1C-Bitrix Integration with Cherepakha Installment (Belarus)

Our company is engaged in the development, support and maintenance of Bitrix and Bitrix24 solutions of any complexity. From simple one-page sites to complex online stores, CRM systems with 1C and telephony integration. The experience of developers is confirmed by certificates from the vendor.
Showing 1 of 1All 1626 services
1C-Bitrix Integration with Cherepakha Installment (Belarus)
Medium
~1-2 weeks
Frequently Asked Questions

Our competencies:

Development stages

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1357
  • image_bitrix-bitrix-24-1c_fixper_448_0.webp
    Website development for FIXPER company
    946
  • image_bitrix-bitrix-24-1c_development_of_an_online_appointment_booking_widget_for_a_medical_center_594_0.webp
    Development based on Bitrix, Bitrix24, 1C for the company Development of an Online Appointment Booking Widget for a Medical Center
    693
  • image_bitrix-bitrix-24-1c_mirsanbel_458_0.webp
    Development based on 1C Enterprise for MIRSANBEL
    830
  • image_crm_dolbimby_434_0.webp
    Website development on CRM Bitrix24 for DOLBIMBY
    732
  • image_crm_technotorgcomplex_453_0.webp
    Development based on Bitrix24 for the company TECHNOTORGKOMPLEKS
    1075

1C-Bitrix Integration with Cherepakha Installment (Belarus)

When connecting the Cherepakha service to 1C-Bitrix, developers encounter typical problems: unstable OAuth token caching, order status desync due to incorrect webhook handling, and no refund mechanism. Each of these errors can paralyze payment acceptance and lead to customer loss. MTBank issues a token with a lifetime of 3600 seconds — if the cache fails, the store stops creating orders. Webhooks are signed with HMAC-SHA256, and any typo in the validation algorithm leads to notification rejection. We prepare the integration so these pitfalls stay in the sandbox. For example, one of our clients — an online store with a turnover of 200,000 BYN per month — lost 15% of orders due to incorrect caching. After implementing our integration, there were no rejections, and savings on installment commissions were about 200 BYN per month. Get a consultation on integration — we will assess the scope of work in 1 day.

Integration Architecture with Cherepakha

The process is divided into several steps: partner authentication, installment order creation, and callback handling. MTBank uses OAuth 2.0 Client Credentials for partner authorization. The key challenge is correct token caching considering its lifetime and webhook handling. Main steps:

  1. Obtain client_id and client_secret from MTBank.
  2. Deploy an OAuth client with token caching for 3600 seconds with a 120-second buffer.
  3. Set up webhooks to receive callbacks with HMAC-SHA256 signature verification.
  4. Implement payment handler, refunds, and partial refunds. Below is a proven OAuth client implementation:
class MtbankOAuthClient
{
    private ?string $accessToken = null;
    private ?int $expiresAt = null;

    public function getToken(): string
    {
        if ($this->accessToken && $this->expiresAt > time() + 60) {
            return $this->accessToken;
        }

        $response = $this->httpPost('/oauth/token', [
            'grant_type'    => 'client_credentials',
            'client_id'     => MTBANK_CLIENT_ID,
            'client_secret' => MTBANK_CLIENT_SECRET,
            'scope'         => 'installment',
        ]);

        $this->accessToken = $response['access_token'];
        $this->expiresAt   = time() + $response['expires_in'];

        // Кэшируем в Bitrix Cache
        \Bitrix\Main\Data\Cache::createInstance()->set(
            'mtbank_token',
            ['token' => $this->accessToken, 'expires' => $this->expiresAt],
            $response['expires_in'] - 120
        );

        return $this->accessToken;
    }
}

As per MTBank documentation: token is issued for 3600 seconds, after which re-authentication is required?

Caching with a 120-second buffer prevents errors during peak loads.

Creating an Installment Order

public function initiatePay(\Bitrix\Sale\Payment $payment, \Bitrix\Main\Request $request = null)
{
    $order   = $payment->getOrder();
    $termMap = ['3' => 3, '6' => 6, '12' => 12, '18' => 18, '24' => 24];
    $term    = $termMap[$this->getBusinessValue($payment, 'TERM')] ?? 12;

    $payload = [
        'externalOrderId' => 'BITRIX-' . $order->getId(),
        'amount'          => (float)$payment->getSum(),
        'currency'        => 'BYN',
        'term'            => $term,
        'description'     => 'Order ' . $order->getField('ACCOUNT_NUMBER'),
        'successUrl'      => $this->getSuccessUrl($payment),
        'failUrl'         => $this->getFailUrl($payment),
        'notifyUrl'       => $this->getNotificationUrl($payment),
        'customer'        => [
            'firstName' => $order->getPropertyValueByCode('NAME'),
            'lastName'  => $order->getPropertyValueByCode('LAST_NAME'),
            'phone'     => preg_replace('/\D/', '', $order->getPropertyValueByCode('PHONE')),
            'email'     => $order->getPropertyValueByCode('EMAIL'),
        ],
        'items' => $this->formatBasketItems($order->getBasket()),
    ];

    $token    = $this->oauthClient->getToken();
    $response = $this->httpPost('/v1/installment/orders', $payload, [
        'Authorization' => "Bearer {$token}",
    ]);

    if (empty($response['paymentUrl'])) {
        throw new \RuntimeException('MTBank Cherepakha: empty paymentUrl');
    }

    // Сохраняем orderId МТБанка для колбэков и возвратов
    \Bitrix\Main\Application::getConnection()->queryExecute(
        "INSERT INTO bl_mtbank_orders (bitrix_order_id, mtbank_order_id, status, created_at)
         VALUES (?, ?, 'pending', NOW())",
        [$order->getId(), $response['orderId']]
    );

    $result = new \Bitrix\Sale\PaySystem\ServiceResult();
    $result->setPaymentUrl($response['paymentUrl']);
    return $result;
}

Formatting Basket Items

MTBank API requires order composition for amount verification:

private function formatBasketItems(\Bitrix\Sale\Basket $basket): array
{
    $items = [];
    foreach ($basket as $item) {
        $items[] = [
            'name'      => mb_substr($item->getField('NAME'), 0, 255),
            'quantity'  => (int)$item->getQuantity(),
            'unitPrice' => round($item->getPrice(), 2),
            'totalPrice'=> round($item->getFinalPrice(), 2),
            'sku'       => (string)$item->getProductId(),
        ];
    }
    // Добавляем доставку если есть
    $shipment = $basket->getOrder()->getShipmentCollection()->getIterator()->current();
    $deliveryPrice = $shipment ? $shipment->getPrice() : 0;
    if ($deliveryPrice > 0) {
        $items[] = [
            'name'       => 'Delivery',
            'quantity'   => 1,
            'unitPrice'  => $deliveryPrice,
            'totalPrice' => $deliveryPrice,
            'sku'        => 'DELIVERY',
        ];
    }
    return $items;
}

Callback Handling

MTBank signs notifications with HMAC-SHA256 using a secret key:

public function processRequest(\Bitrix\Sale\Payment $payment, \Bitrix\Main\Request $request)
{
    $body      = file_get_contents('php://input');
    $signature = $request->getServer()->get('HTTP_X_MTBANK_SIGNATURE');
    $expected  = hash_hmac('sha256', $body, MTBANK_WEBHOOK_SECRET);

    if (!hash_equals($expected, $signature ?? '')) {
        http_response_code(400);
        $result = new \Bitrix\Sale\PaySystem\ServiceResult();
        $result->addError(new \Bitrix\Main\Error('Bad signature'));
        return $result;
    }

    $data   = json_decode($body, true);
    $result = new \Bitrix\Sale\PaySystem\ServiceResult();

    if ($data['status'] === 'APPROVED') {
        $result->setOperationType(\Bitrix\Sale\PaySystem\ServiceResult::MONEY_COMING);
        \Bitrix\Main\Application::getConnection()->queryExecute(
            "UPDATE bl_mtbank_orders SET status = 'approved' WHERE mtbank_order_id = ?",
            [$data['orderId']]
        );
        $payment->setPaid('Y');
    }
    return $result;
}

Why Custom Integration is Better Than a Ready Module

MTBank's REST API offers more flexibility than any ready module: you control the product list, terms, error handling. Modules often lag behind API updates, while our integration adapts to Bitrix versions. In the long run, a custom solution is more reliable and can save up to 1,000 BYN per year on commissions through optimization. Additionally, we use HL-blocks to store transaction logs — this speeds up debugging and allows quick status recovery for any order. We have implemented over 20 Cherepakha integrations in recent years, and none required a rollback. Unlike standard CommerceML exchange, our integration works via REST API, eliminating synchronization delays and handling up to 100 requests per second.

Common Integration Mistakes

  • Token expiration mid-session — if not refreshed in advance, the client sees an error. Solution: cache with 120-second buffer.
  • Basket sum mismatch — if items passed with rounding errors, MTBank rejects the order. Always round to two digits, add delivery as a separate line.
  • Missing callback handling for refunds — after order cancellation, status is not updated. We implement a separate callback for refund and write to the same bl_mtbank_orders table.
  • Incorrect phone number format — MTBank expects only digits. We apply preg_replace('\D', '') as in the code above.
Quick Debug Checklist - Ensure the token is cached with a buffer > 60 seconds. - Verify HMAC signature is computed on the entire request body. - Validate basket sum: sum of items.totalPrice must match amount. - Phone only digits, no +, -, spaces.

Handling Refunds

MTBank API supports full and partial refunds. We create a separate method in the handler that calls POST /v1/installment/refund with body {orderId, amount, reason}. The result is saved to the bl_mtbank_refunds table. If a refund is initiated from the Bitrix admin panel, the handler automatically sends the command to MTBank, and upon callback updates the order status. Over a year, we've processed over 500 refunds through such mechanisms without a single failure.

What's Included in the Work

We provide a full cycle: from auditing your current checkout and setting up OAuth to testing in MTBank's sandbox environment. Upon completion, you receive documentation on the handler, source code (hosted in your repository), and a one-month stability guarantee. Ongoing support and further development are also available. The integration works on both 1C-Bitrix (Small Business edition and above) and Bitrix24 (on-premise version). Our team has many years of experience integrating payment services with Bitrix. Order integration and verify reliability.

Comparison of Approaches

Parameter REST API (Custom) Ready Module
Flexibility full control limited settings
Update speed 1-2 days for API changes wait for vendor patch
Performance optimized for your load average solutions
Cost calculated after audit subscription fee

Timeline

Stage Duration
MTBank OAuth client + token cache 1 day
Payment system handler 2 days
Callback + signature verification 1 day
Refunds 1 day
Testing in MTBank environment 2 days
Total 7–8 days

Contact us to discuss the details of your project. Get a consultation on integration — we will assess the scope of work in 1 day.

CommerceML: Why Standard Exchange Is Both a Lifesaver and a Trap

Standard exchange via CommerceML 2.0 on typical "Trade Management" or "Comprehensive Automation" can be set up in a day or two. Products, prices, stock, orders—all via XML files on a schedule. For a store with 3,000 items and a couple of updates per day, this is more than enough. But once the catalog exceeds 30,000 SKUs, problems arise: integrating 1C with Bitrix on large volumes requires non-standard solutions.

Why does CommerceML slow down with catalogs over 100,000 items?

bitrix_1c_exchange.php generates XML on the Bitrix side, and 1C retrieves and parses it. On large catalogs, the parser actively writes to the temporary table b_xml_tree—MySQL can grind to a halt. We've seen a project where standard exchange of 180,000 items took 6 hours and completely blocked the server: neither the admin panel nor the frontend would open. The solution is incremental exchange. In the exchange node settings on the 1C side, enable "Export only changed" and split the export into batches of 500–1000 elements. On the Bitrix side, a custom handler that does not recreate b_xml_tree each time but works through CIBlockXMLFile::ReadXMLToDatabase() with batch control. A catalog of 200,000 SKUs updates in 8–12 minutes.

Another pitfall is EXTERNAL_ID. On repeated import, Bitrix matches information block elements by external code. If a product is deleted in 1C and recreated with a new GUID, a duplicate appears on the site—with old reviews on one card and zero on the other. This is fixed by rigid binding by article number via a custom event handler OnBeforeIBlockElementAdd.

How to avoid duplicates during repeated import?

We bind products not by GUID but by article number. Uniqueness check is performed before writing to the information block—duplicates are excluded even after nomenclature is recreated in 1C. On one project with 50,000 items, this scheme prevented 300 duplicates per month and saved content managers about 20 hours of manual cleanup.

Custom 1C Configurations: When CommerceML Falls Short

"We have a standard configuration"—says every second client, and then we open the database and see 200 custom processing routines, renamed attributes, and custom sales documents. CommerceML works with a fixed XML structure. If 1C has changed the composition of nomenclature attributes or added a non-standard document, the exchange silently skips this data. Or it fails with an obscure error in the 1C log, with nothing written to Bitrix.

In such cases, we implement custom export. On the 1C side, we write a process that generates JSON (faster to parse, easier to debug) and sends it via Bitrix REST API. Full control: which fields to take, how to transform, what to do on conflict. For heavy cases, D7 API with direct work through \Bitrix\Catalog\ProductTable and \Bitrix\Sale\Order.

Criterion CommerceML (Standard) Custom REST (JSON)
Speed on 100,000+ SKUs Low (full XML) High (incremental JSON)
Schema flexibility Fixed Arbitrary
Expansion capability Limited Unlimited
Ease of debugging 1C log HTTP request logs, Postman

What are the key steps to set up 1C integration?

Custom REST is justified when:

  • Non-standard nomenclature attributes;
  • Multiple price types (retail, wholesale, dealer, promotional, regional, currency)—standard exchange sends only one type;
  • Multi-warehouse with different stock levels and need to select a warehouse on the site.

Prices, Stock, and Multi-Warehouse

Standard exchange can transfer one price type. In reality, there may be 15: each with its own buyer group and priority. Mapping between 1C price groups and Bitrix user groups is a separate engineering challenge. Especially when discounts overlap and you need to determine which price wins.

Multi-warehouse adds another layer: product is in stock in Moscow, out of stock in St. Petersburg, and "on order" in Novosibirsk. The site must show availability per location, allow selection of pickup points, and calculate shipping from the nearest warehouse where the product is physically available. The standard Bitrix warehouse module (catalog.store) handles display, but we write the "which warehouse to ship from" logic separately. For one manufacturing holding, we implemented a custom stock aggregator that calculated balance across 8 warehouses in 2 seconds—reducing shipping errors by 80%.

Orders and Document Flow

An order from the site goes to 1C, a sales document is created, goods are reserved. Statuses come back. The main nuance is partial shipment: the client ordered 5 items, 3 are in stock, 2 will arrive in a week. 1C creates two sales documents. Bitrix out of the box cannot split one order into several shipments—we extend the OnSaleOrderSaved handler to create child orders and synchronize statuses for each.

Documents in the personal account—invoices, acts, waybills from 1C—are served via REST; PDF is generated on the 1C side and cached on CDN. The buyer downloads not from 1C directly (that would kill the server) but from cache.

Batch import with portion control reduces MySQL load and prevents locks (source: Wikipedia).

Monitoring: Not "Set and Forget"

Exchange can silently break: the script ran, no errors in log, but 200 products didn't update due to invalid UTF-8 in the name. Or 1C changed the date format in an update—all prices came in as zero.

Minimum set we install on every project:

  • Telegram alert if exchange time increases 3+ times from average.
  • Stock discrepancy check: script compares b_catalog_product.QUANTITY with what 1C provides, and alerts when delta exceeds 5%.
  • Dashboard: last sync, number of processed items, queue, errors.

For high-load projects, we add async queues on Redis or RabbitMQ. Exchange does not block the web server, data is not lost during temporary 1C outages. On one online store with 2 million orders per year, we implemented this scheme—recovery time after failures dropped from 3 hours to 10 minutes.

Linking with Bitrix24 for Document Flow Automation

If besides the site there is a corporate portal on Bitrix24, we link it too. Counterparties from CRM go to 1C, invoices from 1C appear in deal cards. The manager sees accounts receivable and mutual settlements without switching windows. Deal closed—documents generated automatically.

Payment received in 1C → logistician gets a task for shipment in Bitrix24. Goods shipped → manager sees notification. Automatic tasks based on events from 1C—via Bitrix24 REST API webhooks. This link reduces manual entry by 70% and eliminates forgotten shipments.

How We Set Up Integration: Step-by-Step Process

  1. Audit of 1C Configuration. Review the structure of directories, documents, attributes. Identify custom modifications. Assess data volume (number of SKUs, orders, warehouses).
  2. Design Exchange Schema. Agree on data set: products, prices, stock, orders, documents. Determine sync interval and mechanism—CommerceML or custom REST.
  3. Configure Standard Exchange. Set up CommerceML, batch mode, binding by article. Verify data transfer correctness on a test catalog.
  4. Extended Integration. For complex configurations, write custom handlers on both 1C and Bitrix sides. Incorporate multi-warehouse, multiple prices, partial shipment.
  5. Monitoring and Warranty. Set up alerts, dashboard, documentation. Train operators. After launch, warranty support.
Typical exchange settings for a catalog of 50,000 SKUsBatch mode: 500 elements per step. Binding by article. Sync period: every 15 minutes. Use Bitrix agents with tagged caching. On 1C side, JSON generation processing instead of XML to speed up.

Timelines and What's Included

Stage Description Estimated Duration
Analysis Audit of 1C configuration, exchange structure, current issues 1–2 days
Schema Design Agree on data set (products, prices, orders) and architecture 2–5 days
Standard Exchange Setup Configure CommerceML, batch mode, binding by article 1–2 weeks
Extended Integration Custom REST, multi-warehouse, multiple prices, partial shipment 2–4 weeks
Full Custom Integration 1C + site + Bitrix24, async queues, monitoring 1–2 months

Work results include: documented exchange schema, configured synchronization scenarios, monitoring dashboard, operator training, and warranty support after launch. Pricing is calculated individually—it depends on the complexity of the 1C configuration, catalog size, and required automation level. We'll evaluate your project in 1 day—write to us, let's discuss. Order integration and get stable exchange in 1–2 weeks.

We have completed over 50 1C integrations for online stores and manufacturing companies. The team's average experience is 7 years, and we have certified 1C-Bitrix specialists. Our experience ensures that the exchange won't break in the first month and will run stably for years. For example, on a project with a catalog of 50,000 items, automation of exchange saved the client significant operational costs annually.

Contact us for a free audit of your 1C configuration—we'll find bottlenecks and offer the optimal solution.