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Résultats de recherche sur le marché et la concurrence

Build a market view grounded in evidence.

Turn public-web sources into traceable market and competitor data through structured APIs, scheduled feeds, or a managed research program.

Start with the workload

Start with the decision—not a list of websites.

Choose the question. We define the public evidence, coverage, and limits needed to support it.

Evidence-base assembly

Build a traceable evidence base for market models.

Collect observable organizations, offers, locations, and activity; your team applies the assumptions behind any estimate.

  • Which companies, locations, categories, and offers are visible?
  • How does coverage differ by market or segment?
  • Which entities are new, unresolved, or not observed?
Scope a market landscape sample

Research method

Define the research frame before collection.

Set the entities, discovery rules, source coverage, markets, and blind spots that make the work repeatable.

  1. 01
    Seed & discovery

    Set approved entities and candidate-review rules.

  2. 02
    Inclusion

    Set markets, segments, source types, and thresholds.

  3. 03
    Contextes

    Preserve locale, query, postcode, currency, and result settings.

  4. 04
    Blind spots

    Record unsupported sources, fields, and method limits.

Evidence model & data contract

Every record keeps its evidence attached.

Representative records confirm coverage, fields, provenance, and quality rules before production.

Couverture de la source

Confirm the sources behind each question.

We test source eligibility, fields, market context, cadence, and feasibility.

  1. 01Company pages

  2. 02Products & marketplaces

  3. 03Search & visibility

  4. 04Reviews & media

  5. 05Jobs & hiring

  6. 06Records & locations

Source eligibility, field availability, and collection conditions are confirmed during feasibility review. Restricted sources are not included.

Field groupWhat the record should preserve
Entity identity

Source ID, canonical ID when included, name, aliases, domain, location, and review state.

Observed value

Source text or value, page type, record type, and separately labeled normalized fields.

Context & provenance

Source URL, class, market, locale, query, currency, and other result-shaping context.

Time & change

Captured at, published at, first seen, last seen, state, and previous value.

Missingness & quality

Observed, not exposed, not observed, failed, outside scope, removed, unresolved, or review required.

// Illustrative managed record with entity resolution included
{
  "entity": {
    "source_id": "company:source:1842",
    "canonical_id": "company:wsa:00917",
    "match_state": "reviewed"
  },
  "source_observation": {
    "page_type": "pricing",
    "field": "plan_name",
    "raw_value": "Enterprise",
    "normalized_value": "enterprise"
  },
  "source_url": "https://example.com/pricing",
  "market": "GB",
  "captured_at": "2026-07-14T06:15:00Z",
  "derived_event": {
    "type": "offer_added_candidate",
    "comparison_window": "2026-07-07/2026-07-14",
    "rule": "not_observed → observed",
    "review_state": "pending"
  }
}

Quality & longitudinal evidence

Make coverage, gaps, and change visible.

We check provenance, missingness, schema, and change across every data flow we operate.
01Coverage

Report planned, collected, unavailable, and failed records.

02Schema

Validate required fields, types, accepted values, and source constraints.

03Entity resolution

Preserve exact, probable, unresolved, and reviewed states when included.

04Missingness

Keep not exposed, not observed, failed, removed, and outside scope distinct.

05Provenance

Retain source URL, context, timestamps, schema, and comparable history.

06Source changes

WSA monitors and maintains every supported endpoint and connector it operates.

Operating model

Select the handoff that matches your research workflow.

Keep your own collectors, use documented web access APIs, receive scheduled datasets and feeds, or hand off the contracted research-data operation. Your team defines the research question and intended use, approves sources, and owns analysis and conclusions.

Maximum collection control

Keep your research collectors and evidence logic.

WSA supplies rotating or sticky proxy access. Your team defines the research question and intended use, approves sources, chooses requests, and operates retrieval, parsing, entity handling, validation, scheduling, delivery, analysis, and conclusions.
ResponsabilitéPropriétaire
Research question, intended use & approved sourcesVotre équipe
Access, collection & field extractionWSA network · your collectors
Entity resolution, normalization, scheduling & qualityVotre équipe
Connector maintenance & deliveryWSA platform · your collectors
Downstream storage, lawful use, analysis & conclusionsVotre équipe

Best for teams with mature collectors and their own research-data operation.

Explore proxy infrastructure

Scheduled & managed engagement

Prove the method before you scale.

We test representative sources, confirm the output, and agree the operating rules before production.
  1. 01 · Brief

    Define

    Confirm the question, sources, markets, entities, and fields.

  2. 02 · Sample

    Validate

    Review coverage, context, and representative records.

  3. 03 · Specification

    Agree

    Set the schema, cadence, quality rules, and responsibilities.

  4. 04 · Launch

    Opérer

    WSA launches and maintains the contracted workflow.

Your evaluation package includes representative records, coverage notes, a draft schema, and the proposed delivery plan.

Evaluation questions

What buyers ask before launch.

Coverage, evidence, history, ownership, and commercial terms—answered clearly.

Is WebScrapingAPI a research platform or a data service?

WebScrapingAPI provides public-web data infrastructure and delivery, not research or BI software. Your team owns interpretation and decisions.

Can WSA help define the research universe?

For a managed program, we can turn your question into sources, entities, inclusion rules, fields, cadence, and blind spots. The result defines observable coverage, not the entire market.

Can we start with a seed list and discover new companies or products?

Yes, when discovery is included. Candidates from approved public sources enter a review state before joining the tracked set.

How are companies, products, and locations matched across sources?

Entity resolution remains with your team for proxies, the Scraper API, structured APIs, and standard feeds. It can be added to a feed or managed program, where WSA uses approved rules and review states.

How are missing or conflicting observations represented?

We keep not observed, not exposed, failed, outside scope, and verified absence distinct. Conflicting records retain their own source and capture time.

Can WSA provide historical snapshots and change events?

Structured APIs return current observations. Feeds and managed programs can add snapshots, first-seen and last-seen fields, and change records; history begins when collection starts unless a backfill is confirmed.

What happens when a source changes its website?

WSA maintains retrieval for the Scraper API, access, extraction, output monitoring, and source changes for structured APIs, and every connector it operates for feeds and managed programs. Proxy customers maintain their collectors; Scraper API customers maintain parsing and downstream logic.

Can reviews, forums, social pages, or sentiment be included?

Eligible public pages can be evaluated for a feed or managed program; restricted sources are not included. WSA delivers the selected public text and metadata, while your team derives sentiment, intent, and market conclusions.

What determines the scope and cost of a research-data program?

Self-serve products follow published plans. Custom pricing reflects sources, entities, markets, discovery, cadence, fields, resolution, history, validation, format, and delivery.

Where can procurement review data handling and service terms?

Review our Politique de confidentialité, GDPR information, and Accord de service. Custom agreements define source eligibility, data handling, retention, access, responsibilities, change handling, and source constraints.

Validate the research brief

Turn your research question into a repeatable data specification.

Share your question and representative sources. We will validate feasibility and propose the data model, cadence, and delivery plan.