword and maximum number of jobs. The collected data can be used for recruitment analysis and market research.
You can access the Naukri Job Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "LKmKlhBfKzZL5tgj0"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/muhammetakkurtt~naukri-job-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-muhammetakkurtt-naukri-job-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/muhammetakkurtt~naukri-job-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-muhammetakkurtt-naukri-job-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/muhammetakkurtt~naukri-job-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-muhammetakkurtt-naukri-job-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 "required": [
134 "keyword",
135 "maxJobs"
136 ],
137 "properties": {
138 "keyword": {
139 "title": "Search Term",
140 "type": "string",
141 "description": "The keyword to be used for searching job listings",
142 "default": "software developer"
143 },
144 "maxJobs": {
145 "title": "Maximum Number of Job Listings",
146 "minimum": 1,
147 "type": "integer",
148 "description": "The maximum number of job listings to scrape",
149 "default": 100
150 },
151 "freshness": {
152 "title": "Job Freshness",
153 "enum": [
154 "all",
155 "30",
156 "15",
157 "7",
158 "3",
159 "1"
160 ],
161 "type": "string",
162 "description": "Filter jobs by posting date",
163 "default": "all"
164 },
165 "sortBy": {
166 "title": "Sort By",
167 "enum": [
168 "relevance",
169 "date"
170 ],
171 "type": "string",
172 "description": "Sort job listings by relevance or date (optional)",
173 "default": "relevance"
174 },
175 "experience": {
176 "title": "Experience (Years)",
177 "enum": [
178 "all",
179 "0",
180 "1",
181 "2",
182 "3",
183 "4",
184 "5",
185 "6",
186 "7",
187 "8",
188 "9",
189 "10",
190 "11",
191 "12",
192 "13",
193 "14",
194 "15",
195 "16",
196 "17",
197 "18",
198 "19",
199 "20",
200 "21",
201 "22",
202 "23",
203 "24",
204 "25",
205 "26",
206 "27",
207 "28",
208 "29",
209 "30"
210 ],
211 "type": "string",
212 "description": "Required years of experience (optional)",
213 "default": "all"
214 },
215 "workMode": {
216 "title": "Work Mode",
217 "uniqueItems": true,
218 "type": "array",
219 "description": "Work mode for the job (multiple selection possible)",
220 "items": {
221 "type": "string",
222 "enum": [
223 "office",
224 "temporary_wfh",
225 "remote",
226 "hybrid"
227 ],
228 "enumTitles": [
229 "Work from Office",
230 "Temporary WFH",
231 "Remote",
232 "Hybrid"
233 ]
234 }
235 },
236 "cities": {
237 "title": "Location",
238 "uniqueItems": true,
239 "type": "array",
240 "description": "Cities to filter jobs (multiple selection possible)",
241 "items": {
242 "type": "string",
243 "enum": [
244 "17",
245 "97",
246 "562",
247 "354",
248 "325",
249 "187",
250 "9508",
251 "139",
252 "183",
253 "9509",
254 "134",
255 "6",
256 "232",
257 "220",
258 "73",
259 "51",
260 "184",
261 "173",
262 "125",
263 "64",
264 "110",
265 "167",
266 "120",
267 "136",
268 "65",
269 "138",
270 "4",
271 "26",
272 "106",
273 "194",
274 "137",
275 "188",
276 "323",
277 "135",
278 "216",
279 "72",
280 "155",
281 "6108",
282 "9044",
283 "43",
284 "213",
285 "295",
286 "215",
287 "228",
288 "499",
289 "208",
290 "217",
291 "210",
292 "33",
293 "350",
294 "123",
295 "219",
296 "38",
297 "1918",
298 "272",
299 "6113",
300 "3493",
301 "244",
302 "247",
303 "505",
304 "63",
305 "442",
306 "58",
307 "221",
308 "162",
309 "9029",
310 "165",
311 "166",
312 "361",
313 "9009",
314 "9005",
315 "9001",
316 "9033",
317 "25",
318 "22",
319 "19"
320 ],
321 "enumTitles": [
322 "Hyderabad",
323 "Bengaluru",
324 "Qutubullapur",
325 "Rangareddy",
326 "Tumkur",
327 "Hosur",
328 "Delhi / NCR",
329 "Pune",
330 "Chennai",
331 "Mumbai (All Areas)",
332 "Mumbai",
333 "New Delhi",
334 "Kolkata",
335 "Noida",
336 "Gurugram",
337 "Ahmedabad",
338 "Coimbatore",
339 "Jaipur",
340 "Indore",
341 "Surat",
342 "Kochi",
343 "Mohali",
344 "Thiruvananthapuram",
345 "Nagpur",
346 "Vadodara",
347 "Navi Mumbai",
348 "Chandigarh",
349 "Visakhapatnam",
350 "Mysuru",
351 "Tiruchirapalli",
352 "Nashik",
353 "Madurai",
354 "Thane",
355 "Mumbai Suburban",
356 "Lucknow",
357 "Faridabad",
358 "Bhubaneswar",
359 "Bangalore Rural",
360 "United States (USA)",
361 "Raipur",
362 "Ghaziabad",
363 "Manesar",
364 "Kanpur",
365 "Asansol",
366 "Bhiwandi",
367 "Agra",
368 "Mathura",
369 "Prayagraj",
370 "Guwahati",
371 "Greater Noida",
372 "Bhopal",
373 "Moradabad",
374 "Patna",
375 "Supaul",
376 "Gaya",
377 "Pimpri-Chinchwad",
378 "Chikhli",
379 "Malappuram",
380 "Raigarh",
381 "Dombivli",
382 "Rajkot",
383 "Morvi",
384 "Gandhinagar",
385 "Varanasi",
386 "Amritsar",
387 "Pakistan",
388 "Jalandhar",
389 "Ludhiana",
390 "Vizianagaram",
391 "Germany",
392 "Canada",
393 "Australia",
394 "Saudi Arabia",
395 "Vijayawada",
396 "Rajahmundry",
397 "Kurnool"
398 ]
399 }
400 },
401 "salaryRange": {
402 "title": "Salary Range",
403 "uniqueItems": true,
404 "type": "array",
405 "description": "Salary range for the job (multiple selection possible)",
406 "items": {
407 "type": "string",
408 "enum": [
409 "0to3",
410 "3to6",
411 "6to10",
412 "10to15",
413 "15to25",
414 "25to50",
415 "50to75",
416 "75to100",
417 "100to500",
418 "501"
419 ],
420 "enumTitles": [
421 "0-3 Lakhs",
422 "3-6 Lakhs",
423 "6-10 Lakhs",
424 "10-15 Lakhs",
425 "15-25 Lakhs",
426 "25-50 Lakhs",
427 "50-75 Lakhs",
428 "75-100 Lakhs",
429 "1-5 Cr",
430 "5+ Cr"
431 ]
432 }
433 },
434 "companyType": {
435 "title": "Company Type",
436 "uniqueItems": true,
437 "type": "array",
438 "description": "Type of company (multiple selection possible)",
439 "items": {
440 "type": "string",
441 "enum": [
442 "213",
443 "211",
444 "217",
445 "62",
446 "63",
447 "215",
448 "60"
449 ],
450 "enumTitles": [
451 "Foreign MNC",
452 "Corporate",
453 "Indian MNC",
454 "Startup",
455 "Others",
456 "Govt/PSU",
457 "MNC"
458 ]
459 }
460 },
461 "roleCategory": {
462 "title": "Role Category",
463 "uniqueItems": true,
464 "type": "array",
465 "description": "Job role category (multiple selection possible)",
466 "items": {
467 "type": "string",
468 "enum": [
469 "1028",
470 "1067",
471 "1065",
472 "1027",
473 "1066",
474 "1029",
475 "1025",
476 "1167",
477 "1072",
478 "1016",
479 "1018",
480 "1054",
481 "1022",
482 "1050",
483 "1056",
484 "1080",
485 "1048",
486 "1082",
487 "1031",
488 "1108",
489 "1039",
490 "1165",
491 "1013",
492 "1073",
493 "1019",
494 "1017",
495 "1026",
496 "1038",
497 "1085",
498 "1005",
499 "1061",
500 "1001",
501 "1043",
502 "1044",
503 "1012",
504 "1042",
505 "1132",
506 "1068",
507 "1011",
508 "1136",
509 "1060",
510 "1069",
511 "1164",
512 "1002",
513 "1133",
514 "1063",
515 "1021",
516 "1034",
517 "1046",
518 "1160",
519 "1047",
520 "1071",
521 "1004",
522 "1083",
523 "1010",
524 "1159",
525 "1033",
526 "1014",
527 "1006",
528 "1041",
529 "1137",
530 "1074",
531 "1057",
532 "1030",
533 "1062",
534 "1111",
535 "1053",
536 "1084",
537 "1058",
538 "1009",
539 "1052",
540 "1109",
541 "1113",
542 "1055",
543 "1045",
544 "1138",
545 "1064",
546 "1020",
547 "1116",
548 "1105",
549 "1166",
550 "1102",
551 "1110",
552 "1134",
553 "1117",
554 "1112",
555 "1015",
556 "1003",
557 "1036",
558 "1103",
559 "1129",
560 "1008",
561 "1144",
562 "1114",
563 "1088",
564 "1157",
565 "1161",
566 "1035",
567 "1051",
568 "1086",
569 "1163",
570 "1131",
571 "1128",
572 "1162",
573 "1023",
574 "1106",
575 "1070",
576 "1032",
577 "1156",
578 "1099",
579 "1104",
580 "1049",
581 "1100",
582 "1145",
583 "1121",
584 "1081",
585 "1127",
586 "1098",
587 "1107",
588 "1024",
589 "1037",
590 "1148",
591 "1152",
592 "1158",
593 "1139",
594 "1135",
595 "1101",
596 "1143",
597 "1119",
598 "1089",
599 "1151",
600 "1126",
601 "1087",
602 "1142",
603 "1118",
604 "1077",
605 "1140",
606 "1040",
607 "1123",
608 "1125",
609 "1090",
610 "1078",
611 "1146",
612 "1130",
613 "1149",
614 "1007",
615 "1120",
616 "1075",
617 "1093",
618 "1076",
619 "1150",
620 "1079",
621 "1154",
622 "1147",
623 "1094",
624 "1097",
625 "1095",
626 "1115",
627 "1124",
628 "1096",
629 "1155",
630 "1091",
631 "1122",
632 "1153"
633 ],
634 "enumTitles": [
635 "Software Development",
636 "Retail & B2C Sales",
637 "BD / Pre Sales",
638 "Quality Assurance and Testing",
639 "Enterprise & B2B Sales",
640 "Accounting & Taxation",
641 "DBA / Data warehousing",
642 "Other",
643 "Other Design",
644 "Voice / Blended",
645 "Business Intelligence & Analytics",
646 "Engineering",
647 "IT Network",
648 "Marketing",
649 "Operations, Maintenance & Support",
650 "Construction Engineering",
651 "Digital Marketing",
652 "IT Consulting",
653 "Finance",
654 "Doctor",
655 "Recruitment & Talent Acquisition",
656 "University Level Educator",
657 "Operations",
658 "Administration",
659 "Data Science & Machine Learning",
660 "Customer Success, Service & Operations - Other",
661 "DevOps",
662 "HR Operations",
663 "Content Management (Print / Online / Electronic)",
664 "Life Insurance",
665 "Other Program / Project Management",
666 "Banking Operations",
667 "IT Security",
668 "IT Support",
669 "Non Voice",
670 "IT Infrastructure Services",
671 "Procurement & Purchase",
672 "Sales Support & Operations",
673 "Customer Success",
674 "Engineering & Manufacturing",
675 "Technology / IT",
676 "Architecture & Interior Design",
677 "Subject / Specialization Teacher",
678 "General Insurance",
679 "SCM & Logistics",
680 "Production & Manufacturing",
681 "Hardware",
682 "Finance & Accounting - Other",
683 "Advertising & Creative",
684 "Corporate Training",
685 "Corporate Communication",
686 "UI / UX",
687 "Lending",
688 "Management Consulting",
689 "Back Office",
690 "Administration & Staff",
691 "Treasury",
692 "Operations Support",
693 "Trading, Asset & Wealth Management",
694 "Human Resources - Other",
695 "Pharmaceutical & Biotechnology",
696 "Facility Management",
697 "Production & Manufacturing - Other",
698 "Audit & Control",
699 "Business Process Quality",
700 "Nursing",
701 "Product Management - Other",
702 "Other Consulting",
703 "Construction / Manufacturing",
704 "After Sales Service & Repair",
705 "Product Management - Technology",
706 "Health Informatics",
707 "Other Hospital Staff",
708 "Management",
709 "IT & Information Security - Other",
710 "Research & Development - Other",
711 "Quality Assurance - Other",
712 "Data Science & Analytics - Other",
713 "Legal Operations",
714 "Kitchen / F&B Production",
715 "Teaching & Training - Other",
716 "F&B Service",
717 "Imaging & Diagnostics",
718 "Stores & Material Management",
719 "Legal & Regulatory - Other",
720 "Healthcare & Life Sciences - Other",
721 "Service Delivery",
722 "Investment Banking, Private Equity & VC",
723 "Employee Relations",
724 "Front Office & Guest Services",
725 "Retail Store Operations",
726 "BFSI, Investments & Trading - Other",
727 "Risk Management & Compliance - Other",
728 "Corporate Affairs",
729 "Content, Editorial & Journalism - Other",
730 "Top Management",
731 "Language Teacher",
732 "Compensation & Benefits",
733 "Marketing and Communication - Other",
734 "Editing (Print / Online / Electronic)",
735 "Preschool & Primary Education",
736 "Import & Export",
737 "Merchandising & Planning",
738 "Life Skills / ECA Teacher",
739 "Telecom",
740 "Tourism Services",
741 "Fashion & Accessories",
742 "Payroll & Transactions",
743 "Strategic Management",
744 "Occupational Health & Safety",
745 "Housekeeping & Laundry",
746 "Market Research & Insights",
747 "Environment Health and Safety - Other",
748 "Security Officer",
749 "Editing",
750 "Surveying",
751 "eCommerce Operations",
752 "Community Health & Safety",
753 "Food, Beverage & Hospitality - Other",
754 "Hardware and Networks - Other",
755 "HR Business Advisory",
756 "Shipping Deck",
757 "Health & Fitness",
758 "Strategic & Top Management - Other",
759 "Assessment / Advisory",
760 "Procurement & Supply Chain - Other",
761 "Events & Banquet",
762 "Security / Fraud",
763 "Artists",
764 "CSR & Sustainability",
765 "Beauty & Personal Care",
766 "Category Management & Operations",
767 "Journalism",
768 "Operations / Strategy",
769 "Animation / Effects",
770 "Flight & Airport Operations",
771 "Business",
772 "Recruitment Marketing & Branding",
773 "Production",
774 "Media Production & Entertainment - Other",
775 "Social & Public Service",
776 "Pilot",
777 "Security Services - Other",
778 "Merchandising, Retail & eCommerce - Other",
779 "Shipping Engineering & Technical",
780 "Treasury & Forex",
781 "Direction",
782 "Airline Services",
783 "Mining",
784 "Aviation Engineering",
785 "Shipping & Maritime - Other",
786 "Aviation & Aerospace - Other",
787 "Sports Staff and Management",
788 "Port & Maritime Operations",
789 "Power Generation",
790 "Energy & Mining - Other",
791 "Power Supply and Distribution",
792 "Crime / Arbitration",
793 "Sound / Light / Technical Support",
794 "Upstream",
795 "Sports, Fitness & Personal Care - Other",
796 "Downstream",
797 "Make Up / Costume",
798 "Sports Science & Medicine"
799 ]
800 }
801 },
802 "stipend": {
803 "title": "Stipend",
804 "uniqueItems": true,
805 "type": "array",
806 "description": "Internship stipend range (multiple selection possible)",
807 "items": {
808 "type": "string",
809 "enum": [
810 "unpaid",
811 "0To10",
812 "10To20",
813 "20To30",
814 "30To40",
815 "40To50",
816 "50To1"
817 ],
818 "enumTitles": [
819 "Unpaid",
820 "0-10k",
821 "10k-20k",
822 "20k-30k",
823 "30k-40k",
824 "40k-50k",
825 "50k and above"
826 ]
827 }
828 },
829 "duration": {
830 "title": "Internship Duration",
831 "uniqueItems": true,
832 "type": "array",
833 "description": "Duration of internship (multiple selection possible)",
834 "items": {
835 "type": "string",
836 "enum": [
837 "1",
838 "2",
839 "3",
840 "4",
841 "5",
842 "6",
843 "-1"
844 ],
845 "enumTitles": [
846 "1 Month",
847 "2 Months",
848 "3 Months",
849 "4 Months",
850 "5 Months",
851 "6 Months",
852 "Flexible"
853 ]
854 }
855 },
856 "ugCourse": {
857 "title": "UG Course",
858 "uniqueItems": true,
859 "type": "array",
860 "description": "Undergraduate course requirement (multiple selection possible)",
861 "items": {
862 "type": "string",
863 "enum": [
864 "18",
865 "11",
866 "14",
867 "10",
868 "17",
869 "5",
870 "3",
871 "4",
872 "1",
873 "13",
874 "6",
875 "9",
876 "12",
877 "2",
878 "8",
879 "16",
880 "7",
881 "36",
882 "40",
883 "35",
884 "41",
885 "42",
886 "15",
887 "37",
888 "38"
889 ],
890 "enumTitles": [
891 "Any Graduate",
892 "B.Tech/B.E.",
893 "Diploma",
894 "B.Sc",
895 "Graduation Not Required",
896 "B.Com",
897 "BCA",
898 "B.B.A / B.M.S",
899 "B.A",
900 "MBBS",
901 "B.Ed",
902 "B.Pharma",
903 "LLB",
904 "B.Arch",
905 "BHM",
906 "Other Graduate",
907 "BDS",
908 "BHMS",
909 "B.Des.",
910 "BAMS",
911 "BFA",
912 "B.U.M.S",
913 "BVSC",
914 "B.El.Ed",
915 "B.P.Ed"
916 ]
917 }
918 },
919 "pgCourse": {
920 "title": "PG Course",
921 "uniqueItems": true,
922 "type": "array",
923 "description": "Postgraduate course requirement (multiple selection possible)",
924 "items": {
925 "type": "string",
926 "enum": [
927 "19",
928 "20",
929 "13",
930 "12",
931 "14",
932 "1",
933 "11",
934 "8",
935 "15",
936 "16",
937 "10",
938 "6",
939 "5",
940 "3",
941 "9",
942 "2",
943 "18",
944 "37",
945 "7",
946 "4",
947 "38",
948 "36",
949 "34",
950 "17",
951 "35"
952 ],
953 "enumTitles": [
954 "Any Postgraduate",
955 "Post Graduation Not Required",
956 "MBA/PGDM",
957 "M.Tech",
958 "MCA",
959 "CA",
960 "MS/M.Sc(Science)",
961 "M.Com",
962 "Medical-MS/MD",
963 "PG Diploma",
964 "M.Pharma",
965 "M.A",
966 "LLM",
967 "ICWA (CMA)",
968 "M.Ed",
969 "CS",
970 "Other",
971 "DM",
972 "M.Arch",
973 "Integrated PG",
974 "M.Ch",
975 "M.Des.",
976 "MDS",
977 "MVSC",
978 "MFA"
979 ]
980 }
981 },
982 "postedBy": {
983 "title": "Posted By",
984 "uniqueItems": true,
985 "type": "array",
986 "description": "Job posted by (multiple selection possible)",
987 "items": {
988 "type": "string",
989 "enum": [
990 "1",
991 "2"
992 ],
993 "enumTitles": [
994 "Company Jobs",
995 "Consultant Jobs"
996 ]
997 }
998 },
999 "industry": {
1000 "title": "Industry",
1001 "uniqueItems": true,
1002 "type": "array",
1003 "description": "Industry type (multiple selection possible)",
1004 "items": {
1005 "type": "string",
1006 "enum": [
1007 "25",
1008 "14",
1009 "34",
1010 "26",
1011 "7",
1012 "12",
1013 "20",
1014 "22",
1015 "32",
1016 "17",
1017 "52",
1018 "16",
1019 "4",
1020 "39",
1021 "63",
1022 "2",
1023 "28",
1024 "23",
1025 "27",
1026 "8",
1027 "48",
1028 "19",
1029 "6",
1030 "9",
1031 "18",
1032 "24",
1033 "29",
1034 "67",
1035 "37",
1036 "30",
1037 "3",
1038 "10",
1039 "59",
1040 "53",
1041 "57",
1042 "15",
1043 "58",
1044 "21",
1045 "46",
1046 "56",
1047 "35",
1048 "55",
1049 "47",
1050 "38",
1051 "36",
1052 "54",
1053 "33",
1054 "42",
1055 "65",
1056 "44",
1057 "40",
1058 "13",
1059 "51",
1060 "41",
1061 "43",
1062 "66",
1063 "61",
1064 "60",
1065 "50"
1066 ],
1067 "enumTitles": [
1068 "IT-Software, Software Services",
1069 "Banking, Financial Services, Broking",
1070 "Recruitment, Staffing",
1071 "Education, Teaching, Training",
1072 "BPO, Call Centre, ITeS",
1073 "Construction, Engineering, Cement, Metals",
1074 "Medical, Healthcare, Hospitals",
1075 "Pharma, Biotech, Clinical Research",
1076 "Advertising, PR, MR, Event Management",
1077 "Insurance",
1078 "Strategy, Management Consulting Firms",
1079 "Industrial Products, Heavy Machinery",
1080 "Automobile, Auto Anciliary, Auto Components",
1081 "Real Estate, Property",
1082 "Internet, Ecommerce",
1083 "Travel, Hotels, Restaurants, Airlines, Railways",
1084 "Semiconductors, Electronics",
1085 "Oil and Gas, Energy, Power, Infrastructure",
1086 "Telcom, ISP",
1087 "Accounting, Finance",
1088 "KPO, Research, Analytics",
1089 "Media, Entertainment, Internet",
1090 "Chemicals, PetroChemical, Plastic, Rubber",
1091 "FMCG, Foods, Beverage",
1092 "Courier, Transportation, Freight, Warehousing",
1093 "Retail, Wholesale",
1094 "Other",
1095 "Medical Devices / Equipments",
1096 "NGO, Social Services, Regulators, Industry Associations",
1097 "Architecture, Interior Design",
1098 "Textiles, Garments, Accessories",
1099 "Consumer Electronics, Appliances, Durables",
1100 "Wellness, Fitness, Sports, Beauty",
1101 "Iron and Steel",
1102 "Food Processing",
1103 "IT-Hardware & Networking",
1104 "Publishing",
1105 "Office Equipment, Automation",
1106 "Aviation, Aerospace, Aeronautical",
1107 "Animation, Gaming",
1108 "Gems, Jewellery",
1109 "Electricals, Switchgears",
1110 "Facility Management",
1111 "Printing, Packaging",
1112 "Legal",
1113 "Mining, Quarrying",
1114 "Agriculture, Dairy",
1115 "Government, Defence",
1116 "Broadcasting",
1117 "Shipping, Marine",
1118 "Security, Law Enforcement",
1119 "Export, Import",
1120 "Water Treatment, Waste Management",
1121 "Fertilizers, Pesticides",
1122 "Pulp and Paper",
1123 "Leather",
1124 "Heat Ventilation, Air Conditioning",
1125 "Ceramics, Sanitary ware",
1126 "Brewery, Distillery"
1127 ]
1128 }
1129 },
1130 "topCompanies": {
1131 "title": "Top Companies",
1132 "uniqueItems": true,
1133 "type": "array",
1134 "description": "Top companies to filter jobs (multiple selection possible)",
1135 "items": {
1136 "type": "string",
1137 "enum": [
1138 "10476",
1139 "8483161",
1140 "2095704",
1141 "243080",
1142 "19288",
1143 "42932",
1144 "4156",
1145 "172058",
1146 "1288",
1147 "31824",
1148 "13832",
1149 "1186200",
1150 "242004",
1151 "41608",
1152 "240936",
1153 "4619011",
1154 "1422",
1155 "293492",
1156 "219806",
1157 "468918",
1158 "2114",
1159 "340662",
1160 "82242",
1161 "109516",
1162 "230364",
1163 "12466",
1164 "20302",
1165 "231614",
1166 "215164",
1167 "4628367",
1168 "249438",
1169 "232840",
1170 "448420",
1171 "20738",
1172 "257614",
1173 "32270",
1174 "775108",
1175 "2373670",
1176 "740642",
1177 "434716",
1178 "675406",
1179 "235536",
1180 "132460",
1181 "36136",
1182 "124792",
1183 "2100706",
1184 "4669175",
1185 "882188",
1186 "181534",
1187 "75906",
1188 "1013592",
1189 "4582149",
1190 "530892",
1191 "481500",
1192 "516156",
1193 "2266378",
1194 "154040",
1195 "18850",
1196 "194354",
1197 "2532494",
1198 "23318",
1199 "125596",
1200 "126896",
1201 "67548",
1202 "214368",
1203 "224300",
1204 "241236",
1205 "1402790",
1206 "230842",
1207 "3835862",
1208 "44664",
1209 "2257208",
1210 "624892",
1211 "4703457",
1212 "508906",
1213 "4586641",
1214 "45204",
1215 "269320",
1216 "293284",
1217 "62866",
1218 "213378",
1219 "1030122",
1220 "228864",
1221 "148890",
1222 "175592",
1223 "4622851",
1224 "533532",
1225 "4902267",
1226 "4753905",
1227 "15932",
1228 "164080",
1229 "51540",
1230 "19656",
1231 "4598457",
1232 "320980",
1233 "24010",
1234 "24912",
1235 "4128030",
1236 "4660",
1237 "1605088",
1238 "31584",
1239 "233026",
1240 "3739708",
1241 "15184",
1242 "4659697",
1243 "233334",
1244 "430014",
1245 "12356",
1246 "682834",
1247 "414568",
1248 "156574",
1249 "387078",
1250 "1944034",
1251 "360296",
1252 "4602035",
1253 "548100",
1254 "16486",
1255 "241132",
1256 "233806",
1257 "356782",
1258 "419316",
1259 "690506",
1260 "1285014",
1261 "2472988",
1262 "509622",
1263 "6104",
1264 "1180806",
1265 "1547726",
1266 "4627297",
1267 "4585477",
1268 "2500",
1269 "533786",
1270 "7519247",
1271 "533010",
1272 "530898",
1273 "1041576",
1274 "236044",
1275 "8268",
1276 "191386",
1277 "246024",
1278 "4657113",
1279 "587312",
1280 "95822",
1281 "1572350",
1282 "364014",
1283 "42452",
1284 "685212",
1285 "218544",
1286 "2519816",
1287 "438726",
1288 "1574056",
1289 "144830",
1290 "3191404",
1291 "1240",
1292 "289444",
1293 "4579521",
1294 "1100688",
1295 "4657369",
1296 "7700",
1297 "1054212",
1298 "267778",
1299 "44328",
1300 "601264",
1301 "4618647",
1302 "1715696",
1303 "26078",
1304 "312332",
1305 "4070",
1306 "355618",
1307 "1595582",
1308 "4585281",
1309 "13254",
1310 "258876",
1311 "4589679",
1312 "1482768",
1313 "376150",
1314 "583728",
1315 "599384",
1316 "896922",
1317 "10472",
1318 "1582052",
1319 "23730",
1320 "38370",
1321 "20810",
1322 "22056",
1323 "291830",
1324 "454860",
1325 "4609355",
1326 "4655735",
1327 "218336",
1328 "161414",
1329 "1927640",
1330 "2491718",
1331 "291442",
1332 "633176",
1333 "106364",
1334 "1686428",
1335 "644370",
1336 "671658",
1337 "185112",
1338 "197174",
1339 "2041470",
1340 "216316",
1341 "3088508",
1342 "3411776",
1343 "79172",
1344 "1813342",
1345 "4577127",
1346 "4623263",
1347 "1098476",
1348 "218754",
1349 "233602",
1350 "315118",
1351 "5283794",
1352 "967844",
1353 "565512",
1354 "1114162",
1355 "166008",
1356 "319042",
1357 "39494",
1358 "4817773",
1359 "647744",
1360 "1169112",
1361 "4592441",
1362 "478706",
1363 "1716616",
1364 "274470",
1365 "4264",
1366 "4575777",
1367 "4656351",
1368 "57238",
1369 "1533350",
1370 "162630",
1371 "223522",
1372 "2736730",
1373 "54066",
1374 "10036880",
1375 "247350",
1376 "4808609",
1377 "144498",
1378 "256676",
1379 "4625997",
1380 "472972",
1381 "505300",
1382 "1050278",
1383 "1879652",
1384 "2530680",
1385 "993452",
1386 "176134",
1387 "219216",
1388 "3080116",
1389 "3208",
1390 "3594512",
1391 "4599757",
1392 "4655807",
1393 "135342",
1394 "224154",
1395 "4036",
1396 "658668",
1397 "1383834",
1398 "1493572",
1399 "186254",
1400 "4622859",
1401 "472468",
1402 "36692",
1403 "384072",
1404 "390292",
1405 "45716",
1406 "537232",
1407 "626544",
1408 "78944",
1409 "944",
1410 "2272328",
1411 "1699426",
1412 "1715830",
1413 "316080",
1414 "4655767",
1415 "4658179",
1416 "7001747",
1417 "1503284",
1418 "2095944",
1419 "2096486",
1420 "392462",
1421 "4595261",
1422 "4624627",
1423 "508530",
1424 "597394",
1425 "1034438",
1426 "2338674",
1427 "2765280",
1428 "3575534",
1429 "36228",
1430 "384174",
1431 "925074",
1432 "1078056",
1433 "11196",
1434 "218202",
1435 "222216",
1436 "240812",
1437 "306162",
1438 "3164536",
1439 "57716",
1440 "10846",
1441 "1678192",
1442 "2016966",
1443 "2827660",
1444 "2978732",
1445 "3338858",
1446 "426336",
1447 "45216",
1448 "4597423",
1449 "4599397",
1450 "58058",
1451 "652610",
1452 "777494",
1453 "250496",
1454 "4579285",
1455 "6758557",
1456 "9586",
1457 "1931748",
1458 "3730762",
1459 "4191006",
1460 "4602181",
1461 "508922",
1462 "523882",
1463 "54740",
1464 "86854",
1465 "1080964",
1466 "240022",
1467 "275638",
1468 "3507502",
1469 "4579363",
1470 "4633393",
1471 "4655983",
1472 "4847169",
1473 "657646",
1474 "1146110",
1475 "156324",
1476 "39470",
1477 "531034",
1478 "56130",
1479 "936896",
1480 "966646",
1481 "134834",
1482 "231940",
1483 "2573308",
1484 "275530",
1485 "4583813",
1486 "4618611",
1487 "51716",
1488 "589866",
1489 "227652",
1490 "2401526",
1491 "284948",
1492 "373276",
1493 "4609233",
1494 "93292",
1495 "153102",
1496 "232576",
1497 "276124",
1498 "3341732",
1499 "4630969",
1500 "1012832",
1501 "307412",
1502 "314",
1503 "3248522",
1504 "3584",
1505 "374224",
1506 "385202",
1507 "4589591",
1508 "4656341",
1509 "498438",
1510 "5114",
1511 "1320206",
1512 "26216",
1513 "274508",
1514 "3197826",
1515 "32956",
1516 "4656239",
1517 "5856222",
1518 "692902",
1519 "1253476",
1520 "1265134",
1521 "131628",
1522 "2406",
1523 "2436002",
1524 "29798",
1525 "3832032",
1526 "4422258",
1527 "4580255",
1528 "525178",
1529 "220250",
1530 "233492",
1531 "245200",
1532 "408452",
1533 "4836631",
1534 "117136",
1535 "144042",
1536 "1524432",
1537 "1527726",
1538 "1544938",
1539 "1596468",
1540 "221908",
1541 "243134",
1542 "27742",
1543 "325440",
1544 "472974",
1545 "5942",
1546 "867470",
1547 "867498",
1548 "9558",
1549 "1211986",
1550 "429384",
1551 "4583185",
1552 "4628039",
1553 "4832633",
1554 "756028",
1555 "1027760",
1556 "1328044",
1557 "1422648",
1558 "2016162",
1559 "242",
1560 "388888",
1561 "4630219",
1562 "4656015",
1563 "4665485",
1564 "487074",
1565 "521230",
1566 "656918",
1567 "750172",
1568 "1350708",
1569 "1700418",
1570 "19674",
1571 "2078424",
1572 "223472",
1573 "374048",
1574 "4603807",
1575 "4608347",
1576 "4634985",
1577 "4664249",
1578 "487606",
1579 "5320",
1580 "88312",
1581 "240920",
1582 "28040",
1583 "3767692",
1584 "38298",
1585 "4096326",
1586 "410908",
1587 "429510",
1588 "4575629",
1589 "4638429",
1590 "4655747",
1591 "4659715",
1592 "556492",
1593 "183882",
1594 "214990",
1595 "215344",
1596 "2239486",
1597 "254826",
1598 "2601810",
1599 "285244",
1600 "2866966",
1601 "4590709",
1602 "4596177",
1603 "4596267",
1604 "4602135",
1605 "4655729",
1606 "658860",
1607 "748026",
1608 "86414",
1609 "1268772",
1610 "255614",
1611 "4264086",
1612 "447016",
1613 "4606203",
1614 "51062",
1615 "675066",
1616 "717262",
1617 "7335165",
1618 "957140",
1619 "1221608",
1620 "1293088",
1621 "162646",
1622 "1682760",
1623 "17044",
1624 "175668",
1625 "18362",
1626 "2071422",
1627 "241400",
1628 "24738",
1629 "250854",
1630 "253926",
1631 "366424",
1632 "382834",
1633 "3889408",
1634 "551938",
1635 "749064",
1636 "949664",
1637 "10004212",
1638 "1135398",
1639 "1519064",
1640 "233848",
1641 "2367964",
1642 "245560",
1643 "2969948",
1644 "3394708",
1645 "359414",
1646 "392358",
1647 "4557220",
1648 "4590385",
1649 "4593377",
1650 "4598407",
1651 "4961339",
1652 "67356",
1653 "687724",
1654 "8373937",
1655 "971696",
1656 "1084018",
1657 "121138",
1658 "150240",
1659 "2103674",
1660 "227722",
1661 "350128",
1662 "364216",
1663 "4582249",
1664 "4585307",
1665 "4615981",
1666 "4961323",
1667 "6067461",
1668 "629314",
1669 "70700",
1670 "1017274",
1671 "12076",
1672 "140040",
1673 "152694",
1674 "162176",
1675 "1699470",
1676 "1709192",
1677 "2330754",
1678 "23972",
1679 "2452262",
1680 "2588242",
1681 "25892",
1682 "279976",
1683 "298864",
1684 "301840",
1685 "38294",
1686 "391682",
1687 "45178",
1688 "4593269",
1689 "4611791",
1690 "4656277",
1691 "4964",
1692 "543142",
1693 "948108",
1694 "1003954",
1695 "1245684",
1696 "134850",
1697 "1571056",
1698 "179270",
1699 "1842",
1700 "1871354",
1701 "20526",
1702 "213138",
1703 "220334",
1704 "251604",
1705 "27158",
1706 "272388",
1707 "371592",
1708 "3816434",
1709 "4576663",
1710 "4589165",
1711 "4604773",
1712 "478960",
1713 "498434",
1714 "66176",
1715 "67060",
1716 "8886",
1717 "943918",
1718 "96866",
1719 "1492",
1720 "152280",
1721 "1587204",
1722 "19328",
1723 "2024178",
1724 "2193008",
1725 "2422044",
1726 "3319730",
1727 "440254",
1728 "4611495",
1729 "4620803",
1730 "4634229",
1731 "4702365",
1732 "52222",
1733 "6046859",
1734 "709704",
1735 "90224",
1736 "90670",
1737 "90808",
1738 "949064",
1739 "1127820",
1740 "115024",
1741 "1254260",
1742 "129476",
1743 "1388250",
1744 "1426254",
1745 "1940648",
1746 "218314",
1747 "235034",
1748 "259866",
1749 "285698",
1750 "2894436",
1751 "2948580",
1752 "3467010",
1753 "4583117",
1754 "4587285",
1755 "4640975",
1756 "4677077",
1757 "5568396",
1758 "717530",
1759 "725258",
1760 "732384",
1761 "747152",
1762 "8633905",
1763 "919640",
1764 "9481609",
1765 "952808",
1766 "972510",
1767 "1181436",
1768 "1609180",
1769 "179636",
1770 "20528",
1771 "21746",
1772 "2223730",
1773 "235020",
1774 "24628",
1775 "247446",
1776 "2945110",
1777 "31690",
1778 "33704",
1779 "3492",
1780 "395896",
1781 "4125264",
1782 "4310730",
1783 "4423242",
1784 "4472616",
1785 "4583297",
1786 "458958",
1787 "4610733",
1788 "4626117",
1789 "4636139",
1790 "47678",
1791 "5706194",
1792 "8765391",
1793 "95052",
1794 "127338",
1795 "1711838",
1796 "2384588",
1797 "238962",
1798 "244334",
1799 "287798",
1800 "307702",
1801 "371408",
1802 "3893954",
1803 "4266",
1804 "4583913",
1805 "4594137",
1806 "4614173",
1807 "4657501",
1808 "4658813",
1809 "467092",
1810 "509342",
1811 "62852",
1812 "71862",
1813 "735776",
1814 "7400",
1815 "7982",
1816 "9239375",
1817 "1042748",
1818 "10455000",
1819 "10481820",
1820 "1081022",
1821 "12532",
1822 "1360392",
1823 "142780",
1824 "1476538",
1825 "15416",
1826 "187098",
1827 "1873090",
1828 "219844",
1829 "2431448",
1830 "264828",
1831 "2766700",
1832 "2893828",
1833 "297496",
1834 "35688",
1835 "3656022",
1836 "395984",
1837 "4043792",
1838 "4539714",
1839 "4539902",
1840 "4600995",
1841 "4662133",
1842 "52806",
1843 "53626",
1844 "550568",
1845 "610912",
1846 "646230",
1847 "7647421",
1848 "8939023",
1849 "998566",
1850 "10627392",
1851 "1131456",
1852 "1181418",
1853 "1714962",
1854 "1849510",
1855 "2180904",
1856 "243408",
1857 "2787840",
1858 "3610",
1859 "363522",
1860 "4292882",
1861 "453102",
1862 "4586951",
1863 "4592537",
1864 "4601429",
1865 "4610215",
1866 "4612913",
1867 "4622119",
1868 "4626303",
1869 "4632625",
1870 "4633729",
1871 "4633731",
1872 "4638099",
1873 "463892",
1874 "47668",
1875 "558162",
1876 "59576",
1877 "5987884",
1878 "618896",
1879 "634194",
1880 "656904",
1881 "671604",
1882 "675642",
1883 "7698",
1884 "1015816",
1885 "1033534",
1886 "1059274",
1887 "1180698",
1888 "1364",
1889 "1488116",
1890 "1694498",
1891 "1844",
1892 "2192",
1893 "227530",
1894 "240334",
1895 "2457162",
1896 "2457236",
1897 "254378",
1898 "2576262",
1899 "3020858",
1900 "312838",
1901 "3761244",
1902 "386876",
1903 "435208",
1904 "4574895",
1905 "4580149",
1906 "4582559",
1907 "4585735",
1908 "4588069",
1909 "459478",
1910 "4599467",
1911 "4602589",
1912 "4615427",
1913 "4668557",
1914 "4676921",
1915 "502010",
1916 "559360",
1917 "572296",
1918 "6231135",
1919 "63194",
1920 "641374",
1921 "7450",
1922 "75400",
1923 "7788597",
1924 "791500",
1925 "869714",
1926 "912620",
1927 "931138",
1928 "9958",
1929 "100068",
1930 "1030616",
1931 "10507176",
1932 "1051566",
1933 "11319200",
1934 "1304924",
1935 "1308640",
1936 "1429290",
1937 "148176",
1938 "1625242",
1939 "173948",
1940 "20368",
1941 "2075946",
1942 "221862",
1943 "227608",
1944 "23222",
1945 "239266",
1946 "247012",
1947 "256728",
1948 "272282",
1949 "293878",
1950 "303816",
1951 "31890",
1952 "3408126",
1953 "3867866",
1954 "405864",
1955 "41240",
1956 "4574873",
1957 "4578219",
1958 "4579263",
1959 "4580025",
1960 "4581085",
1961 "4583589",
1962 "4588725",
1963 "4589141",
1964 "4593109",
1965 "4595791",
1966 "4599545",
1967 "4600543",
1968 "4603605",
1969 "4604153",
1970 "4611515",
1971 "4616873",
1972 "4630437",
1973 "4631515",
1974 "4632761",
1975 "4637905",
1976 "4656189",
1977 "4657503",
1978 "471394",
1979 "497402",
1980 "51130",
1981 "6338823",
1982 "6898765",
1983 "70726",
1984 "731696",
1985 "9210581",
1986 "9481557",
1987 "96768",
1988 "1068490",
1989 "11208",
1990 "1122782",
1991 "1166810",
1992 "1171326",
1993 "1301682",
1994 "1302864",
1995 "135762",
1996 "1401752",
1997 "1535428",
1998 "161518",
1999 "16578",
2000 "18384",
2001 "223346",
2002 "231184",
2003 "241908",
2004 "2505494",
2005 "262454",
2006 "263976",
2007 "271014",
2008 "289380",
2009 "306948",
2010 "31684",
2011 "3204490",
2012 "3323926",
2013 "3338926",
2014 "3341542",
2015 "340326",
2016 "3403976",
2017 "356616",
2018 "366920",
2019 "386732",
2020 "391320",
2021 "395194",
2022 "4049378",
2023 "4233030",
2024 "4279656",
2025 "4417032",
2026 "44512",
2027 "4543042",
2028 "4583121",
2029 "4587425",
2030 "4591733",
2031 "4599865",
2032 "4600373",
2033 "4600485",
2034 "4611567",
2035 "4612649",
2036 "4612909",
2037 "4614401",
2038 "4625265",
2039 "4628571",
2040 "4631119",
2041 "4639157",
2042 "4639733",
2043 "4641809",
2044 "4656287",
2045 "4656667",
2046 "4658357",
2047 "4665617",
2048 "4720039",
2049 "495928",
2050 "5239022",
2051 "565498",
2052 "59738",
2053 "619952",
2054 "644858",
2055 "66128",
2056 "6759079",
2057 "68924",
2058 "713444",
2059 "7170",
2060 "742218",
2061 "760234",
2062 "7742",
2063 "8165683",
2064 "8207275",
2065 "8241687",
2066 "8638461",
2067 "8898763",
2068 "968204",
2069 "99622",
2070 "998400"
2071 ],
2072 "enumTitles": [
2073 "Accenture",
2074 "Pricewaterhouse Coopers Service Delivery Center Kolkata",
2075 "Jio",
2076 "EY",
2077 "IBM",
2078 "Genpact",
2079 "Cognizant",
2080 "Tata Capital",
2081 "Capgemini",
2082 "KPMG India",
2083 "Infosys",
2084 "Virtusa",
2085 "Maruti Suzuki",
2086 "Wipro",
2087 "JPMorgan Chase Bank",
2088 "Photon",
2089 "Randstad",
2090 "BNY",
2091 "Birlasoft",
2092 "Deutsche Bank",
2093 "Tech Mahindra",
2094 "Crisil",
2095 "AMERICAN EXPRESS",
2096 "EXL",
2097 "Tata Communications",
2098 "Hexaware Technologies",
2099 "Schneider Electric",
2100 "Zensar",
2101 "Teleperformance (TP)",
2102 "Seven Seas Hospitality",
2103 "Microland",
2104 "SAP",
2105 "Synopsys",
2106 "IndiaMART",
2107 "Conneqt",
2108 "Standard Chartered",
2109 "Livspace",
2110 "Emerson",
2111 "Mercedes Benz",
2112 "Abbott",
2113 "Infinite",
2114 "Pepsico",
2115 "Future Generali",
2116 "Nokia",
2117 "Info Edge",
2118 "HARMAN",
2119 "Lavya Associates HR Services",
2120 "Nomura",
2121 "Advanced Micro Devices (AMD)",
2122 "Frankfinn",
2123 "ATT Communication Services",
2124 "Axis Finance (AFL)",
2125 "Goldman Sachs",
2126 "Zeta",
2127 "SLK Software",
2128 "MALABAR GOLD & DIAMONDS",
2129 "Adidas",
2130 "Oracle",
2131 "HCLTech",
2132 "Brunel",
2133 "Larsen & Toubro (L&T)",
2134 "Trigent Software",
2135 "Airtel",
2136 "Hdfc Bank",
2137 "Bechtel",
2138 "Sutherland",
2139 "Sun Pharma",
2140 "CGI",
2141 "Salesforce",
2142 "Persistent",
2143 "NCR Corporation",
2144 "Meesho",
2145 "Astrazeneca",
2146 "Tata AIG General Insurance Company",
2147 "NetApp",
2148 "Capco",
2149 "Mphasis",
2150 "Merck",
2151 "Verizon",
2152 "Berger Paints",
2153 "Hilton Hotels",
2154 "Cyient",
2155 "Morgan Stanley",
2156 "SBI Card",
2157 "Blue Yonder",
2158 "Razorpay",
2159 "Flipkart",
2160 "Dr Reddys",
2161 "Anand Rathi Insurance Brokers (ARIBL)",
2162 "Cummins",
2163 "Hsbc",
2164 "ICICI Lombard",
2165 "Infogain",
2166 "Godrej Industries",
2167 "Sodexo",
2168 "Tesco",
2169 "Target",
2170 "Taskus",
2171 "Cadence",
2172 "Myntra",
2173 "Aakash Educational Services (AESL)",
2174 "Unisys",
2175 "ION",
2176 "Kotak Mahindra Bank",
2177 "Equiniti India",
2178 "Coforge",
2179 "Quest Global",
2180 "Lupin",
2181 "Citiustech",
2182 "Lodha Group",
2183 "Paypal",
2184 "Newt Global",
2185 "Postman",
2186 "Globallogic",
2187 "ITC Infotech",
2188 "Broadridge",
2189 "Apollo Hospitals",
2190 "Hewlett-Packard",
2191 "Satven",
2192 "Qualcomm",
2193 "Synechron",
2194 "Autodesk",
2195 "Swiggy",
2196 "Conduent",
2197 "Delhivery",
2198 "Kotak Life Insurance",
2199 "ICON plc",
2200 "DMart",
2201 "Western Digital",
2202 "Caterpillar Inc",
2203 "THERMAX",
2204 "HDB Financial Services",
2205 "Ltimindtree",
2206 "Fortis",
2207 "IGT Solutions",
2208 "Home Credit",
2209 "Cybage",
2210 "Flex",
2211 "Infosys BPM",
2212 "Tata Technologies",
2213 "Siemens Energy",
2214 "Infineon",
2215 "Max Healthcare",
2216 "Motilal Oswal Financial Services (MOFSL)",
2217 "3M India",
2218 "Morningstar",
2219 "Hikal",
2220 "Ienergizer",
2221 "Cars24",
2222 "Altisource",
2223 "Applied Materials",
2224 "Paytm",
2225 "Fractal Analytics",
2226 "JSW Steel",
2227 "Valuelabs",
2228 "Alstom Transportation",
2229 "Sterlite Technologies (STL)",
2230 "Pepsi Foods",
2231 "HDFC Life",
2232 "Zuventus Healthcare",
2233 "Indus Towers",
2234 "Phoenix Mills",
2235 "Innovaccer",
2236 "Pega",
2237 "Lenskart",
2238 "AtkinsRéalis",
2239 "Games2win",
2240 "Manipal Hospitals",
2241 "Flowserve",
2242 "ZS",
2243 "Concentrix",
2244 "Philips",
2245 "ASM Technologies",
2246 "DECATHLON Sports",
2247 "FedEx",
2248 "Kansai Nerolac",
2249 "Juniper Networks",
2250 "Capita",
2251 "PayU",
2252 "eClerx",
2253 "Thales",
2254 "Cargill",
2255 "Varun Beverages Limited",
2256 "Cipla",
2257 "Sasken Technologies",
2258 "Medline",
2259 "Aon",
2260 "Acuity Knowledge Partners",
2261 "Alembic Pharmaceuticals",
2262 "Indusind Bank",
2263 "Yes Bank",
2264 "Neilsoft",
2265 "Bigbasket",
2266 "Dream11",
2267 "Inmobi",
2268 "Cvent",
2269 "Becton Dickinson",
2270 "TVS Electronics",
2271 "CBRE",
2272 "Foundever",
2273 "Tata Elxsi",
2274 "GreyOrange",
2275 "UST",
2276 "Tokopedia",
2277 "Jana Small Finance Bank",
2278 "IHG Hotels & Resorts",
2279 "Shiv Nadar University",
2280 "athenahealth",
2281 "Replicon",
2282 "PwC India",
2283 "Amdocs",
2284 "Pfizer",
2285 "Datamatics",
2286 "KPMG Assurance and Consulting Services LLP",
2287 "Clove Dental",
2288 "Narayana Health (NH)",
2289 "Muthoot FinCorp (MFL)",
2290 "Intel",
2291 "Sabre",
2292 "Justdial",
2293 "Yokogawa",
2294 "ARM Embedded Technologies",
2295 "Startek",
2296 "Epam Systems",
2297 "HTC Global Services",
2298 "Zenoti",
2299 "IIFL Finance",
2300 "WNS Holdings",
2301 "ADP Solutions",
2302 "Gartner",
2303 "Hdfc Securities",
2304 "Saxo",
2305 "VMware",
2306 "Ingram Micro",
2307 "Thoughtspot",
2308 "UKG",
2309 "NTT Data Information Processing Services",
2310 "Sharda University",
2311 "Jones Lang LaSalle (JLL)",
2312 "Angel One",
2313 "Piramal Enterprises",
2314 "Sprinklr",
2315 "V2soft",
2316 "Arvind Limited",
2317 "Dun & Bradstreet",
2318 "upGrad",
2319 "Murugappa Group",
2320 "Brillio",
2321 "Calsoft",
2322 "Shahi",
2323 "Rackspace Technology",
2324 "Sony",
2325 "Indegene",
2326 "The Hackett Group",
2327 "Novo Nordisk",
2328 "Visa",
2329 "Deloitte",
2330 "Nestle",
2331 "Exide",
2332 "Tracxn",
2333 "General Mills",
2334 "Michelin",
2335 "Renew",
2336 "Four Seasons",
2337 "Kla Tencor",
2338 "Franklin Templeton",
2339 "Nasdaq",
2340 "Relaxo",
2341 "Ipca",
2342 "Ansys",
2343 "PVR Cinemas",
2344 "Godrej & Boyce (G&B)",
2345 "Sapiens",
2346 "Care Health Insurance (CHI)",
2347 "Mindtickle",
2348 "Andritz",
2349 "First American",
2350 "Bain",
2351 "GE Vernova",
2352 "HDFC ERGO",
2353 "Pitney Bowes (PBI)",
2354 "Wework",
2355 "Uflex",
2356 "FactSet",
2357 "SBI General Insurance",
2358 "Movate Technologies",
2359 "Kokilaben Dhirubhai Ambani Hospital",
2360 "Apexon",
2361 "IDFC FIRST Bank",
2362 "Infobeans",
2363 "Intelliswift",
2364 "Tata Projects",
2365 "Dunnhumby",
2366 "Easemytrip",
2367 "Societe Generale Global Solution Centre",
2368 "Ferns N Petals",
2369 "Asian Paints",
2370 "Amity University",
2371 "Puma",
2372 "National Payments Corporation of India (NPCI)",
2373 "Aveva",
2374 "ITC",
2375 "Dr Reddys Foundation (DRF)",
2376 "Avery Dennison",
2377 "Browserstack",
2378 "Policybazaar",
2379 "Altimetrik",
2380 "Goibibo",
2381 "Secure Meters",
2382 "Cisco",
2383 "Aragen Life Sciences Private limited",
2384 "HERITAGE FOODS LIMITED",
2385 "Jubilant FoodWorks (JFL)",
2386 "Renew",
2387 "Zydus Lifesciences",
2388 "TELUS International",
2389 "AbbVie",
2390 "Chargepoint",
2391 "GAP",
2392 "Sopra Steria",
2393 "NTT DATA",
2394 "Teva Pharmaceuticals",
2395 "Icertis",
2396 "TIBCO",
2397 "BAJAJ FINSERVE",
2398 "Indecomm",
2399 "Sun Life",
2400 "MSN Group",
2401 "Atria Convergence Technologies (ACT)",
2402 "Hdfc Sales",
2403 "Here Technologies",
2404 "Allstate Solutions (ASPL)",
2405 "TVS Credit Services",
2406 "Jiva Ayurveda",
2407 "Optum",
2408 "Ageas Federal",
2409 "Tuv",
2410 "Maintec Technologies",
2411 "People Group",
2412 "24 7 ai",
2413 "Smartworks",
2414 "Mahindra Finance",
2415 "Saint Gobain",
2416 "Synchrony",
2417 "LPU",
2418 "Fino Payments Bank",
2419 "Torrent Pharmaceuticals",
2420 "Bentley Systems",
2421 "Pearson",
2422 "IndiGo",
2423 "Muthoot Finance",
2424 "Mahindra",
2425 "Twilio",
2426 "FCS Software Solutions",
2427 "Intas",
2428 "Luminous Power Technologies",
2429 "Eaton Technologies",
2430 "Edelweiss Financial",
2431 "Finolex Cables",
2432 "Unichem Laboratories",
2433 "Coindcx",
2434 "Star Union Dai ichi Life Insurance (SUD Life)",
2435 "Compass Group",
2436 "Manhattan Associates",
2437 "Blue Star",
2438 "IQVIA",
2439 "ICICI Prudential Life",
2440 "Invesco",
2441 "Investors Clinic",
2442 "Dainik Bhaskar Group",
2443 "Highradius",
2444 "Fico",
2445 "Tata AutoComp",
2446 "P&G",
2447 "Dabur",
2448 "Evalueserve",
2449 "Paisabazaar",
2450 "Westside",
2451 "Dow Chemical International Private Limited",
2452 "Glance",
2453 "Matrimony com",
2454 "Dr Lal PathLabs",
2455 "Bankbazaar",
2456 "Norton",
2457 "Tata Chemicals",
2458 "Xoriant",
2459 "Reliance Industries (RIL)",
2460 "R Systems International",
2461 "Cotiviti",
2462 "Aparna Constructions And Estates",
2463 "Clinton Health Access Initiative (CHAI)",
2464 "Hurix",
2465 "Shell Infotech",
2466 "Hidesign",
2467 "IKS HEALTH",
2468 "Isgec Heavy Engineering",
2469 "Croma",
2470 "Ample Technologies",
2471 "BT",
2472 "Incedo",
2473 "Rentomojo",
2474 "Ecom Express",
2475 "Atos Syntel",
2476 "Vlcc",
2477 "Dell Technologies",
2478 "Inspirisys",
2479 "Simplilearn",
2480 "Dharampal Satyapal Group (DS Group)",
2481 "Safran Engineering Services",
2482 "Meta Platforms",
2483 "Nagarro",
2484 "AgreeYa Solutions",
2485 "DBS Bank",
2486 "Taco Bell",
2487 "Seclore",
2488 "Club Mahindra",
2489 "Cigna TTK",
2490 "OYO",
2491 "Frost & Sullivan",
2492 "Nanavati Max Super Speciality Hospital",
2493 "1mg",
2494 "Bajaj Finance",
2495 "Manappuram Finance (MAFIL)",
2496 "Sophos",
2497 "Opentext",
2498 "Sungard Availability Services",
2499 "PNB Housing",
2500 "Tetra Pak",
2501 "Sirionlabs",
2502 "Tripoto",
2503 "Akamai",
2504 "Kone",
2505 "Havells",
2506 "Tietoevry",
2507 "Ingersoll Rand",
2508 "CMS Info Systems (CMS)",
2509 "Intercontinental Consultants & Technocrats",
2510 "Landis Gyr",
2511 "Thyrocare",
2512 "Zolostays",
2513 "Designco",
2514 "Progressive Infotech",
2515 "Hindustan Coca Cola Beverages (HCCB)",
2516 "Fiserv",
2517 "JINDAL STEEL & POWER",
2518 "Sykes",
2519 "Heinz",
2520 "Vodafone Idea",
2521 "K Raheja Corp",
2522 "Newgen",
2523 "Acko",
2524 "Vedantu Innovations",
2525 "Megha Engineering And Infrastructure",
2526 "Data Intensity",
2527 "NSEIT",
2528 "Shriram Life Insurance",
2529 "Religare Broking (RBL)",
2530 "Ferrero India",
2531 "Canara HSBC Life Insurance Company",
2532 "Sir Ganga Ram Hospital",
2533 "Ujjivan Small Finance Bank",
2534 "Schlumberger",
2535 "Iris Software",
2536 "Deepak Fertilisers and Petrochemicals (DFPCL)",
2537 "Fosroc Chemicals",
2538 "Franchise India Holdings",
2539 "IVRCL",
2540 "Computer Age Management Services (CAMS)",
2541 "Khazana Jewellery",
2542 "Barbeque Nation",
2543 "SMFG INDIA CREDIT COMPANY",
2544 "Einfochips",
2545 "Google",
2546 "Extramarks Education",
2547 "Oculusit",
2548 "KSB",
2549 "Navis",
2550 "Nihilent",
2551 "Reckitt",
2552 "Idemia Syscom",
2553 "Bahwan CyberTek",
2554 "Urban Company (UC)",
2555 "Seagate",
2556 "PTC",
2557 "Syngene",
2558 "Tractors and Farm Equipment (TAFE)",
2559 "Cleartrip",
2560 "Tata Consulting Engineers",
2561 "Metropolis Healthcare",
2562 "Aptara",
2563 "MRF",
2564 "Aurobindo Pharma",
2565 "Mankind Pharma",
2566 "Sonata Software",
2567 "CEAT",
2568 "Chemplast Sanmar",
2569 "Polaris Software Lab",
2570 "Aviva India",
2571 "KPIT",
2572 "Innodata India",
2573 "Exela Technologies",
2574 "Perkinelmer",
2575 "Hinduja Global Solutions (HGS)",
2576 "IDEMIA",
2577 "Tata Motors Finance",
2578 "Chai Point",
2579 "Stanza Living",
2580 "Ness",
2581 "Danfoss",
2582 "Miko",
2583 "Damco Solutions",
2584 "Elico Healthcare Services",
2585 "Digit Insurance",
2586 "Jumbotail Technologies",
2587 "USHA International",
2588 "DTDC Express",
2589 "Iq-eq",
2590 "Yamaha Motor Co",
2591 "Shapoorji Pallonji Group",
2592 "Lionbridge",
2593 "Ixigo",
2594 "Coverfox",
2595 "Yash Technologies",
2596 "Cadila Pharmaceuticals",
2597 "Globaldata",
2598 "Azuga Telematics",
2599 "C&S Electric",
2600 "Oberoi Realty",
2601 "Truecaller",
2602 "Bosch Global Software Technologies",
2603 "Mukand Ltd",
2604 "Hindustan Unilever (HUL)",
2605 "AXIS DIRECT",
2606 "General Motors (GM)",
2607 "Sharekhan",
2608 "BNP Paribas",
2609 "McCain",
2610 "Oppo",
2611 "Indifi Technologies",
2612 "Hero Fincorp",
2613 "Bajaj Electricals",
2614 "Parexel",
2615 "ExxonMobil",
2616 "Yodlee",
2617 "Micro Labs",
2618 "Teradata",
2619 "Panacea Biotec",
2620 "Wockhardt Hospitals",
2621 "ACI Worldwide",
2622 "Nagarjuna Construction Company (NCC)",
2623 "Elecon Engineering",
2624 "Meyer Organics",
2625 "Xpressbees",
2626 "Suzlon Group",
2627 "Timken",
2628 "Feedback Infra",
2629 "Carwale",
2630 "Amadeus",
2631 "Manipal Technologies",
2632 "Navayuga Engineering Company (NEC)",
2633 "Trident Group",
2634 "Piaggio",
2635 "D Decor",
2636 "Siyarams",
2637 "Prime Focus Technologies (PFT)",
2638 "Rmsi",
2639 "Aegon Life",
2640 "Bureau Veritas Consumer Products Services",
2641 "Boston Consulting Group",
2642 "Kennametal",
2643 "Pristyn Care",
2644 "Apotex",
2645 "Crowe",
2646 "Jacobs",
2647 "Healthkart",
2648 "MSCI Services",
2649 "Akshaya Patra Foundation",
2650 "Centre For Sight",
2651 "LOreal",
2652 "Roots Industries India Limited",
2653 "KEC International",
2654 "Mastek",
2655 "Infibeam Avenues (IAL)",
2656 "Treebo Hotels",
2657 "Haier Appliances",
2658 "Hdfc Red",
2659 "Bandhan Bank",
2660 "NXP Semiconductors",
2661 "Scoopwhoop Media",
2662 "Endurance Technologies",
2663 "Mavenir",
2664 "Pyrotech Workspace Solutions",
2665 "Tecnimont",
2666 "Zydus School For Excellence",
2667 "Tata International",
2668 "Apnatime Tech",
2669 "NTT DATA BUSINESS SOLUTIONS",
2670 "Impetus Technologies",
2671 "Zydex",
2672 "ICICI Securities",
2673 "Tower Research Capital",
2674 "Trigyn Technologies",
2675 "Metlife",
2676 "TE Connectivity",
2677 "Kotak Securities (KSL)",
2678 "Redbus",
2679 "VFS Global",
2680 "Dailyhunt",
2681 "Flsmidth",
2682 "Agility",
2683 "SMC Global Securities",
2684 "Tata Steel",
2685 "Rolls Royce",
2686 "Branch Metrics",
2687 "Jindal Stainless (JSL)",
2688 "BSCPL Infrastructure",
2689 "Chegg",
2690 "Xinthe Technologies",
2691 "Incred",
2692 "Jubilant Pharmova Limited",
2693 "Lite Bite Foods (LBF)",
2694 "Commscope",
2695 "Kempegowda International Airport (BLR AIRPORT)",
2696 "Ocwen Financial Corporation",
2697 "STL Digital",
2698 "Commonfloor",
2699 "PTC Energy",
2700 "ANZ",
2701 "Apexon",
2702 "Excelacom Technologies",
2703 "Path Infotech",
2704 "State Bank of India (SBI)",
2705 "Marico",
2706 "FIS",
2707 "Q3 technologies",
2708 "Global Talent Track",
2709 "Apollo Tyres",
2710 "PCS Technology",
2711 "Hatsun Agro Product",
2712 "Vadilal",
2713 "Net Solutions",
2714 "S&P Global Market Intelligence",
2715 "AkzoNobel",
2716 "Sumtotal Systems",
2717 "Haptik",
2718 "Elasticrun",
2719 "Sunrise Biztech Systems",
2720 "Bahwan Engineering Company (BEC)",
2721 "Red Hat",
2722 "Mahindra Lifespaces",
2723 "SRM Technologies",
2724 "Ubisoft",
2725 "Hindalco Industries",
2726 "Biocon Biologics Limited",
2727 "Bengaluru Airport Services",
2728 "BMC Software",
2729 "Lifestyle",
2730 "GEP",
2731 "Godrej Infotech",
2732 "Alkem Laboratories",
2733 "Adobe",
2734 "Dilip Buildcon",
2735 "Tata Sky",
2736 "Rockwell Automation",
2737 "Infra.Market",
2738 "BillDesk",
2739 "Bewakoof.com",
2740 "Espire Infolabs",
2741 "Navneet Education",
2742 "IonIdea",
2743 "The Walt Disney Company",
2744 "JK Technosoft",
2745 "Reliance Power",
2746 "Everest Industries",
2747 "Kaya Skin Clinic",
2748 "Syniverse",
2749 "Kirloskar Brothers Limited",
2750 "Hyundai Motor",
2751 "Kfin Technologies",
2752 "Havmor",
2753 "Quiktrak",
2754 "Talenoid",
2755 "Pine Labs",
2756 "VIATRIS",
2757 "Hackerearth",
2758 "Hitachi",
2759 "Optymyze",
2760 "VIP",
2761 "Sandhar Technologies",
2762 "Webengage",
2763 "Afcons",
2764 "Licious",
2765 "Parle",
2766 "Flame University",
2767 "Parag Milk Foods",
2768 "Shoppers Stop",
2769 "Indiabulls Housing Finance (IBHFL)",
2770 "Carnival Group",
2771 "Thiess",
2772 "Bajaj Housing Finance",
2773 "Hungama",
2774 "Allied Digital",
2775 "AkzoNobel India",
2776 "Gupshup Technology",
2777 "Thomson Reuters",
2778 "3i Infotech",
2779 "Atlas Jewellery",
2780 "Hero Cycles",
2781 "Teksystems",
2782 "Hitech Digital Solutions",
2783 "PTC India",
2784 "Onkar Infotech",
2785 "SR Edu Technologies",
2786 "Sterling & Wilson",
2787 "Mahindra Logistics",
2788 "Freecharge",
2789 "Unacademy",
2790 "Jaypee Hospital",
2791 "Tata Power",
2792 "Darwinbox",
2793 "Hindustan Construction Company (HCC)",
2794 "Entertainment Network India (ENIL)",
2795 "Alza Inc",
2796 "Bravura Solutions",
2797 "Celebi Aviation Holding",
2798 "Esds Software Solutions",
2799 "Inditex",
2800 "Merck Sharp & Dohme (MSD)",
2801 "Muthoot Microfin",
2802 "Rubrik",
2803 "Systems Technology (STI)",
2804 "TBEA",
2805 "Tata Consumer Products",
2806 "Tata Housing Development Company",
2807 "ValueFirst",
2808 "Technicolor",
2809 "TVS Supply Chain Solutions (TVS SCS)",
2810 "Udaan",
2811 "Jindal Aluminium",
2812 "Dhani Loans and Services (DLSL)",
2813 "Spicejet",
2814 "Financial Software Systems(FSS)",
2815 "Practo",
2816 "Daimler India Commercial Vehicles",
2817 "Grasim Industries",
2818 "Tractebel",
2819 "Informatica",
2820 "UFO Moviez",
2821 "Fidelity National Financial (FNF)",
2822 "CSG International",
2823 "LG Soft India",
2824 "Homeward",
2825 "Toppr",
2826 "Pidilite",
2827 "Moolchand",
2828 "Reliance Capital",
2829 "Lenovo",
2830 "Coursera",
2831 "Goqii",
2832 "Amul",
2833 "Assa Abloy",
2834 "Finastra",
2835 "The LaLiT",
2836 "Tata Advanced Systems (TASL)",
2837 "Emami Agrotech",
2838 "Thyssenkrupp",
2839 "Droom",
2840 "Ansal Housing",
2841 "The Times Group",
2842 "Cholayil",
2843 "Cogent Data Solutions (CDS)",
2844 "Chargebee",
2845 "Hike",
2846 "India Glycols",
2847 "Nucleus Software Exports",
2848 "Anheuser Busch InBev",
2849 "WPP",
2850 "Columbus Global",
2851 "V Mart",
2852 "Bagrrys",
2853 "Amelia Global Services",
2854 "Voltas",
2855 "Zomato",
2856 "Wockhardt",
2857 "Modern Vidya Niketan",
2858 "Noon Technologies",
2859 "Cheil India",
2860 "Marriott",
2861 "Mahindra World City",
2862 "IMS Learning Resources",
2863 "Jindal Saw",
2864 "Xerox",
2865 "Manipal University Jaipur",
2866 "Quadcom Technologies",
2867 "Burger King",
2868 "Abinbev Gcc Services",
2869 "Vuclip",
2870 "Porteck",
2871 "The Orchid Hotels",
2872 "JK Lakshmi Cement",
2873 "Simplex Infrastructures",
2874 "Omaxe",
2875 "Fareportal",
2876 "Anita Dongre",
2877 "Innodata Isogen",
2878 "Miraj Group",
2879 "Samsung India",
2880 "Royal Orchid & Regenta Hotels",
2881 "Ford",
2882 "Mothers Pride",
2883 "Prime Focus (PFL)",
2884 "Capillary Technologies",
2885 "Focus Energy",
2886 "Qatar Airways",
2887 "Praxcode Technologies",
2888 "Lowe's",
2889 "Idbi Capital",
2890 "Tavant Technologies",
2891 "Schbang",
2892 "Aditya Birla Management Corporation (ABMCPL)",
2893 "All Services Global",
2894 "Angelique International",
2895 "Arvind Group",
2896 "Baxter",
2897 "Corbus",
2898 "Cropin Technology Solutions",
2899 "Edunetwork",
2900 "FIVE STAR Business Finance",
2901 "HLL Lifecare",
2902 "Traveltriangle",
2903 "Intec Capital",
2904 "Isha Foundation",
2905 "Niva Bupa",
2906 "Overseas Infrastructure Alliance",
2907 "Spaze Towers",
2908 "Sun Direct",
2909 "Tecnotree",
2910 "VVF",
2911 "Doosan Power Systems",
2912 "Kissht",
2913 "Volvo Group",
2914 "Shree Shubham Logistics",
2915 "Force Motors",
2916 "Linde Global Support Services",
2917 "Telus International Ai",
2918 "Yatra.com",
2919 "Qubol",
2920 "National Health And Education Society",
2921 "Esaar India",
2922 "DCM Shriram",
2923 "Limetray",
2924 "Fidelity",
2925 "JioSaavn",
2926 "Valtech India Systems",
2927 "Snapdeal",
2928 "Suguna Foods",
2929 "Intellect Design Arena",
2930 "Indian Hotels Company (IHCL)",
2931 "Mckinsey & Company",
2932 "Zerodha",
2933 "Wolters Kluwer",
2934 "Blue Dart",
2935 "JMC Projects",
2936 "Tata Consultancy Services",
2937 "Amar Ujala",
2938 "MARKS & SPENCER (M&S)",
2939 "Blackbuck",
2940 "ESSAR",
2941 "Saipem",
2942 "Mathworks",
2943 "Patanjali Ayurved",
2944 "Baldota Group",
2945 "New Delhi Television (NDTV)",
2946 "Tata Classedge",
2947 "Bharatpe",
2948 "Stashfin",
2949 "Groww",
2950 "Lakme",
2951 "vivo",
2952 "G4S",
2953 "firstcry com",
2954 "ZEISS",
2955 "Hexad Infosoft",
2956 "The Ken",
2957 "HEAT Software",
2958 "Airtel International",
2959 "Brahmaputra Group",
2960 "Okcredit",
2961 "ICICI Bank",
2962 "OYO",
2963 "BSE Institute",
2964 "Chetu",
2965 "Druva",
2966 "Harbinger Systems",
2967 "Himachal Futuristic Communications (HFCL)",
2968 "Hisoa Electronic",
2969 "Maxima Consulting",
2970 "Motherson",
2971 "Muthoot Housing Finance Company (MHFCL)",
2972 "Nest Childcare Services",
2973 "Signify",
2974 "ShareChat",
2975 "Stemmons Business",
2976 "Visas Avenue",
2977 "Wilo Mather And Platt Pumps",
2978 "Zetwerk",
2979 "Disney Star",
2980 "Airasia",
2981 "S Chand Group",
2982 "DLF Services",
2983 "24/7 Software",
2984 "Eruditus",
2985 "Wells Fargo",
2986 "Girnarsoft",
2987 "Intuit",
2988 "The Body Shop",
2989 "SmartPlay",
2990 "Batra Hospital",
2991 "International Management Institute Kolkata (IMI Kolkata)",
2992 "Britannia",
2993 "naaptol",
2994 "Hughes Communications",
2995 "Hathway",
2996 "Lava International",
2997 "Onmobile",
2998 "NTT Data Payment Services",
2999 "M And M Bangalore",
3000 "MLL Express Services",
3001 "Nortonlifelock Software Services",
3002 "Oracle Marketing",
3003 "CACTUS Communications",
3004 "Religare Enterprises (REL)",
3005 "Enrich It"
3006 ]
3007 }
3008 }
3009 }
3010 },
3011 "runsResponseSchema": {
3012 "type": "object",
3013 "properties": {
3014 "data": {
3015 "type": "object",
3016 "properties": {
3017 "id": {
3018 "type": "string"
3019 },
3020 "actId": {
3021 "type": "string"
3022 },
3023 "userId": {
3024 "type": "string"
3025 },
3026 "startedAt": {
3027 "type": "string",
3028 "format": "date-time",
3029 "example": "2025-01-08T00:00:00.000Z"
3030 },
3031 "finishedAt": {
3032 "type": "string",
3033 "format": "date-time",
3034 "example": "2025-01-08T00:00:00.000Z"
3035 },
3036 "status": {
3037 "type": "string",
3038 "example": "READY"
3039 },
3040 "meta": {
3041 "type": "object",
3042 "properties": {
3043 "origin": {
3044 "type": "string",
3045 "example": "API"
3046 },
3047 "userAgent": {
3048 "type": "string"
3049 }
3050 }
3051 },
3052 "stats": {
3053 "type": "object",
3054 "properties": {
3055 "inputBodyLen": {
3056 "type": "integer",
3057 "example": 2000
3058 },
3059 "rebootCount": {
3060 "type": "integer",
3061 "example": 0
3062 },
3063 "restartCount": {
3064 "type": "integer",
3065 "example": 0
3066 },
3067 "resurrectCount": {
3068 "type": "integer",
3069 "example": 0
3070 },
3071 "computeUnits": {
3072 "type": "integer",
3073 "example": 0
3074 }
3075 }
3076 },
3077 "options": {
3078 "type": "object",
3079 "properties": {
3080 "build": {
3081 "type": "string",
3082 "example": "latest"
3083 },
3084 "timeoutSecs": {
3085 "type": "integer",
3086 "example": 300
3087 },
3088 "memoryMbytes": {
3089 "type": "integer",
3090 "example": 1024
3091 },
3092 "diskMbytes": {
3093 "type": "integer",
3094 "example": 2048
3095 }
3096 }
3097 },
3098 "buildId": {
3099 "type": "string"
3100 },
3101 "defaultKeyValueStoreId": {
3102 "type": "string"
3103 },
3104 "defaultDatasetId": {
3105 "type": "string"
3106 },
3107 "defaultRequestQueueId": {
3108 "type": "string"
3109 },
3110 "buildNumber": {
3111 "type": "string",
3112 "example": "1.0.0"
3113 },
3114 "containerUrl": {
3115 "type": "string"
3116 },
3117 "usage": {
3118 "type": "object",
3119 "properties": {
3120 "ACTOR_COMPUTE_UNITS": {
3121 "type": "integer",
3122 "example": 0
3123 },
3124 "DATASET_READS": {
3125 "type": "integer",
3126 "example": 0
3127 },
3128 "DATASET_WRITES": {
3129 "type": "integer",
3130 "example": 0
3131 },
3132 "KEY_VALUE_STORE_READS": {
3133 "type": "integer",
3134 "example": 0
3135 },
3136 "KEY_VALUE_STORE_WRITES": {
3137 "type": "integer",
3138 "example": 1
3139 },
3140 "KEY_VALUE_STORE_LISTS": {
3141 "type": "integer",
3142 "example": 0
3143 },
3144 "REQUEST_QUEUE_READS": {
3145 "type": "integer",
3146 "example": 0
3147 },
3148 "REQUEST_QUEUE_WRITES": {
3149 "type": "integer",
3150 "example": 0
3151 },
3152 "DATA_TRANSFER_INTERNAL_GBYTES": {
3153 "type": "integer",
3154 "example": 0
3155 },
3156 "DATA_TRANSFER_EXTERNAL_GBYTES": {
3157 "type": "integer",
3158 "example": 0
3159 },
3160 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
3161 "type": "integer",
3162 "example": 0
3163 },
3164 "PROXY_SERPS": {
3165 "type": "integer",
3166 "example": 0
3167 }
3168 }
3169 },
3170 "usageTotalUsd": {
3171 "type": "number",
3172 "example": 0.00005
3173 },
3174 "usageUsd": {
3175 "type": "object",
3176 "properties": {
3177 "ACTOR_COMPUTE_UNITS": {
3178 "type": "integer",
3179 "example": 0
3180 },
3181 "DATASET_READS": {
3182 "type": "integer",
3183 "example": 0
3184 },
3185 "DATASET_WRITES": {
3186 "type": "integer",
3187 "example": 0
3188 },
3189 "KEY_VALUE_STORE_READS": {
3190 "type": "integer",
3191 "example": 0
3192 },
3193 "KEY_VALUE_STORE_WRITES": {
3194 "type": "number",
3195 "example": 0.00005
3196 },
3197 "KEY_VALUE_STORE_LISTS": {
3198 "type": "integer",
3199 "example": 0
3200 },
3201 "REQUEST_QUEUE_READS": {
3202 "type": "integer",
3203 "example": 0
3204 },
3205 "REQUEST_QUEUE_WRITES": {
3206 "type": "integer",
3207 "example": 0
3208 },
3209 "DATA_TRANSFER_INTERNAL_GBYTES": {
3210 "type": "integer",
3211 "example": 0
3212 },
3213 "DATA_TRANSFER_EXTERNAL_GBYTES": {
3214 "type": "integer",
3215 "example": 0
3216 },
3217 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
3218 "type": "integer",
3219 "example": 0
3220 },
3221 "PROXY_SERPS": {
3222 "type": "integer",
3223 "example": 0
3224 }
3225 }
3226 }
3227 }
3228 }
3229 }
3230 }
3231 }
3232 }
3233}Naukri Job 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 Naukri Job Scraper 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
Muhammet AkkurtMaintained by Community
Actor Metrics
75 monthly users
-
6 bookmarks
>99% runs succeeded
0.15 hours response time
Created in Oct 2024
Modified 19 days ago
Categories
