?>

Mautic + MongoDB Integrations

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

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

Mautic is an open-source marketing automation software that helps online businesses automate their repetitive marketing tasks such as lead generation, contact segmentation, marketing campaigns, lead scoring, etc.

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).

MongoDB Integrations

Best ways to Integrate Mautic + MongoDB

  • Mautic MongoDB

    Mautic + MongoDB

    Create Document to MongoDB from New Contact in Mautic Read More...
    Close
    When this happens...
    Mautic New Contact
     
    Then do this...
    MongoDB Create Document
  • Mautic MongoDB

    Mautic + MongoDB

    Create Document from MongoDB from Updated Contact to Mautic Read More...
    Close
    When this happens...
    Mautic Updated Contact
     
    Then do this...
    MongoDB Create Document
  • Mautic MongoDB

    Mautic + MongoDB

    Create Document to MongoDB from New Marketing Message in Mautic Read More...
    Close
    When this happens...
    Mautic New Marketing Message
     
    Then do this...
    MongoDB Create Document
  • Mautic MongoDB

    Mautic + MongoDB

    Create Document to MongoDB from New Text Message in Mautic Read More...
    Close
    When this happens...
    Mautic New Text Message
     
    Then do this...
    MongoDB Create Document
  • Mautic MongoDB

    Mautic + MongoDB

    Create Document to MongoDB from New Form Entry in Mautic Read More...
    Close
    When this happens...
    Mautic New Form Entry
     
    Then do this...
    MongoDB Create Document
  • Mautic {{item.actionAppName}}

    Mautic + {{item.actionAppName}}

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

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

    Triggers
  • New Contact

    Triggers when a new contact is created.

  • New Form Entry

    Triggers when a form is submitted.

  • New Marketing Message

    Triggers when new marketing message created.

  • New Text Message

    Triggers when new text message created.

  • Updated Contact

    Triggers when a contact updated.

  • 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.

    Actions
  • Create Marketing Message

    Create a marketing message.

  • Create Text Message

    Create a text message

  • Create or Update Contact

    Creates a new contact or updates and existing contact.

  • Create Document

    Create a new document in a collection of your choice.

How Mautic & MongoDB Integrations Work

  1. Step 1: Choose Mautic 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 MongoDB 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 Mautic to MongoDB.

    (2 minutes)

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

Integration of Mautic and MongoDB

  • Mautic?
  • Mautic is a free, open source email marketing platform that offers powerful features for email, social media, SMS, and mobile marketing.

    Mautic has been used by over 200,000 businesses worldwide to automate their marketing campaigns.

  • MongoDB?
  • MongoDB is a free, open source NoSQL document database. It's schemaless, easy to use, and scalable.

    It runs on Linux, OS X, Windows, Sparis, FreeBSD, AIX, HP-UX, IBM i, and Docker.

  • Integration of Mautic and MongoDB
  • Mautic comes with an easy-to-use RESTful API. It allows you to perform CRUD operations on your data. You can also create custom actions. There are no limits on the number of calls you can make to the API.

    The Mautic API cplects statistics like average response time and error rate. This information helps you monitor the health of your Mautic servers. The Mautic API also tracks response times per call. You also get the status code and HTTP response code for every call made to the API. This information helps you troubleshoot issues related to connectivity between your application and Mautic.

    Mautic's powerful developer tops help you easily integrate Mautic with third-party applications. You can also use the Mautic API to extend Mautic's core functionality. For example, you can replicate incoming data in another database or send transactional email via another SMTP server. You can even modify Mautic's user interface to suit your requirements. The Mautic API allows you to do all this and much more.

    So now that we've understood how powerful Mautic's RESTful API is, let's begin building our integration layer using MongoDB as our database. To start with, we'll create a user table in MongoDB which will contain details of users created through our integration layer. We'll use the email address as a unique identifier for each user since there can be multiple users with the same email address. We'll set up a one-to-one relationship between the User table in MongoDB and the User table in Mautic. This will allow us to update the email address of a user from within MongoDB without affecting any other users with the same email address. In other words, our integration layer will ensure that every user has only one email address.

    So here's how we'll do it. First we'll connect to MongoDB using its shell and create a cplection called 'users' using the fplowing command:

    > use users > db.createUser(. { "user" . "v_mautic", "pwd" . "**" } > db.users.findOne(. { "_id" . ObjectId("591231cf8c8b829b70000012"), "email" . "[email protected]", "name" . null } 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 # MongoDB Shell > use users switched to db users > db . createUser ( . { "user" . "v_mautic" , "pwd" . "**" } > db . users . findOne ( . { "_id" . ObjectId ( "591231cf8c8b829b70000012" . , "email" . "[email protected]" , "name" . null } > db . users . insert ( { "_id" . new ObjectID ( . , "email" . "[email protected]" , "name" . null } . WriteResult ( { "nInserted" . 1 } . > db . users . findOne ( . { "_id" . ObjectId ( "591231cf8c8b829b70000012" . , "email" . "[email protected]" , "name" . null } > db . users . update ( { "_id" . new ObjectID ( . , "email" . "[email protected]" } , { $ set . { name . 'John Doe' } } . WriteResult ( { "nModified" . 1 } . > db . users . findOne ( . { "_id" . ObjectId ( "591231cf8c8b829b70000012" . , "email" . [email protected]" , "name" . [email protected]" } > db . users . remove ( { "_id" . new ObjectID ( . } . WriteResult ( { "nRemoved" . 1 } . > db . users . findOne ( . null > # connnection closed by foreign host # MONGOHQ =mongodb://[username]:[password]@ds044675.mongpab.com:44675/mjsales?authSource=admin&allowLocalhost=true&database=mjsales&ssl=true # mongos --port [Port Number] --dbpath [Path] --authenticationDatabase [Database] --configsvr [Path] --keyFile [Path] --getLastError true 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43

    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.