import asyncio from truecallerpy import search_phonenumber, bulk_search # phone_number = "+919886933535" country_code = "IN" installation_id = "a1i0Z--kjyBOM-4kqgaOIwBLVVF4CuVwF8AuGBHdoAbCk2snwq4TWscIA788QDHe" # response = asyncio.run(search_phonenumber(phone_number, country_code, installation_id)) # print(response) phone_numbers=[ # '+91 70203 86338', # '+91 70203 97055', # '+91 70225 90290', # '+91 70951 75777', # '+91 72047 93898', # '+91 72071 23430', # '+91 72072 75351', # '+91 72338 71949', # '+91 72598 50666', # '+91 72598 86585', # '+91 72761 42654', # '+91 72930 10103', # '+91 72999 04131', # '+91 73311 42306', # '+91 73377 05566', # '+91 73533 91779', # '+91 73562 71577', # '+91 73820 63500', # '+91 73823 74734', # '+91 73826 79036', # '+91 73870 85636', # '+91 73967 71829', # '+91 74061 79451', # '+91 74119 03104', # '+91 74182 47620', # '+91 75099 16868', # '+91 75501 21743', # '+91 76192 05256', # '+91 76610 17054', # '+91 76618 01547', # '+91 76668 27701', # '+91 77020 35016', # '+91 77100 26644', # '+91 77108 61655', # '+91 77219 39986', # '+91 77320 69764', # '+91 77605 67824', # '+91 77690 31991', # '+91 77948 41440', # '+91 77951 89428', # '+91 77993 87000', # '+91 78383 63134', # '+91 78422 19060', # '+91 78424 24108', # '+91 78427 27127', # '+91 78930 50195', # '+91 79813 66815', # '+91 79897 45117', # '+91 79899 27522', # '+91 79955 19212', # '+91 79957 29957', # '+91 80080 55437', # '+91 80083 83803', # '+91 80089 95515', # '+91 80102 21206', # '+91 80126 23323', # '+91 80152 40242', # '+91 80191 05309', # '+91 80198 36818', # '+91 80500 37004', # '+91 80741 77657', # '+91 80877 67295', # '+91 80885 06036', # '+91 80950 80268', # '+91 80969 81969', # '+91 80978 29318', # '+91 80991 40420', # '+91 80991 43986', # '+91 80997 05878', # '+91 80999 99845', # '+91 81052 92136', # '+91 81054 81226', # '+91 81056 64354', # '+91 81056 64374', # '+91 81212 37097', # '+91 81232 12683', # '+91 81235 62070', # '+91 81254 98589', # '+91 81255 52188', # '+91 81258 32469', # '+91 81427 85735', # '+91 81431 18292', # '+91 81437 04723', # '+91 81437 61428', # '+91 81490 94014', # '+91 81680 66055', # '+91 81795 34968', # '+91 81870 99990', # '+91 81975 74718', # '+91 82007 92110', # '+91 82177 56913', # '+91 82204 03091', # '+91 82377 94279', # '+91 82472 14700', # '+91 82477 23215', # '+91 82961 94813', # '+91 82973 18065', # '+91 82973 24123', # '+91 82979 14075', # '+91 83055 45556', # '+91 83092 49315', # '+91 83096 96265', # '+91 83173 90334', # '+91 83299 77898', # '+91 83329 25396', # '+91 83338 08182', # '+91 83695 96384', # '+91 84383 27448', # '+91 84466 01290', # '+91 84548 34764', # '+91 84604 99596', # '+91 84899 04127', # '+91 85008 11088', # '+91 85220 55154', # '+91 85276 02333', # '+91 85278 66522', # '+91 85475 48131', # '+91 85529 38511', # '+91 85559 60532', # '+91 86086 82972', # '+91 86088 03275', # '+91 86678 14145', # '+91 86860 01572', # '+91 87339 47334', # '+91 87905 78774', # '+91 87907 63818', # '+91 87908 85897', # '+91 88001 93295', # '+91 88015 56678', # '+91 88019 92904', # '+91 88053 72131', # '+91 88261 69518', # '+91 88267 98979', # '+91 88606 43296', # '+91 88610 04554', # '+91 88613 11099', # '+91 88613 47474', # '+91 88677 44061', # '+91 88729 06799', # '+91 88818 87972', # '+91 88841 08954', # '+91 88845 54948', # '+91 88861 10888', # '+91 88861 13838', # '+91 88863 81651', # '+91 88888 10395', # '+91 88888 57194', # '+91 88914 15486', # '+91 88977 55755', # '+91 88984 16173', # '+91 89193 98587', # '+91 89194 17213', # '+91 89515 42050', # '+91 89719 89988', # '+91 89771 48799', # '+91 89782 84000', # '+91 89783 79953', # '+91 89785 53786', # '+91 89852 18579', # '+91 89854 69744', # '+91 89858 89802', # '+91 90000 88871', # '+91 90001 51182', # '+91 90006 10098', # '+91 90007 08047', # '+91 90007 91212', # '+91 90031 59840', # '+91 90088 95522', # '+91 90101 93893', # '+91 90103 33380', # '+91 90108 52782', # '+91 90302 18391', # '+91 90304 27772', # '+91 90308 98534', # '+91 90320 67715', # '+91 90325 00502', # '+91 90327 14388', # '+91 90327 36738', '+91 90336 72826', '+91 90361 50835', '+91 90366 10006', '+91 90525 38392', '+91 90527 44032', '+91 90595 79675', '+91 90599 69682', '+91 90664 79074', '+91 90674 05625', '+91 90877 78464', '+91 91002 45707', '+91 91009 31730', '+91 91100 73803', '+91 91300 21180', '+91 91336 65421', '+91 91541 06000', '+91 91580 07172', '+91 91600 04913', '+91 91601 40390', '+91 91682 89797', '+91 91686 12972', '+91 91825 80640', '+91 91827 04868', '+91 91939 57777', '+91 92052 10711', '+91 92255 91333', '+91 93114 56995', '+91 93151 20345', '+91 93421 41199', '+91 93471 26218', '+91 93537 70115', '+91 93631 72225', '+91 93711 75656', '+91 93905 45912', '+91 93908 98322', '+91 93968 12894', '+91 93988 65252', '+91 94250 49327', '+91 94279 50327', '+91 94285 69923', '+91 94302 61632', '+91 94402 95843', '+91 94412 93683', '+91 94418 08237', '+91 94449 09490', '+91 94484 12395', '+91 94835 40666', '+91 94900 92171', '+91 94913 25832', '+91 94915 29535', '+91 94915 33090', '+91 94921 87670', '+91 94923 83962', '+91 94925 86476', '+91 94926 60650', '+91 94927 08902', '+91 94938 78134', '+91 94943 57525', '+91 94945 35836', '+91 94947 50393', '+91 95006 36864', '+91 95020 36663', '+91 95025 68116', '+91 95027 58719', '+91 95033 89355', '+91 95051 23821', '+91 95131 57618', '+91 95133 36749', '+91 95155 36290', '+91 95352 07527', '+91 95382 56681', '+91 95389 35554', '+91 95502 01880', '+91 95533 38195', '+91 95600 85177', '+91 95608 07964', '+91 95654 49507', '+91 95663 90585', '+91 95735 76542', '+91 95814 13199', '+91 95900 06769', '+91 95910 00222', '+91 95922 59992', '+91 95977 36304', '+91 95979 47519', '+91 96000 07384', '+91 96000 10073', '+91 96039 99994', '+91 96111 26779', '+91 96114 72334', '+91 96181 26013', '+91 96181 98762', '+91 96187 23499', '+91 96188 75036', '+91 96202 29768', '+91 96202 29769', '+91 96205 90990', '+91 96209 78828', '+91 96216 33444', '+91 96322 13357', '+91 96326 03448', '+91 96405 49685', '+91 96425 47474', '+91 96425 51000', '+91 96427 73711', '+91 96464 85162', '+91 96528 74331', '+91 96545 11155', '+91 96622 66241', '+91 96630 24127', '+91 96635 18462', '+91 96636 62295', '+91 96663 13931', '+91 96664 44760', '+91 96666 56949', '+91 96666 62332', '+91 96667 73025', '+91 96669 18918', '+91 96764 68484', '+91 96765 17500', '+91 96767 08867', '+91 96770 09700', '+91 96864 32815', '+91 96869 42717', '+91 96869 87540', '+91 97001 42250', '+91 97006 61833', '+91 97008 38230', '+91 97009 39521', '+91 97012 23338', '+91 97016 27151', '+91 97020 17307', '+91 97031 86618', '+91 97033 61713', '+91 97033 95570', '+91 97035 13681', '+91 97035 18248', '+91 97037 70004', '+91 97038 16060', '+91 97043 66817', '+91 97056 04670', '+91 97057 70751', '+91 97059 20442', '+91 97112 07092', '+91 97173 77885', '+91 97182 50921', '+91 97314 33574', '+91 97384 02367', '+91 97389 65667', '+91 97401 61099', '+91 97410 19130', '+91 97416 27717', '+91 97416 58518', '+91 97424 03026', '+91 97426 57799', '+91 97435 17523', '+91 97555 13840', '+91 97642 28804', '+91 97653 36331', '+91 97655 67023', '+91 97697 52819', '+91 97898 48685', '+91 97908 96431', '+91 97914 51121', '+91 98102 46527', '+91 98106 02581', '+91 98107 42800', '+91 98130 58914', '+91 98180 41481', '+91 98182 93001', '+91 98184 74589', '+91 98192 96592', '+91 98194 51597', '+91 98194 96221', '+91 98199 98439', '+91 98205 65628', '+91 98400 20146', '+91 98401 38813', '+91 98402 31036', '+91 98412 00317', '+91 98428 79879', '+91 98451 08168', '+91 98459 03788', '+91 98480 92400', '+91 98485 31717', '+91 98495 48844', '+91 98497 05006', '+91 98499 13391', '+91 98602 40413', '+91 98606 88398', '+91 98660 89900', '+91 98668 75030', '+91 98669 97702', '+91 98671 69685', '+91 98732 29220', '+91 98734 45262', '+91 98748 61333', '+91 98749 75321', '+91 98803 76524', '+91 98808 35159', '+91 98842 16928', '+91 98843 20444', '+91 98844 01881', '+91 98845 67118', '+91 98848 56829', '+91 98849 10222', '+91 98850 04550', '+91 98850 04839', '+91 98850 13192', '+91 98851 14085', '+91 98851 68489', '+91 98854 56406', '+91 98854 96550', '+91 98855 21045', '+91 98856 02642', '+91 98857 50139', '+91 98858 49496', '+91 98859 27701', '+91 98860 30777', '+91 98864 31082', '+91 98867 66658', '+91 98973 96779', '+91 99000 62963', '+91 99000 92742', '+91 99003 74477', '+91 99013 39233', '+91 99029 17729', '+91 99042 22202', '+91 99085 06281', '+91 99089 83798', '+91 99090 11856', '+91 99102 80027', '+91 99104 11515', '+91 99127 07988', '+91 99161 31264', '+91 99161 65085', '+91 99162 45663', '+91 99162 81527', '+91 99167 14702', '+91 99203 18855', '+91 99209 13267', '+91 99217 22612', '+91 99229 91365', '+91 99229 92248', '+91 99234 90530', '+91 99238 29695', '+91 99308 86191', '+91 99308 99365', '+91 99402 98066', '+91 99406 53153', '+91 99443 69370', '+91 99445 27842', '+91 99449 91046', '+91 99484 99843', '+91 99487 30556', '+91 99491 26246', '+91 99495 86306', '+91 99496 07268', '+91 99517 43691', '+91 99592 26425', '+91 99597 22094', '+91 99607 96765', '+91 99615 75662', '+91 99622 41054', '+91 99623 38271', '+91 99629 10190', '+91 99630 45741', '+91 99633 47411', '+91 99645 94590', '+91 99647 38489', '+91 99661 47500', '+91 99665 28800', '+91 99667 24245', '+91 99667 85920', '+91 99667 87401', '+91 99669 87997', '+91 99669 90815', '+91 99707 39055', '+91 99722 23796', '+91 99723 63396', '+91 99726 80615', '+91 99804 27023', '+91 99850 41419', '+91 99854 03344', '+91 99855 75536', '+91 99858 21821', '+91 99858 94338', '+91 99863 34308', '+91 99864 60506', '+91 99866 54470', '+91 99867 70973', '+91 99869 52809', '+91 99869 98300', '+91 99890 07867', '+91 99897 41271', '+91 99898 57912', '+91 99991 37890', '+91 99998 63635'] # phone_numbers=','.join(phone_numbers) contacts=dict() for phone_number in phone_numbers: # print("======",phone_number) try: response = asyncio.run(search_phonenumber(phone_number, country_code, installation_id)) # print(response) print(f"Name:{response['data']['data'][0]['name']} number:{phone_number}") contacts[f'{phone_number}'] = response['data']['data'][0]['name'] except Exception as e: print(e) print(contacts) # # phone_numbers = "+91 9886933535,+91 9980809599" # response = asyncio.run(bulk_search(phone_numbers, country_code, installation_id)) # print(response)
Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
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When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
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elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
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Name | Description |
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NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |