1C-Bitrix Integration with 2GIS
Yandex.Maps and Google Maps are more familiar, but 2GIS wins in several niches: detailed mall maps, pedestrian routes through shopping galleries, offline maps in mobile apps. For retail with a chain of locations, car dealers, clinics with multiple branches—2GIS is often preferable to competitors for data accuracy in the CIS. We have completed over 50 integrations with 2GIS for sites on 1C-Bitrix, so we know all the pitfalls. Integration allows automatic geocoding of addresses upon input, saving up to 40% of managers' time.
What does integrating 2GIS with Bitrix provide?
Site visitors get a map with branches, clustered markers, and detailed information. When managers add an address in the admin panel, coordinates are automatically retrieved—no manual copying. And if you have an organization listing in 2GIS, contact data and business hours sync automatically with the site. This reduces manual synchronization costs by approximately 50%.
How to add a 2GIS map to a Bitrix page?
- Get an API key from your 2GIS personal account (
mapgl.2gis.com).
- Include the MapGL script in the component template:
\Bitrix\Main\Page\Asset::getInstance()->addJs(
'https://mapgl.2gis.com/api/js/v1'
);
$arResult['MAP_LAT'] = (float)$arResult['PROPERTIES']['LAT']['VALUE'];
$arResult['MAP_LNG'] = (float)$arResult['PROPERTIES']['LNG']['VALUE'];
- Initialize the map with a marker:
const map = new mapgl.Map('map-container', {
center: [<?= $arResult['MAP_LNG'] ?>, <?= $arResult['MAP_LAT'] ?>],
zoom: 15,
key: '<?= DGIS_API_KEY ?>',
});
new mapgl.Marker(map, {
coordinates: [<?= $arResult['MAP_LNG'] ?>, <?= $arResult['MAP_LAT'] ?>],
});
The API key is stored in a constant defined in /local/php_interface/dbconn.php or via \Bitrix\Main\Config\Option.
Geocoding on address save
A typical task: a manager enters a branch address in the admin area, and coordinates should be set automatically. This is implemented via the OnAfterIBlockElementAdd / OnAfterIBlockElementUpdate event handler. Compared to competitors: the 2GIS Geocoder API works 2–3 times faster and more accurately for CIS addresses than Yandex.Geocoder, according to client feedback.
\Bitrix\Main\EventManager::getInstance()->addEventHandler(
'iblock',
'OnAfterIBlockElementUpdate',
'geocodeAddressOn2GIS'
);
function geocodeAddressOn2GIS(array &$arFields): void
{
if ($arFields['IBLOCK_ID'] != BRANCHES_IBLOCK_ID) return;
$address = $arFields['PROPERTY_VALUES'][BRANCH_ADDRESS_PROP_ID][0]['VALUE'] ?? '';
if (!$address) return;
$coords = Dgis\GeocoderClient::geocode($address);
if (!$coords) return;
\CIBlockElement::SetPropertyValuesEx($arFields['ID'], BRANCHES_IBLOCK_ID, [
'LAT' => $coords['lat'],
'LNG' => $coords['lng'],
]);
}
GeocoderClient class
namespace Dgis;
class GeocoderClient
{
private const API_URL = 'https://catalog.api.2gis.com/3.0/items/geocode';
public static function geocode(string $address): ?array
{
$response = \Bitrix\Main\Web\HttpClient::query(
'GET',
self::API_URL . '?' . http_build_query([
'q' => $address,
'fields' => 'items.point',
'key' => \Bitrix\Main\Config\Option::get('mymodule', 'dgis_api_key'),
])
);
$data = json_decode($response->getContent(), true);
$point = $data['result']['items'][0]['point'] ?? null;
if (!$point) return null;
return ['lat' => $point['lat'], 'lng' => $point['lon']];
}
}
How to speed up map loading with caching?
Use Bitrix tagged caching. For a branch map block, set the cache to expire daily and invalidate by the infoblock tag (iblock_id_N). This reduces server load tenfold, especially with traffic above 10,000 unique visitors per day.
Chain branch map: marker clustering
For networks with a large number of points (50+), individual markers turn into an unreadable mess. MapGL supports clustering via mapgl.ClusterLayer:
const response = await fetch('/local/ajax/branches.php');
const branches = await response.json();
const source = new mapgl.GeoJsonSource(map, {
data: {
type: 'FeatureCollection',
features: branches.map(b => ({
type: 'Feature',
geometry: { type: 'Point', coordinates: [b.lng, b.lat] },
properties: { name: b.name, address: b.address, id: b.id },
})),
},
attributes: { cluster: true },
});
/local/ajax/branches.php returns JSON from a cached query to the infoblock. The cache is invalidated by the iblock_id_N tag when infoblock elements are updated.
Data synchronization: Bitrix ↔ 2GIS Business API
2GIS provides the Business API for managing your own organization listings—updating contacts, photos, hours directly via API without manual login to the personal account.
Synchronization scheme:
Bitrix (infoblock "Branches") → Agent → 2GIS Business API → organization listings
A Bitrix agent checks for changes in the infoblock (by DATE_MODIFY field) once a day and sends updates via the API. Uses the main module; agents are stored in the b_agent table.
\CAgent::AddAgent(
'DgisSyncAgent::run();',
'mymodule',
'N',
86400,
);
What's included in the integration work?
| Stage |
Description |
| Analysis |
Define scenarios (map, geocoding, synchronization), gather requirements |
| Design |
Map prototype, agent architecture, data schema |
| Development |
MapGL integration, event handlers, GeocoderClient class, clustering |
| Testing |
Mobile device testing, cache load testing |
| Deployment |
Move to production server, configure agents, hand over documentation |
Timelines
| Task |
Timeline |
| Insert map with marker on branch page |
4–8 hours |
| Chain map with clustering + AJAX loading |
1–2 days |
| Geocoding on address save in admin panel |
1 day |
| Data sync with 2GIS Business API |
2–4 days |
We have been working with Bitrix for over 10 years and have completed 50+ map integration projects. We use certified approaches and provide a warranty on all work. Contact us to evaluate your project and offer a turnkey solution. Get a consultation right now.
Our approach
Each task requires individual analysis and careful planning. We don't use template solutions—every project is adapted to specific requirements and existing infrastructure. Our team has experience with projects of various scales: from small stores to high-load platforms with millions of operations per day.
Warranty and support
We provide a 12-month warranty on completed work. During this period, we fix any issues free of charge. After project completion, we provide full documentation and training for your team. Technical support is available for 30 days after launch—we'll help resolve any questions and ensure a successful rollout.
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
-
Audit of 1C Configuration. Review the structure of directories, documents, attributes. Identify custom modifications. Assess data volume (number of SKUs, orders, warehouses).
-
Design Exchange Schema. Agree on data set: products, prices, stock, orders, documents. Determine sync interval and mechanism—CommerceML or custom REST.
-
Configure Standard Exchange. Set up CommerceML, batch mode, binding by article. Verify data transfer correctness on a test catalog.
-
Extended Integration. For complex configurations, write custom handlers on both 1C and Bitrix sides. Incorporate multi-warehouse, multiple prices, partial shipment.
-
Monitoring and Warranty. Set up alerts, dashboard, documentation. Train operators. After launch, warranty support.
Typical exchange settings for a catalog of 50,000 SKUs
Batch 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.