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Possible solution: just straightforward map through your data. This code creates an array where each element is an object representing one element in interactions array:
var a = {
"interactions":[
{
"id":14,
"user_id":1,
"schedule":"2017-06-04 05:02:12",
"type":"Meeting",
"with_client":0,
"event_type":"2",
"venue":"Mumbai",
"created_at":"2017-06-04 07:15:37",
"updated_at":"2017-06-04 07:15:37",
"deleted_at":null,
"meeting":{
"id":14,
"user_id":1,
"schedule":"2017-06-04 05:02:12",
"type":"Meeting",
"with_client":0,
"event_type":"2",
"venue":"Mumbai",
"created_at":"2017-06-04 07:15:37",
"updated_at":"2017-06-04 07:15:37",
"deleted_at":null,
"clients_association":[
{
"id":4,
"company_id":8,
"salutation":"Mr",
"first_name":"Check 2",
"last_name":"Contact",
"number":"098765",
"email":"check2@contact.com",
"alt_email":null,
"address":null,
"city":null,
"state":null,
"country":null,
"profile":"Investor-Senior",
"sectors_interested":"[\"Financial Services\",\"Metals & Mining\",\"Real Estate\",\"Cement\"]",
"companies_interested":"[9]",
"created_at":"2017-06-03 06:29:38",
"updated_at":"2017-06-03 06:29:38",
"deleted_at":null,
"pivot":{
"interaction_id":14,
"contact_id":4
}
},
{
"id":5,
"company_id":9,
"salutation":"Ms",
"first_name":"Ammy",
"last_name":"Contact",
"number":null,
"email":"ammy@contact.com",
"alt_email":null,
"address":null,
"city":null,
"state":null,
"country":null,
"profile":"Company-Promoter",
"sectors_interested":"[\"Pharmaceuticals\",\"Infrastructure\",\"Metals & Mining\",\"Auto\",\"Auto Ancillaries\",\"Real Estate\",\"Telecoms\",\"Capital Goods\"]",
"companies_interested":"[7]",
"created_at":"2017-06-03 06:30:50",
"updated_at":"2017-06-03 06:30:50",
"deleted_at":null,
"pivot":{
"interaction_id":14,
"contact_id":5
}
}
],
"contacts_association":[
{
"id":2,
"company_id":5,
"salutation":"Mr",
"first_name":"Check",
"last_name":"Contact",
"number":"234567890",
"email":"check@contact.com",
"alt_email":null,
"address":"Thane",
"city":"Thane",
"state":"Maharastra",
"country":"India",
"profile":"Research-Corporate Access",
"sectors_interested":"[\"Infrastructure\",\"Financial Services\",\"Capital Goods\",\"Pharmaceuticals\",\"Real Estate\"]",
"companies_interested":"[7]",
"created_at":"2017-06-02 19:32:30",
"updated_at":"2017-06-02 19:32:30",
"deleted_at":null,
"pivot":{
"interaction_id":14,
"contact_id":2
}
},
{
"id":3,
"company_id":4,
"salutation":"Mr",
"first_name":"Check 1",
"last_name":"Contact",
"number":null,
"email":"check1@contact.com",
"alt_email":null,
"address":null,
"city":null,
"state":null,
"country":null,
"profile":"Investor-Research Head",
"sectors_interested":"[\"Economics\",\"Real Estate\",\"Auto\",\"Consumer\",\"Logistics\",\"Oil & Gas\",\"Industrial\",\"Capital Goods\"]",
"companies_interested":"[8]",
"created_at":"2017-06-03 06:28:03",
"updated_at":"2017-06-03 06:28:03",
"deleted_at":null,
"pivot":{
"interaction_id":14,
"contact_id":3
}
},
],
"stellar_participants":[
{
"id":1,
"name":"Analyst",
"email":"analyst@example.com",
"address":null,
"city":null,
"state":null,
"country":null,
"role":"Analyst",
"supervisor_id":null,
"created_at":null,
"updated_at":null,
"deleted_at":null,
"pivot":{
"interaction_id":14,
"user_id":1
}
}
]
}
},
]
};
var res = a.interactions.map(i => Object.assign({
'meeting_date': i.schedule,
'meeting_call': i.type,
'event_type': i.event_type,
'venue': i.venue,
'with_client': i.with_client
}, {
'stellar_participants': i.meeting.stellar_participants.map(sp => sp.name).join(', ')
}, {
'clients_association': i.meeting.clients_association.map(ca => ca.first_name + ' ' + ca.last_name).join(', ')
}, {
'contacts_association': i.meeting.contacts_association.map(ca => ca.first_name + ' ' + ca.last_name).join(', ')
}));
console.log(res)Source:stackexchange.com