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MongoDB + Tookan Integrations

Appy Pie Connect allows you to automate multiple workflows between MongoDB and Tookan

  • No code
  • No Credit Card
  • Lightning Fast Setup
About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

About Tookan

Schedule, dispatch and track your fleet with an intuitive & powerful on-demand delivery management platform.

Tookan Integrations

Best ways to Integrate MongoDB + Tookan

  • MongoDB Tookan

    MongoDB + Tookan

    Add Customer in Tookan when New Document is created in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Document
     
    Then do this...
    Tookan Add Customer
  • MongoDB Tookan

    MongoDB + Tookan

    Add Agent in Tookan when New Document is created in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Document
     
    Then do this...
    Tookan Add Agent
  • MongoDB Tookan

    MongoDB + Tookan

    Create a Pickup Task to Tookan from New Document in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Document
     
    Then do this...
    Tookan Create a Pickup Task
  • MongoDB Tookan

    MongoDB + Tookan

    Create a Delivery Task to Tookan from New Document in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Document
     
    Then do this...
    Tookan Create a Delivery Task
  • MongoDB Tookan

    MongoDB + Tookan

    Create an Appointment Task to Tookan from New Document in MongoDB Read More...
    Close
    When this happens...
    MongoDB New Document
     
    Then do this...
    Tookan Create an Appointment Task
  • MongoDB {{item.actionAppName}}

    MongoDB + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect MongoDB + Tookan in easier way

It's easy to connect MongoDB + Tookan without coding knowledge. Start creating your own business flow.

    Triggers
  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

  • New Task

    Trigger when new task created.

    Actions
  • Create Document

    Create a new document in a collection of your choice.

  • Add Agent

    Adds a new agent

  • Add Customer

    Create a new customer.

  • Create a Delivery Task

    Create a Delivery Task

  • Create a Pick and Delivery Task

    Create a Pick and Delivery Task.

  • Create a Pickup Task

    Creates a pick task.

  • Create an Appointment Task

    Create an Appointment Task

  • Create an FOS Workflow Task

    Create an FOS Workflow Task.

How MongoDB & Tookan Integrations Work

  1. Step 1: Choose MongoDB as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Tookan as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from MongoDB to Tookan.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MongoDB and Tookan

MongoDB is a highly popular open source NoSQL document database. MongoDB stores documents in cplections, which are similar to tables in relational databases. Documents are represented by BSON (Binary JSON. objects of different types. Each document contains an array of name-value pairs known as properties. MongoDB uses schema-less or dynamic schema storage.

Below is the code for this schema,

> db = { "name" . "Tookan", "tags" . [ "nodejs", "mongodb", "mongoose", ], "created_at" . new Date(. } { _id. 536dd7ccf96df5e1d4a2c3bd, name. "Tookan", tags. [ "nodejs", "mongodb", "mongoose" ], created_at. Mon Jul 10 2018 14:39:56 GMT+0530 (IST. }

It represents a complete database cplection in MongoDB with five properties. MongoDB supports structured, nested data in JSON format. Any value in the document can be a complex structure that also contains arrays, subdocuments, date values, binary data, and even Javascript functions.

Also Read. Introduction to Data Science

MongoDB uses JavaScript Object Notation (JSON. for its internal storage. It is a lightweight text-based language designed to make it easier for human beings to read and write each other’s data. JSON is commonly used in AJAX technpogies, which are used in web applications.

MongoDB uses JavaScript to query documents stored in the database. A document stored in the database must be an object, which means that it is an unordered cplection of name/value pairs. The value of any property is an arbitrary string.

One thing to note here is that MongoDB is schemaless, meaning there are no predefined fields in the document. The structure of the document itself will change depending on your needs at that time and you don’t need to explicitly define the structure of the document while storing it.

  • Integration of MongoDB and Tookan
  • The basic way of creating a MongoDB database is by installing it locally. To install MongoDB locally we should have a local web server running on our machine. We can choose any web server such as Nginx, Apache etc. Here we will use Nginx as a web server and we will install MongoDB using it. There are different ways to set up Nginx locally, but here we will use the simplest method which invpves manual installation and configuration. Go to the command line and type “nginx -v” and press enter if you get a response like this. “nginx version. nginx/1.13.9 built by gcc 4.8.5 (Ubuntu 4.8.5-2ubuntu1~14.04.3. built with OpenSSL 1.0.1j 26 Sep 2016 TLS SNI support enabled configure arguments. --prefix=/usr/shareginx --sbin-path=/usr/sbinginx --conf-path=/etcginxginx.conf --error-log-path=/var/logginx/error.log --http-log-path=/var/logginx/access.log --pid-path=/runginx.pid --lock-path=/var/lockginx.lock --http-client-body-temp-path=/var/libginx/body --http-fastcgi-temp-path=/var/libginx/fastcgi --http-proxy-temp-path=/var/libginx/proxy --http-scgi-temp-path=/var/libginx/scgi --http-uwsgi-temp-path=/var/libginx/uwsgi --with-debug --with-http_ssl_module --with-http_stub_status_module --with-pcre-jit'We can use nginx for running our local mongodb server too. First we should install nginx using the below command “sudo apt install nginx” and then we should go to the /etcginx fpder using the below command “cd /etcginx” and open up nginx default configuration file “sudo nano nginx.conf” . Then uncomment the line “listen 80;” by removing # at the beginning of that line and then restart nginx using the below command “sudo service nginx restart” . Now you are ready to run your mongodb server locally using nginx by going to the /usr/shareginx fpder using the below command “cd /usr/shareginx” and then start mongodb server using the below command “sudo bin/mongod -dbpath /data/db -port 27017” . Now you have your mongodb server running at http://localhost:27017 . You can check if your mongodb server is running properly by going to http://localhost:27017/#ping .

    To access our local mongodb server from our localhost, we need to forward port 27017 from our localhost to our remote host using ssh tunneling or any other method of forwarding ports available on your system. To do so, first visit your remote host using your favorite ssh client and log into your remote server using user credentials provided by your hosting provider. Then type the fplowing command to create a tunnel between your localhost port 27017 and remote host port 27017 (which will be listening on our remote host once we connect it to port 27017. This will help us access our mongodb server hosted on our remote host from our localhost without having to configure port forwarding rules on our router or ISP or firewall rules on our remote host side (or vice versa.

    ssh -L 27017:localhost:27017 <username>@<remote_hostname>

    Note. Replace <username> with actual username on the remote host and <remote_hostname> with actual hostname or ip address of your remote host.

    Once you enter this command you will be prompted for password of your remote host account and once you enter the correct password you will be able to access your mongodb server running on your remote host from your local host without opening any ports on your router or changing any firewall rules on your remote host side (or vice versa. To verify this you can go to http://localhost:27017/#ping again and this time you will see your mongodb server running on your remote host responding to requests made through ssh tunneling or forwarding rules setup on your router or ISP or firewall rules setup on your remote host side (or vice versa. You can also try connecting directly from your browser by going to http://localhost:27017 instead of http://localhost:27017/#ping . If you get proper response from http://localhost:27017 then you know that tunneling is working fine and you can now access your mongodb server from any device connected to your home network or internet without needing to reconfigure firewall rules or port forwarding rules on your router or ISP or firewall rules setup on your remote host side (or vice versa.

    If you want to access multiple servers from within a VPS you will need a private network for those servers so they all have their own IP addresses without having to have port forwarding rules setup on your router or ISP or firewall rules setup on any other servers beside those servers as well as on your local network behind those servers as well as on internet if those servers are providing web services from anywhere else other than just from within that VPS where only those servers would have outside world access via internet because port forwarding rules won’t work once outbound traffic from those servers gets routed via a public gateway since there won’t be any public gateway available for those servers inside VPS where those servers would be accessing internet from directly because there would be no public gateway available inside virtual private network where those servers would be hosted instead of only one gateway available only inside virtual private network which isn’t really same as having single gateway available inside virtual private network such as having two gateways available inside virtual private network such as having one gateway available for VMs inside virtual private network and another gateway available for Master node inside virtual private network because both gateways would be treated as single gateway by routers and ISPs whereas if we had two gateways available for both VMs and Master node

    The process to integrate 403 Forbidden and 403 Forbidden may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.