What DataForSEO Is Known For
DataForSEO is a broad SERP and search-data platform with merchant data as one product among many. kwery is built only for marketplace price and offer data: one unified schema across 12 marketplaces, product matching by GTIN, ASIN or source ID, and per-record trust and observation provenance.
A broad SEO and search-data platform that also exposes Google Shopping and Amazon ecommerce endpoints alongside SERP, keyword and backlink datasets.
Breadth of Datasets
SERP, keyword, backlink, business and content datasets in one platform with a consistent API style.
Commerce Endpoints
Google Shopping and Amazon endpoints that return product and offer information from those surfaces.
Task-Based API
A consistent task submission and retrieval model across a large number of endpoints.
Scale and Cost Efficiency
Designed for high-volume search data collection at predictable per-task pricing.
Where the Products Overlap
A fair comparison starts with the shared ground. Both products are used for the following, which is why they appear in the same evaluation at all. Below the shared band, the ledger shows where the two designs diverge.
Where they overlap
Where they diverge
What the product is
A broad search and SEO data platform
A marketplace price-data API
Google Shopping
Yes
Yes
Amazon
Yes
Yes
Idealo
No
Yes
Walmart
Not offered
Yes
What the product is
DataForSEO
A broad search and SEO data platform
kwery
A marketplace price-data API
Google Shopping
DataForSEO
Yes
kwery
Yes
Amazon
DataForSEO
Yes
kwery
Yes
Idealo
DataForSEO
No
kwery
Yes
Walmart
DataForSEO
Not offered
kwery
Yes
Do You Need Search Data or Marketplace Data?
DataForSEO's commerce endpoints sit inside a platform whose centre of gravity is search intelligence. That is a genuine advantage when the application already consumes SERP and keyword data and marketplace results are one more dataset in the same account and the same API style.
kwery covers fewer surfaces and returns more with each one. Every reading carries the matched product, the complete offer set, data-health flags, the source and timestamp, and what changed since last time, because it is built for an automated pricing or analytics system rather than an analyst.
If marketplace data is a supporting dataset in a search product, breadth usually wins. If marketplace data is the input an automated system prices against, what arrives with each record usually wins.
Architecture
Platform breadth ←→ Marketplace depth
DataForSEO
Search platform with commerce endpoints
kwery
One API, one response format
Both paths deliver marketplace data. They differ in what your application receives and what it still has to model.
If the underlying layers are still unclear, the marketplace data infrastructure guide describes what sits between a marketplace and a production record.
How DataForSEO and kwery Compare
Each row is either a shared capability, a genuine strength of the other product, or a kwery capability the other product does not document. Verify every row against current documentation during evaluation.
- 01
What the product is
DataForSEO
A broad search and SEO data platform
kwery
A marketplace price-data API
- 02
Google Shopping
DataForSEO
Yes
kwery
Yes
- 03
Amazon
DataForSEO
Yes
kwery
Yes
- 04
Idealo
DataForSEO
No
kwery
Yes
- 05
Walmart
DataForSEO
Not offered
kwery
Yes
- 06
Otto, Kaufland, Lidl
DataForSEO
No
kwery
Yes
- 07
SERP and SEO data
DataForSEO
Yes, a major strength
kwery
No, out of scope
- 08
Pay-as-you-go
DataForSEO
Yes
kwery
Subscription plus usage
- 09
Can you trust the data?
DataForSEO
Not offered, the response carries the data, not a confidence signal
kwery
A trust score and data-health flags come back with every record
- 10
Same fields across sources
DataForSEO
Each data product keeps its own field names
kwery
Every source returns the same fields
- 11
Built for feeding a pricing system
DataForSEO
Possible, with your own normalization layer in between
kwery
What the API is designed for
| Dimension | DataForSEO | kwery |
|---|---|---|
| What the product is | A broad search and SEO data platform | A marketplace price-data API |
| Google Shopping | Yes | Yes |
| Amazon | Yes | Yes |
| Idealo | No | Yes |
| Walmart | Not offered | Yes |
| Otto, Kaufland, Lidl | No | Yes |
| SERP and SEO data | Yes, a major strength | No, out of scope |
| Pay-as-you-go | Yes | Subscription plus usage |
| Can you trust the data? | Not offered, the response carries the data, not a confidence signal | A trust score and data-health flags come back with every record |
| Same fields across sources | Each data product keeps its own field names | Every source returns the same fields |
| Built for feeding a pricing system | Possible, with your own normalization layer in between | What the API is designed for |
Verify each row against current documentation during evaluation. Last verified: September 2026.
What Comes Back With Each Record
Both products return prices and offers. The rows below show what else is attached to a record when it reaches your system, and which side provides it.
Coverage
Which marketplaces can I read?
BothDataForSEO
Google Shopping and Amazon inside a broad SEO and SERP platform
kwery
Amazon, Google Shopping, Idealo, eBay, Walmart, Otto, Kaufland and further supported sources
Google Shopping and Amazon inside a broad SEO and SERP platform
Amazon, Google Shopping, Idealo, eBay, Walmart, Otto, Kaufland and further supported sources
Collection
Who runs the retrieval?
BothDataForSEO
Managed retrieval through task-based endpoints
kwery
Managed retrieval from the requested marketplace
Managed retrieval through task-based endpoints
Managed retrieval from the requested marketplace
Product matching
Is this the right product?
kwery onlyDataForSEO
Lookups are keyword, ASIN or URL based; no barcode (GTIN) matching documented
kwery
Give a barcode (GTIN/EAN), ASIN or marketplace ID and get the matching product on that marketplace, with a match confidence
Lookups are keyword, ASIN or URL based; no barcode (GTIN) matching documented
Give a barcode (GTIN/EAN), ASIN or marketplace ID and get the matching product on that marketplace, with a match confidence
How the data reaches your system
How does the answer reach my system?
kwery onlyDataForSEO
Asynchronous task queue: submit, wait, then collect the result
kwery
Synchronous response for single lookups with wait; batches run as jobs, with optional webhook push
Asynchronous task queue: submit, wait, then collect the result
Synchronous response for single lookups with wait; batches run as jobs, with optional webhook push
Response format
Does one integration read every source?
kwery onlyDataForSEO
Each data product has its own field names
kwery
The same response format for every source
Each data product has its own field names
The same response format for every source
Can you trust the data?
Should my system act on this price?
kwery onlyDataForSEO
Not offered, the response carries the data, not a confidence signal
kwery
A trust score and data-health flags come back with every record
Not offered, the response carries the data, not a confidence signal
A trust score and data-health flags come back with every record
Where the data came from
Can I see where and when this was collected?
kwery onlyDataForSEO
Not offered, no source, method or timestamp details documented
kwery
Every record says which source, which country, how it was collected and when
Not offered, no source, method or timestamp details documented
Every record says which source, which country, how it was collected and when
What changed since last time
What changed since the last reading?
kwery onlyDataForSEO
Compared downstream from stored task results
kwery
A structured change record when the next reading differs from the previous one
Compared downstream from stored task results
A structured change record when the next reading differs from the previous one
Application layer
Where does the pricing logic live?
BothDataForSEO
None, the pricing logic stays in your systems
kwery
None, the pricing logic stays in your systems
None, the pricing logic stays in your systems
None, the pricing logic stays in your systems
SEO and SERP scope
What can I read beyond marketplaces?
DataForSEO onlyDataForSEO
Major strength: search, SERP, keyword and backlink data
kwery
Not offered, marketplace data only
Major strength: search, SERP, keyword and backlink data
Not offered, marketplace data only
Design emphasis, not quality ranking
How Price and Offer Changes Are Detected
kwery discovers a change when the next reading differs from the previous one and sends a structured change record through the configured delivery workflow, a real difference between two readings, not a platform alert.
DataForSEO's task queue returns a completed task's results; comparing today's task output with yesterday's, and classifying what moved, is downstream work in your warehouse.
Detected Change Event
- Observation T1€129,90
- Marketplace changesunknown
- Observation T2€119,90
kwery detects
€129,90 → €119,90
kwery discovers a change when the next marketplace observation differs from the previous one. It does not know the exact instant the marketplace changed. The structured delta is then emitted through the configured delivery workflow.
Compare Cost per Usable Dataset, Not Cost per Credit
The comparable figure is what each side charges for one complete SKU dataset.
How we compare cost per datasetDataForSEO’s unit
Variable3
tasks per complete SKU dataset
- Search1 task, products by keyword
- Product detail1 task, product_info or asin
- Sellers1 task, the offer list
- DeliveryAsynchronous task queue only
kwery’s unit
Fixed1
credit per complete SKU dataset, everything included
- 1 creditper SKU × source × fresh fetch
- Includedmatching, product data and offers
- Cache hitsno additional credit
- Rolloverunused paid credits while active
On Amazon, Walmart and eBay, one kwery credit covers 2 complete SKU datasets (search + product + offers, matched, each). All other sources: one credit, one complete SKU dataset.
Billing unit
- DataForSEO
- Cost is per task and varies by endpoint and priority. A complete product view combines a search task, a product-detail task and a sellers task, so three tasks are consumed per SKU.
- kwery
- One credit per complete SKU dataset: one SKU, one source, fetched fresh. Matching the product, the product data and the offers are all included. On Amazon, Walmart and eBay, one credit covers 2 complete SKU datasets (search + product + offers, matched, each).
Count the tasks needed to assemble one complete SKU dataset before comparing per-task prices with one kwery credit.
kwery charges one unit for one complete SKU dataset: no separate matching step, no separate lookup, no per-endpoint stacking, so the cost of an integration can be calculated before it is built.
What One Complete Dataset Costs
The steps below are drawn from publicly available documentation and should be verified against current documentation during evaluation.
Find the product
DataForSEO
1 task, Google Shopping products or Amazon products by keyword; a GTIN cannot be submitted for matching
kwery
Included, barcode, ASIN or marketplace ID matched in the same call
Find the product
1 task, Google Shopping products or Amazon products by keyword; a GTIN cannot be submitted for matching
Included, barcode, ASIN or marketplace ID matched in the same call
Product detail
DataForSEO
1 task, product_info (Google Shopping) or asin (Amazon)
kwery
Included in the same call
Product detail
1 task, product_info (Google Shopping) or asin (Amazon)
Included in the same call
Seller offers
DataForSEO
1 task, sellers endpoint
kwery
Included in the same call
Seller offers
1 task, sellers endpoint
Included in the same call
Collect the result
DataForSEO
Poll or receive the task callback after the queue completes
kwery
Synchronous single lookups with wait; batch jobs with optional webhook push
Collect the result
Poll or receive the task callback after the queue completes
Synchronous single lookups with wait; batch jobs with optional webhook push
One complete SKU dataset
DataForSEO
3 tasks
kwery
1 credit
One complete SKU dataset
3 tasks
1 credit
Task counts follow DataForSEO's documented Merchant API workflow for Google Shopping (products, product_info, sellers) and Amazon (products, asin, sellers). Per-task prices differ between the standard and priority queues and are not reproduced here, verify current rates against DataForSEO's pricing page. Access is deposit-based rather than subscription-based, which suits irregular or exploratory volume.
When DataForSEO or kwery Is the Better Fit
Neither option is the general answer. The requirement decides, and the requirement is usually clearer than the feature comparison.
DataForSEO may fit better when
- ecommerce data is one component of a much broader SEO and SERP stack
- SERP, keyword or backlink datasets are needed in the same account
- pay-as-you-go entry without a subscription is preferred
- Amazon and Google Shopping already cover the required sources
- products are looked up by keyword, ASIN or URL rather than by barcode
kwery may fit better when
- a GTIN or EAN is the input and a matched product record is the expected output
- marketplace price data feeds an automated pricing or repricing engine
- a synchronous response for single lookups is needed rather than a queued task
- Idealo, Otto, Kaufland, Lidl or eBay are part of the requirement
- data-health flags must come back with every record
- source-and-timestamp details and change records matter downstream
- one API for every source is the integration goal
Before You Switch
A provider migration is not only an API-key change. These considerations are specific to moving between DataForSEO and kwery:
Tasks Become One Request
Several endpoint tasks usually collapse into one request per SKU and source. Map what your application actually reads before comparing volumes.
Keep the Search Layer
Most teams keep search datasets where they are and move only the marketplace pricing path, so the two systems coexist.
Fields Mean Different Things
Google Shopping fields and marketplace fields answer different questions. Confirm the concepts match before mapping keys.
General migration checklist
- Identifier Compatibility
- Can existing GTINs, EANs, UPCs, ASINs or source URLs be reused as request inputs?
- Schema Migration
- Which fields change name, type or meaning, and which consumers read them today?
- Source Parity
- Are all required marketplaces and countries available on both sides of the move?
- Freshness Semantics
- Does "fresh" mean the same thing in both systems, and does every record carry a collection timestamp?
- Offer Modeling
- Are seller, shipping and availability represented in equivalent ways?
- History
- Will historical records need to remain in the existing system, and for how long?
- Failure Handling
- How should the application interpret unresolved products and partial results?
- Billing Unit
- Are you paying by request, credit, record, product/source lookup or another unit?