01
Approved sources
Name the public domains, page families, markets, and collection context included in the feed.
Make scope inspectable Representative URLs reveal page variation and prevent a source name from implying unsupported page types.
Datensätze & Feeds
Data Feeds for recurring web data delivery.
Turn a defined public-web scope into structured records delivered on the cadence and destination your team selects. WebScrapingAPI operates collection, extraction, maintenance, quality monitoring, and every configured handoff.
- Defined sources Approved public scope
- Stable records Schema and states
- Chosen cadence Recurring delivery plan
- Operated quality Monitoring and maintenance
Feed design
Define the record once, then make every delivery interpretable.
A useful feed begins with six connected decisions. Together they tell WebScrapingAPI what to collect, what a valid record means, when to run, and how the receiving system should accept each handoff.
02
Record and schema
Define entities, fields, types, units, relationships, identifiers, and required source context.
Design for the destination Build the record around the joins, filters, models, and decisions the receiving workflow must support.
03
Cadence and window
Choose how often the collection should run and which observation window belongs in each delivery.
Match the decision cycle A useful schedule reflects source behavior, business value, and the receiving system's processing rhythm.
04
Change policy
Decide whether the feed sends complete snapshots, supported incremental records, or a change-focused output.
Keep time explicit Stable keys, capture time, change state, and schema version make successive deliveries comparable.
05
Quality rules
Specify required fields, valid types, duplicate handling, missing-state meaning, and acceptance conditions.
Measure usable records Quality checks should reflect downstream usability, not an abstract score disconnected from the record.
06
Format and destination
Select the record format, file organization, manifest, and receiving system for the recurring handoff.
Plan operational acceptance Define how the destination identifies, validates, and processes each delivery before production starts.
Lieferung
Configure the handoff around your data stack.
Choose the output shape and receiving path during feed design. Common options are framed as configurable choices, so the delivery reflects the record volume, processing model, and systems your team already operates.
- feed_id
- market-offers-eu
- collection_window
- configured run window
- delivery_mode
- incremental
- schema_version
- commerce-offer.v3
- record_states
- new · changed · unavailable
- destination
- buyer-selected storage
Recurring operations
WebScrapingAPI operates every configured run.
The feed is an operated delivery product, not a collection script handed back to your team. We maintain the configured access, extraction, quality, and delivery workflow across recurring runs.
01
Schedule
Run the approved feed against its configured cadence and collection window.
02
Collect
Access the approved public-source scope and retain the required request context.
03
Extract
Produce the defined records, fields, types, identifiers, and normalized values.
04
Assure
Monitor agreed collection and record-quality signals, then investigate relevant exceptions.
05
Deliver
Prepare the configured package and hand it to the selected receiving destination.
Recurring workloads
Keep operational systems supplied with fresh structured records.
Data Feeds fit workloads where the source scope and record design are stable enough to repeat, while the information itself continues to change.
Handel
Price, assortment, and availability updates
Deliver product, offer, seller, promotion, availability, and review records into pricing or digital-shelf workflows.
Companies and talent
Business, location, and job changes
Refresh public company, office, business-location, and job-posting records for enrichment and market analysis.
Travel and property
Offer and listing observations
Collect time-bound fare, accommodation, or property-listing records with the request context needed for comparison.
AI and search
Recurring context for retrieval systems
Supply selected public text, search observations, or structured records to knowledge and evaluation workflows on an agreed cadence.
Choose the data path
Use Data Feeds when the same data contract needs to run again.
Start from the request pattern and operating boundary. Each adjacent product serves a different moment in the web data lifecycle.
Commercial scope
Price the feed around the records your systems will use.
A representative source set and sample record make the commercial discussion concrete. Scope reflects the ongoing collection and operating work required to deliver the accepted feed.
Start with a sample
Bring the source scope and receiving workflow.
We will map the brief to a sample plan, recurring-run design, quality boundary, and delivery path before defining the production scope.
Explore Data Feeds pricing- Sources and markets
- Domains, page families, countries, languages, and required request context
- Records and volume
- Entities, fields, relationships, estimated records, and collection breadth
- Cadence and history
- Recurring schedule, initial load, historical window, and change policy
- Record complexity
- Extraction, normalization, identity, matching, and missing-state requirements
- Quality design
- Validation rules, monitoring signals, exception handling, and acceptance conditions
- Lieferung
- Format, organization, manifest, destination, and handoff workflow
FAQ
Evaluate the feed from sample to recurring handoff.
Use the source set, record contract, sample, cadence, quality rules, and destination to decide whether the feed fits production.
What is a WebScrapingAPI Data Feed?
A Data Feed is a recurring delivery of structured records from an agreed public-source scope. Your team defines the record, cadence, quality rules, and receiving destination; WebScrapingAPI operates collection, extraction, source-change maintenance, quality monitoring, and delivery.
What belongs in the feed design?
Define the approved sources, target entities and fields, collection context, cadence, change policy, quality and missing-state rules, format, and destination. Representative source URLs and sample records make the feed easier to evaluate before launch.
Can a feed start from a marketplace dataset?
Yes. Start from an available Data Marketplace collection when its source coverage and schema fit, then configure the relevant scope and recurring refresh. A buyer-defined feed can also begin from an agreed source and record brief.
Which formats and destinations are available?
Common record formats can include JSON, CSV, or Parquet. The selected delivery may use cloud object storage, secure file transfer, or another agreed receiving system. Format, organization, destination, and handoff conditions are configured for the feed.
Can a feed deliver full snapshots or only changes?
The feed design can use full snapshots, incremental deliveries, or change-focused outputs when the record model and collection method support them. Stable keys, observation time, schema version, and explicit states make each handoff interpretable.
Who handles source changes and quality monitoring?
WebScrapingAPI operates the configured collection and extraction workflow, monitors agreed record-quality signals, maintains the workflow as approved sources change, and delivers the resulting records. Your team owns the business purpose, source approval, acceptance rules, receiving system, and downstream use.
How is Data Feeds different from Data API and Managed Data?
Data API is request based: your application chooses when to request a supported source-specific record. Data Feeds is an operated recurring delivery built around a stable feed design. Managed Data fits broader custom acquisition programs that may require bespoke matching, enrichment, transformation, or operating requirements beyond the feed.
What shapes Data Feed pricing?
Commercial scope reflects the selected sources, record volume, cadence, history or backfill, extraction and normalization complexity, quality rules, change policy, format, destination, and operating requirements. A representative brief and sample set make those inputs concrete.
Your recurring data brief
Turn a changing public-web scope into a dependable delivery rhythm.
Share representative sources, the record your system needs, the decision cadence, quality rules, and destination. We will shape the sample and recurring operating design.