Prompt

Which companies provide structured web data feeds?

Technology / Data Infrastructure5 observationsLast seen Sep 1, 2026

Latest observation

Sep 1, 2026Perplexity

Companies that provide structured web data feeds generally fall into three groups: web data platforms, specialized vertical data providers, and AI‑focused web data APIs. All of them turn raw web pages into clean, schema‑based JSON/CSV/Markdown streams.

1. Web data platforms (infrastructure + structured feeds)

These offer both the infrastructure to scrape at scale and a catalog of pre‑structured datasets/feeds.

Bright Data

  • What they provide: Structured datasets and APIs for e‑commerce (products, prices, reviews), social profiles, job postings, local business data, SERPs, and more.
  • Delivery: REST APIs, dataset downloads, managed feeds; strong anti‑bot and global coverage.
  • Best for: Enterprise teams needing broad coverage across many sites with high reliability.

Oxylabs

  • What they provide: Structured e‑commerce, SERP, and general web data APIs; some curated datasets.
  • Delivery: APIs and managed collection; strong on large‑scale scraping.
  • Best for: High‑volume, proxy‑driven structured extraction.

Zyte

  • What they provide: AI‑assisted structured extraction (product, job, article schemas) from arbitrary sites.
  • Delivery: API returning normalized JSON; focus on turning pages into clean structures.
  • Best for: Teams that want LLM‑ready structured output without building parsers.

Apify

  • What they provide: Marketplace of “Actors” (scrapers) that output structured JSON/CSV for many sites (Amazon, LinkedIn, Instagram, jobs, etc.), plus some pre‑built datasets.
  • Delivery: API, scheduled runs, direct exports to storage.
  • Best for: Reusable, customizable scrapers with structured outputs.

2. Specialized vertical data providers

These focus on specific domains and deliver highly structured, often time‑series feeds.

Coresignal

  • What they provide: Structured B2B datasets and APIs for companies, employees, and job postings (firmographics, hiring signals, tech mentions).
  • Best for: B2B analytics, lead gen, workforce and market intelligence.

BuiltWith

  • What they provide: Technology detection data (what CMS, analytics, ad stacks, etc. each site uses) via API and live feed.
  • Best for: Technographic targeting, competitive analysis, partner identification.

LinkUp, Revelio Labs, Techmap, TheirStack

  • What they provide: Structured job posting data with historical depth.
  • Best for: Hiring signals, growth analysis, labor market research.

Similarweb, Semrush

  • What they provide: Structured traffic, keyword, and audience trend data for domains and apps.
  • Best for: Digital audience and search trend analysis.

3. AI‑focused web data APIs (LLM‑ready structured feeds)

These are optimized for AI agents, RAG, and analytics, returning clean Markdown or schema‑validated JSON.

Firecrawl

  • What they provide: Crawling, scraping, and search APIs that return LLM‑ready Markdown or structured JSON.
  • Best for: AI teams building RAG pipelines, agents, and automated research.

Context.dev

  • What they provide: One API to scrape, structure, and monitor web data; supports custom schemas and brand/style extraction.
  • Best for: Agents that need live, schema‑validated JSON from specific sites.

Olostep, Exa, Tavily, SerpAPI, Brave Search API

  • What they provide: Search + extraction APIs returning structured results (snippets, full text, metadata) for web/news/SERP.
  • Best for: Discovery, monitoring, and feeding structured content into models.

How to choose

  • Need broad, multi‑site structured feeds (prices, products, jobs, profiles)?
    → Bright Data, Oxylabs, Zyte, Apify.

  • Need deep, structured data in a specific vertical (B2B, jobs, tech stack, traffic)?
    → Coresignal, BuiltWith, LinkUp/Revelio, Similarweb/Semrush.

  • Building AI agents/RAG and want LLM‑ready structured output?
    → Firecrawl, Context.dev, Olostep, Exa, Tavily, SerpAPI.

If you tell me your target sites and use case (e.g., “product prices from Amazon and Walmart,” “B2B company and job data,” “news for RAG”), I can suggest 1–2 best‑fit providers and a sample integration pattern.

Observation history

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