Connecting 1C-Bitrix to Deal.by: Automated YML Feed and Synchronization

Connecting 1C-Bitrix to Deal.by: Automated YML Feed and Synchronization

Updating prices manually on Deal.by risks bans for outdated data. Automatic integration of 1C-Bitrix solves this: the YML feed is generated every hour, prices and stock are always fresh. Pricing errors drop by 95%, and catalog update time shrinks from several hours to 15 minutes. Integration cost is calculated individually, ensuring guaranteed data accuracy. Certified 1C-Bitrix specialists with 5+ years experience. Contact us for a quick integration start.

Why YML is the Standard for Deal.by?

Deal.by accepts feeds in YML (Yandex Market Language) format — the same XML format used by Yandex.Market. This simplifies things: if a store already has a feed for Yandex.Market, the basic structure can be reused. However, Deal.by has its own requirements for additional parameters.

What Does a Deal.by Feed Look Like?

Minimum offer structure in Deal.by YML:

<offer id="12345" available="true">
  <url>https://mystore.by/catalog/product-123/</url>
  <price>149.90</price>
  <currencyId>BYN</currencyId>
  <categoryId>42</categoryId>
  <picture>https://mystore.by/img/product-123.jpg</picture>
  <name>Название товара</name>
  <vendor>Бренд</vendor>
  <description>Описание товара</description>
  <param name="Цвет">Красный</param>
</offer>

The currency for the Belarusian market is BYN (Belarusian ruble). If the Bitrix catalog is maintained in RUB or USD, the feed requires conversion at the current exchange rate. According to the National Bank of the Republic of Belarus, the official BYN exchange rate is updated daily. The agent must fetch the current rate before feed generation.

Setting Up Feed Generation on Bitrix

Bitrix does not have a built-in module for Deal.by, but the YML feed for Yandex.Market is generated by the standard module catalog.export. We adapt this approach for Deal.by. The documentation on the standard catalog.export module helps understand the basic principles.

We create a custom export handler that inherits \Bitrix\Catalog\Export\Setup. We override the following methods:

• getTemplate() — XML document template for Deal.by
• getOfferFields() — set of offer fields with infoblock property mapping

Product properties from b_iblock_element_property are mapped to <param> tags in XML. Some properties require normalization — for example, "Color: Red/red/RED" should be unified to the same case, otherwise filtering on Deal.by will work incorrectly.

Feed generation is launched by an agent once per hour (or more often for stores with rapidly changing prices). The feed is saved to upload/ with public access — Deal.by periodically retrieves it via URL.

Deliverables

• Documentation: Complete setup guide and YML feed specification.
• Access: Admin rights to the Bitrix site and Deal.by account for configuration.
• Training: One-hour online session for your employees.
• Support: 30 days post-release support for any issues.

Data Transferred

The feed includes product name, price, description, images, characteristics, and stock. Additional custom parameters can be added via <param> tags. No separate module required — we use the standard Bitrix export (catalog.export) adapted to Deal.by requirements. This simplifies maintenance and avoids extra module purchases.

Price and Stock Synchronization

For Deal.by, feed accuracy is critical: if the feed price is lower than the real one, the platform may penalize the store. Therefore:

1. The feed includes only products with non-zero stock — the available="true" tag is set via check on b_catalog_product.QUANTITY > 0.
2. Products without stock are included with available="false" — they remain in the Deal.by catalog but are marked as unavailable. This is better than complete removal: review history and rating are preserved.
3. Prices are taken from the "retail" price type (b_catalog_price with CATALOG_GROUP_ID = 1). If multi-currency is used, convert to BYN via the current NBRB rate.

Category Mapping to the Deal.by Tree

Deal.by has its own category tree. The store must map its categories to the platform's categories. This is done through the feed management section: a mapping table your_section_id → deal_by_category_id.

If mapping is not configured, products fall into the "Miscellaneous" category and are virtually unfindable through the platform's search.

Comparison of Feed Generation Approaches

Time Estimates

Cost is calculated individually after analyzing the catalog structure and current export settings.

We have over 5 years of experience in Bitrix integrations. We've completed 50+ projects for Belarusian stores. Get a consultation to evaluate your store — contact us.

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.

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.

Timelines and What's Included

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.