# Best Web Scraping APIs in 2026: Compared, Priced, and When Monitoring Fits Better Source: PageCrawl.io Blog URL: https://pagecrawl.io/blog/best-web-scraping-apis-2026 Published: 21 September, 2026 --- *Last reviewed: September 15, 2026. Prices and plan details reflect each vendor's public pages at the time of review and can change, so confirm on the vendor's site before buying.* A scraping API turns "fetch this page" into one HTTP call that comes back with clean content instead of a block page. Behind that call sits a browser pool, a proxy network, a retry policy and, in 2026, usually a model that returns markdown or a JSON object shaped to your schema. The category has grown up around AI agents and retrieval pipelines that need to read the web without maintaining a scraper per site. The choice is harder than it looks because the products overlap heavily on features and differ mostly on pricing units, output formats and how they handle pages that fight back. And a growing share of buyers are not asking "how do I read this page?" at all. They are asking "how do I know when this page changes?", which is a different job with a different price curve. This guide compares twelve scraping APIs on the things that decide the bill, then sets out where a monitoring API such as PageCrawl fits better, where scraping wins, and how the two combine. Prices and features were checked against each vendor's own site in September 2026; check the linked pages before you commit, since credits and tiers move often. Top picks by job: - **Firecrawl:** agent and RAG pipelines that want markdown in one call, and a diff back on repeat fetches. - **Bright Data:** sites where everything else fails, or a pre-built scraper for a known site. - **Zyte API:** high-volume structured extraction across many retail or listings sites. - **Jina Reader:** prototypes and small RAG pipelines that want markdown with zero setup. - **ZenRows:** small teams who want a low entry price and clear per-feature credit costs. ### What does a web scraping API actually do? A web scraping API accepts a URL and returns the page's content in a format you choose, handling the browser rendering, proxy rotation, retries and block detection on its side. You pay per request or per credit, and the unit cost rises with what the request needs: a plain HTTP fetch is cheapest, a rendered browser session costs more, and a page behind heavy protection costs the most. Most products in this list bundle four layers: 1. **Fetching.** Plain HTTP for simple pages, a headless browser for pages that build themselves in JavaScript. 2. **Unblocking.** Rotating proxies, browser fingerprints and CAPTCHA handling so the request looks like a person. Every vendor describes this differently and none of them can promise it works on every site. 3. **Extraction.** Raw HTML, cleaned markdown for language models, screenshots, or JSON pulled out by CSS selectors, a pre-trained parser, or a model working from your schema. 4. **Orchestration.** Crawling a whole site, batching thousands of URLs, scheduling repeat jobs, storing results. The fourth layer is where scraping and monitoring start to blur, and where most of the cost surprises live. ### What should you compare before choosing one? Compare the pricing unit, the cost multipliers, the output formats and what happens when a page is blocked. The headline price of the entry plan tells you almost nothing, because a credit on one vendor is a page and on another is thirty seconds of browser time. - **Pricing unit.** Per page (Firecrawl, Diffbot), per credit with multipliers (ScrapingBee, Crawlbase, ZenRows, Scrapfly), per successful request (Scrape.do, ScrapingBee), per result (Oxylabs), per compute unit (Apify), per unit of browser time (Browserless), per site-complexity tier (Zyte). - **Multipliers.** JavaScript rendering typically doubles or more. Premium or residential proxies add again. Some vendors price by how hard the target site is; Crawlbase's difficulty multiplier runs up to 20x and Zyte's browser tier tops out at more than ten times its cheapest HTTP tier. - **Output for models.** If the consumer is an LLM, markdown with boilerplate stripped saves tokens on every call. Firecrawl, Jina Reader, Crawlbase, ScrapingBee and Scrapfly return it natively; Diffbot and Oxylabs return typed JSON instead. - **Schema extraction.** "Give me `{ price, currency, in_stock }` from this page" is now table stakes, but the cost varies. Firecrawl charges extra credits for JSON mode, Scrapfly runs it as a separate Extraction API, and Zyte's typed schemas for products, articles and jobs are included. - **Blocked pages.** Ask what you pay when the fetch fails. ScrapingBee and Scrape.do bill only successful requests; others charge the attempt. - **Repeat jobs.** If you will fetch the same URL on a schedule, look for a scheduler and, more importantly, for anything that tells you whether the content changed. Only one vendor in this list returns a diff, and that is the hinge of the second half of this guide. ### How did we review these APIs? We reviewed each API on its pricing unit and cost multipliers, output formats for language models, schema extraction, what you pay when a page is blocked, and support for repeat jobs or change detection. Pricing and features come from each vendor's own site, and every entry notes the kind of workload it fits best. ### The twelve scraping APIs compared Each entry gives the vendor's positioning, the formats it returns, how it handles rendering and blocking in general terms, the pricing as published on its site, and whether it offers anything that detects change. #### Firecrawl Firecrawl positions itself as a context API for agents: scrape, crawl, map and search endpoints that return LLM-ready markdown by default, with HTML, screenshots, PDF parsing and JSON extraction against a schema. JavaScript rendering is automatic. Its [change tracking format](https://docs.firecrawl.dev/features/change-tracking) is the one native diff feature in this roundup: a scrape can return whether the page is new, same, changed or removed since the last scrape, with a git-style diff or a field-level JSON comparison. You schedule the repeat scrapes yourself; JSON-mode comparison costs 5 extra credits per page. Pricing on [firecrawl.dev/pricing](https://www.firecrawl.dev/pricing): free tier with 1,000 credits a month, then from $16 a month on annual billing for 5,000 credits, $83 for 100,000 and $333 for 500,000. One credit is one basic page. Best for: agent and RAG pipelines that want markdown in one call, and teams who will run their own scheduler and want a diff back. #### ScrapingBee A general scrape endpoint built around not getting blocked, with headless Chrome rendering, wait-for-selector and scripting options, and output as HTML, markdown, screenshots or JSON via CSS, XPath or AI extraction. Only successful requests are billed. Pricing on [scrapingbee.com](https://www.scrapingbee.com/#pricing): 1,000 free trial credits, then $19 a month for 75,000 credits, $49 for 250,000, $99 for one million. Rendering and premium proxies consume more credits per request. Best for: developers who want one dependable endpoint with predictable pricing and are happy to shape the output themselves. #### Zyte API Zyte sells an all-in-one fetch with automatic ban handling, browser rendering, sessions and typed extraction for products, articles, jobs and custom schemas, with the extraction adapting when a site's layout changes. It is the most mature of the enterprise-grade options and prices by how hard the target site is. Pricing on [zyte.com/zyte-api](https://www.zyte.com/zyte-api/): pay as you go across five site-complexity tiers, from $0.13 to $1.27 per 1,000 HTTP requests and $1.01 to $16.08 per 1,000 browser-rendered requests, with monthly commitments from $100. A $5 trial credit is included. Best for: high-volume structured extraction across many retail or listings sites where per-site pricing transparency matters. #### Bright Data Web Scraper API and Web Unlocker Two products. The Web Scraper API is a catalogue of hundreds of pre-built scrapers for specific sites that return per-field JSON records. The Web Unlocker is a general endpoint for any URL, returning HTML, JSON, markdown or a screenshot, backed by one of the largest residential proxy networks in the industry. Bright Data has no native change detection; it documents scheduled collection and an integration with an open-source change-detection tool rather than a diff of its own. Pricing on [brightdata.com/products/web-scraper](https://brightdata.com/products/web-scraper) and [web-unlocker](https://brightdata.com/products/web-unlocker): both offer 5,000 free requests or records a month. The Unlocker is $1.50 per 1,000 requests pay as you go, or $499 a month for about 383,000 requests. Scraper API records are priced around $1 per 1,000 with promotional discounts, and enterprise plans start at $1,500 a month. Best for: sites where everything else fails, and for teams who would rather buy a pre-built scraper for a known site than write one. #### Apify Apify is a platform rather than an endpoint: a marketplace of "Actors", each a scraper or automation you run on Apify's infrastructure with proxies, storage and a scheduler included. Output is a dataset in JSON; markdown, screenshots and LLM extraction depend on the Actor you pick. Scheduling is first-party, but change detection is community-built through marketplace Actors rather than a platform feature. Pricing on [apify.com/pricing](https://apify.com/pricing): a free tier with $5 of platform credit a month, then $19 a month for $19 of credit, metered in compute units of one gigabyte-hour at $0.20 each beyond the plan. Best for: teams who want to run scrapers other people have written, or host their own, with hosting and scheduling handled. #### ScraperAPI A proxy-and-render endpoint with structured data endpoints for common sites, a rendering instruction set for interacting with the page, and an AI parser for schema extraction. Its DataPipeline product schedules recurring collection but does not diff results. The pricing page is rendered in JavaScript and could not be read directly for this guide, so confirm current tiers on [scraperapi.com/pricing](https://www.scraperapi.com/pricing/); third-party listings put the entry plan at $49 a month. Best for: search-engine and marketplace result pages where the structured endpoints save you a parser. #### Oxylabs Web Scraper API Oxylabs returns parsed JSON for a long list of well-known targets (its own examples run to well over a hundred fields for a product page) or raw HTML, with custom parsers included on paid plans. JavaScript rendering is a billed option and scheduling of recurring queries is free on every plan, though there is no diff output. Pricing on [oxylabs.io](https://oxylabs.io/products/scraper-api/web/pricing): a 2,000-result free trial, then $49 a month for up to 98,000 results, $99 for 220,000 and $249 for 622,500, with per-target and rendering multipliers. Best for: e-commerce and search data at volume where you want typed fields rather than page text. #### Crawlbase A unified crawling, proxy and storage platform with one credit system, and one of the cleaner markdown outputs in the group: `format=md` with a readability pass that strips navigation and boilerplate. JavaScript rendering is available on every plan at double the credit cost, and per-site difficulty multipliers run from 1x to 20x. Pricing on [crawlbase.com/pricing](https://crawlbase.com/pricing): 5,000 free requests, then $99 a month for 200,000 credits. Best for: LLM ingestion pipelines that need markdown at scale and a single vendor for proxies and storage. #### Diffbot Diffbot is the odd one out: a computer-vision and machine-learning extractor that classifies a page as an article, product, discussion or list and returns a typed JSON object, plus a knowledge graph built from its own crawl of the web. There is no markdown, screenshot or HTML output, and no scheduled recrawl or diff. Pricing on [diffbot.com/pricing](https://www.diffbot.com/pricing/): 10,000 free credits a month at five requests a minute, then $299 a month for 250,000 credits and $899 for one million. Best for: entity extraction and knowledge-graph work, not page-level scraping. #### Jina Reader Jina Reader is the simplest entry: prefix any URL with `r.jina.ai` and get markdown back, or JSON with a title, content and timestamp, or structured JSON by passing a schema in a header. Rendering is selectable with a header. Jina states plainly that it does not try to get around a site's defences; if a page blocks the fetch, that is the result you get. Pricing on [jina.ai/reader](https://jina.ai/reader/): free at 20 requests a minute with no card, then token-based billing at 500 requests a minute with an allowance of free tokens, and a premium tier at 5,000 requests a minute. Best for: prototypes, small RAG pipelines and anyone who wants markdown from public pages with zero setup. #### Scrapfly Scrapfly bundles fetch, browser, unblocking and extraction under one key, with two in-house engines: an HTTP engine that mimics browser network behaviour and a managed Chromium engine compatible with the common automation protocols. Output covers raw or sanitised HTML, markdown, text, screenshots, JSON via LLM prompt, selectors or pre-trained models, and WARC archives from crawl jobs. Its Crawler API schedules crawls and reports on them but does not diff pages. Pricing on [scrapfly.io/pricing](https://scrapfly.io/pricing): 1,000 free credits, then $30 a month for 200,000 credits with extra capacity at $5 per 10,000. Credit cost per request rises with the features you enable. Best for: developers who want fine control over the fetch and a broad set of output formats from one vendor. #### Browserless Browserless is managed headless Chrome rather than a scrape endpoint: connect Puppeteer, Playwright or Selenium over WebSocket, or use its BrowserQL query language, and drive the browser yourself. Output is whatever your script produces: screenshots, PDFs, JSON, HTML. It also ships an MCP server for agents. Pricing on [browserless.io/pricing](https://www.browserless.io/pricing): a free tier of 1,000 units a month at two concurrent browsers, then $25 a month on annual billing for 20,000 units, $140 for 180,000 and $350 for 500,000. A unit is roughly 30 seconds of browser time, and proxy traffic is metered per megabyte on top. Best for: teams with existing browser automation scripts who want to stop running Chrome themselves. #### ZenRows A universal scraping API with fetch, extract, batch and browser-session primitives, returning readable text, JSON or screenshots, and a batch product for async jobs with queues, retries and webhooks. No change detection. Pricing on [zenrows.com/pricing](https://www.zenrows.com/pricing): 5,000 free credits a month, then $16 a month for 45,000 credits with a one-month rollover, rising through $57, $165 and $456 tiers. Rendering adds 5 credits per request, premium proxies add 10, and residential bandwidth is metered per gigabyte. Best for: small teams who want a low entry price and clear per-feature credit costs. ### Comparison table | API | Pricing unit | Free tier | Entry paid plan | Markdown out | Schema JSON | Native diff | |---|---|---|---|---|---|---| | Firecrawl | Credit, 1 per page | 1,000 credits/mo | $16/mo, 5,000 credits (annual) | Yes | Yes, extra credits | Yes, change tracking | | ScrapingBee | Credit, success only | 1,000 trial credits | $19/mo, 75,000 credits | Yes | Yes | No | | Zyte API | Per 1,000 requests by site tier | $5 credit | Pay as you go, from $100/mo commit | No | Yes, typed | No | | Bright Data Unlocker | Per 1,000 requests | 5,000/mo | $1.50 per 1,000 | Yes | Via Scraper API | No | | Apify | Compute unit | $5 credit/mo | $19/mo credit | Actor-dependent | Actor-dependent | Community Actors | | ScraperAPI | Credit | 1,000/mo (reported) | Confirm on site | Unconfirmed | Yes, AI parser | No | | Oxylabs | Per 1,000 results | 2,000-result trial | $49/mo, 98,000 results | No | Yes, parsers | No | | Crawlbase | Credit, JS 2x | 5,000 requests | $99/mo, 200,000 credits | Yes | Yes | No | | Diffbot | Credit per extraction | 10,000/mo | $299/mo, 250,000 credits | No | Yes, fixed ontology | No | | Jina Reader | Per token | 20 RPM free | Token billing | Yes | Yes, via header | No | | Scrapfly | Credit, feature-weighted | 1,000 credits | $30/mo, 200,000 credits | Yes | Yes, Extraction API | No | | Browserless | Unit, about 30 s browser | 1,000 units/mo | $25/mo, 20,000 units (annual) | No | Your script | No | | ZenRows | Credit, feature-weighted | 5,000/mo | $16/mo, 45,000 credits | Text | Yes | No | ### How is a scraping API different from a monitoring API? A scraping API answers "what does this page say right now?" and charges per answer. A monitoring API answers "what changed on this page, when, and does it matter?" and charges per page watched, regardless of how often it checks. That difference decides which one is cheaper for any job that repeats. PageCrawl's [REST API](/developers) is a monitoring API. You register a page once, choose what to track (the full text, a selector, a price, a JSON field, an AI-extracted answer, a screenshot), and PageCrawl checks it on a schedule, keeps every version, computes the diff and scores each change. What comes back through the API, [webhooks](/help/integrations/article/webhook-integration.md) or the [MCP server](/help/integrations/article/mcp-server-ai-tools.md) is not a page: it is a change event with the previous value, the current value, a diff and a summary. The contrast in practice: | | Scraping API | Monitoring API (PageCrawl) | |---|---|---| | Unit you pay for | Each fetch | Each page watched | | Cost of checking 100 pages hourly for a month | 72,000 fetches, at the vendor's credit rate | Fixed by plan; the fetches are included | | Previous version | You store it | Stored, with full history | | Diff | You compute it (Firecrawl can return one) | Returned, as text, markdown or a visual diff | | "Does it matter?" | Your code decides | AI summary and 0 to 100 score, learned per monitor | | Delivery | You poll | Webhook, email, Slack, Teams, Discord, Telegram, MCP | | Pages behind a login | Usually a browser script you maintain | Saved login, session reused across checks | | Bulk one-off extraction | The whole point | Not the point | Timing is worth stating honestly on both sides. A scraping API gives you the page when you ask. A monitor tells you about a change when the next scheduled check detects it; PageCrawl checks as often as every 2 minutes depending on plan. Neither is a live feed of the page. ### When does a scraping API suit better? Choose a scraping API when the work is a one-time or bulk read, when you need thousands of different pages rather than the same pages repeatedly, or when the output must be a typed dataset you own. - **Building a dataset.** Ten thousand product pages read once for a catalogue, a corpus of articles for a model, every listing in a category. Monitoring has nothing to add here. - **Search and retrieval for agents.** An agent that needs to read whatever page a search turned up wants markdown now, not a monitor. - **Typed extraction at scale.** Zyte, Oxylabs and Diffbot return fields, not text, and maintain the parsers when sites change layout. - **Owning the browser.** Browserless and Apify let you run your own automation with the infrastructure handled. - **Sites that only a large proxy network reaches.** Bright Data's network exists for this reason. ### When does a monitoring API suit better? Choose a monitoring API when the same pages are read repeatedly and the value is in the change, when someone needs to be told, or when you want history and evidence rather than a snapshot. - **Competitor pricing and plans.** The [competitor tracking guide](/blog/competitor-price-monitoring-ecommerce-guide) is built on this: the pages are known, the interesting event is a change, and per-fetch pricing punishes frequent checks. - **Stock, price and availability alerts.** A price tracked as a number with a threshold rule, an availability state with a restock alert. Both are [built-in tracking modes](/help/features/article/available-tracked-monitoring-types.md), not a scraper plus a cron job plus a comparison plus a notifier. - **Docs, terms and regulatory pages.** Low change frequency, high cost of missing one. A monitor checks daily for the price of one page and holds the archive when a change lands. - **Feeding agents.** An agent that wakes on a webhook or polls `get-changes-since` runs only when something moved. The [agent notification guide](/blog/notify-ai-agents-when-the-web-changes) covers the patterns. - **Data you cannot crawl at all.** PageCrawl's [push data sources](/help/integrations/article/push-api-data-sources.md) accept values you send from your own scripts and give them the same history, charts and alerts as a monitored page. ### Can you use both together? Yes, and the combination is common: scrape once to discover and build, monitor from then on to keep it current. The scraping API does the wide read, the monitoring API does the long watch, and neither is asked to do the other's job at the other's price. A typical arrangement: 1. Use a scraping or search API to find the pages that matter (a competitor's plan pages, every SKU page in a category, a regulator's guidance index). 2. Register those pages as monitors through the PageCrawl API or, in bulk, with [discovered pages](/help/features/article/page-discovery.md) from a single site. 3. Let the monitor watch them. When a change scores above your threshold, the webhook carries the diff and summary to your system. 4. When a change reveals a new page worth reading in full, call the scraping API for that one page. Firecrawl's change tracking is the closest a scraping vendor comes to the middle ground, and it is a good fit if you already run a scheduler and want a diff without a second vendor. It still leaves the schedule, the history store, the scoring and the notifications to you. ### Getting Started If the job is a one-time read, start with Jina Reader for public pages and Firecrawl or ScrapingBee once you need rendering and volume; all three have a free tier large enough to prove the pipeline. If the job is a repeat read of the same pages, start with five of them in PageCrawl on the free tier, set a threshold, and see what the change events look like after two weeks. Most teams find out within that fortnight which side of the line their work sits on. The ones re-scraping on a cron to see whether a page changed usually move that part to a monitor and keep the scraper for what it does well. PageCrawl's free tier includes 6 monitors with the REST API, webhooks and MCP server available from day one, so the monitoring half can be tested without a subscription. --- Need more? The complete PageCrawl.io help center, with every article, is available as a single document at https://pagecrawl.io/llms-full.txt. Read it for context on anything this page does not cover.