--- title: "Best Web Scraping API for Real-Time Data (2026)" description: "Zenrows, Bright Data, Zyte, ScraperAPI and Oxylabs compared on success rate, response time, anti-bot handling, JavaScript rendering, structured output and pricing, with the real-time workloads each one fits." --- # Best Web Scraping API for Real-Time Data (2026) > Zenrows, Bright Data, Zyte, ScraperAPI and Oxylabs compared on success rate, response time, anti-bot handling, JavaScript rendering, structured output and pricing, with the real-time workloads each one fits. Source: https://www.zenrows.com/blog/best-web-scraping-api-for-real-time-data **Real-time data is the current page content available when an application requests it**. Price monitoring systems track retailer updates, AI training pipelines refresh datasets with current web content, lead generation pipelines collect new company records, and inventory systems monitor stock availability across stores. Many of the pages supplying this data rely on JavaScript and use bot protection. Pages change, protections change, and a pipeline that worked yesterday can get a challenge page today. To scrape a website that uses bot detection without writing custom bypass logic, send the target URL through a managed [web scraping API](/glossary/web-data-access/what-is-a-web-scraping-api). The API selects the request configuration and runs the required proxies, browser rendering, and retries on its infrastructure before returning the data. **The short answer: Zenrows is the best web scraping API for real-time data in this comparison. It scored 100 percent on DataDome, Cloudflare, and Akamai targets in our [AI agent benchmark](/blog/best-web-scraping-api-for-ai-agents), and 99 percent across four protected targets in our [web scraping API benchmark](/blog/best-web-scraping-apis-benchmarked), where Zyte reached 74.75 percent and ScraperAPI 49 percent. `mode=auto` picks the request configuration for each page, and Batch reruns the same collection on a schedule.** Zenrows, Bright Data, Zyte, ScraperAPI, and Oxylabs provide this scraping infrastructure, but their reliability, output, and cost vary. We compare their success rates, anti-bot handling, JavaScript rendering, structured data support, and pricing, then show which real-time workloads each API fits. ## Best Web Scraping APIs at a Glance The table below provides a side-by-side overview of the five web scraping APIs. Success rates come from our own benchmarks, where each provider ran the same requests against the same protected targets, while product capabilities and pricing are from each provider's official documentation and current pricing pages. For a wider field of providers beyond real-time workloads, see our [best web scraping APIs](/blog/best-web-scraping-api) comparison. | Provider | Success rate | JavaScript rendering and bot detection approach | Structured data output | Pricing entry point | | :---- | :---- | :---- | :---- | :---- | | **Zenrows** | 100 percent on DataDome, Cloudflare, and Akamai targets in our AI agent benchmark, 99 percent in our API benchmark, and 99.93 percent across its wider target set | Adaptive Stealth Mode evaluates each target's response, then adds browser rendering and premium proxies when the request needs them | Returns JSON through `extract=auto` | The first paid Build plan starts at $16 per month for 45,000 credits. Zenrows charges credits only when a request succeeds | | **Bright Data** | Not included in our benchmarks | Bright Data runs dynamic pages through managed browsers and combines its 400M+ proxy network with request fingerprinting to access protected targets | Returns JSON, NDJSON, and CSV | $1.50 per 1,000 records with pay-as-you-go pricing, or $499 per month for 384,000 records | | **Zyte** | 74.75 percent across four protected targets in our API benchmark | Zyte uses AI to select and rotate proxies, retry blocked requests, and decide when to launch its managed browser | Returns JSON and uses AI to extract supported content types and custom fields | $1.01–$16.08 per 1,000 browser-rendered requests, or $0.13–$1.27 per 1,000 requests that return the HTTP response body | | **ScraperAPI** | 49 percent across four protected targets in our API benchmark | ScraperAPI uses machine learning and statistical analysis to select proxy and header combinations. It launches Chromium when you enable JavaScript rendering | Returns JSON and CSV for selected websites through `autoparse` | $49 per month for 100,000 API credits, US and EU geotargeting, and crawler access | | **Oxylabs** | Not included in our benchmarks | Oxylabs uses machine learning to rotate proxies and AI to manage browser fingerprints. Its browser instructions also let you interact with dynamic pages during rendering | Returns raw HTML, Markdown, or PNG and uses an optional AI parser to produce structured JSON | Plans start at $49 per month. Usage starts at $0.50 per 1,000 successful results without JavaScript rendering and $1.35 with rendering | ## How We Measured Success Rate and Response Time Both benchmarks sent the same repeated requests through each provider to the same targets, and counted a request as successful only when it returned an HTTP 200 status with a valid page title or meaningful data. The API benchmark ran 100 requests per target at 2 requests per second against Zim, Glassdoor, Idealista, and Indeed. The table below shows the [web scraping API benchmark](/blog/best-web-scraping-apis-benchmarked) results, copied from the published benchmark page. In the separate [AI agent benchmark](/blog/best-web-scraping-api-for-ai-agents), Zenrows also returned a 100 percent success rate on the DataDome, Cloudflare, and Akamai targets. | Provider | Success rate | Average response time | | :---- | :---- | :---- | | Zenrows | 99.00% | 9.1 s | | Zyte | 74.75% | 14.3 s | | ScraperAPI | 49.00% | 36.0 s | For real-time data, both columns matter. A failed request means a missing record, and a slow one means the record is older by the time it reaches your system. **In the API benchmark, Zenrows had the highest success rate and the fastest average response time.** ## What Real-Time Data Means in Web Scraping In real-time web scraping, the data is the page as it stands when your application asks for it. There are two ways to collect it. An on-demand request fetches a page the moment an application, a user, or an AI agent needs it. A scheduled collection revisits the same URLs at a set interval, so a price or stock change reaches your system on the next run. Most real-time data scraping pipelines combine both. In each case, the scraping API has to return the live page on every attempt, which is why protected access and rendering decide how fresh your data is. ## What Makes a Web Scraping API Reliable for Real-Time Data **A reliable web scraping API consistently returns current, usable data**, even when a site blocks automated traffic or loads critical information through JavaScript. [Web Application Firewalls (WAFs)](/glossary/web-data-access/what-is-a-web-application-firewall) and [anti-bot systems](/glossary/web-data-access/what-is-an-anti-bot-system) such as Cloudflare, DataDome, and Akamai inspect a request's IP address, browser identity, headers, and behavior. They can block the request, serve a challenge page, or return cached content after the underlying data has changed. Any of these outcomes interrupt real-time data collection and feed incomplete or outdated records to downstream systems. Managed APIs maintain [protected site access](/glossary/web-data-access/what-is-protected-web-access) by rotating IP addresses and selecting the suitable proxy type and location for each target. They also align [Transport Layer Security (TLS) fingerprints](/glossary/web-data-access/what-is-tls-fingerprinting) and headers with browser traffic, preserve sessions, and solve CAPTCHA challenges. When a target blocks a request pattern or applies regional restrictions, the API adjusts the configuration. The web scraping API must also **execute JavaScript when a site loads time-sensitive data after the initial HTML response**. Websites built with frameworks such as React and Vue load prices, stock status, or search results dynamically. A reliable API launches a managed [headless browser](/glossary/web-data-access/what-is-a-headless-browser), executes the page scripts, waits for the required elements to load, and extracts the updated content. Zenrows, Bright Data, Zyte, ScraperAPI, and Oxylabs retrieve real-time web data, but they differ in how they access protected sites, render dynamic content, structure the output, and calculate usage costs. ## How Each API Handles Bot Detection and JavaScript Rendering Zenrows and Zyte select proxy and browser configurations automatically. Bright Data and Oxylabs combine large proxy networks with managed browsers, while ScraperAPI lets developers enable [JavaScript rendering](/glossary/web-data-access/what-is-javascript-rendering) manually. ### Zenrows ![Zenrows homepage: reliable web data when the web fights back](/blog/_img/real-time-api-zenrows-homepage.png) [Zenrows Fetch](/products/fetch) handles bot detection reliably using [Adaptive Stealth Mode](https://docs.zenrows.com/fetch/features/adaptive-stealth-mode) (`mode=auto`). It starts each request with a lightweight configuration, then adds Premium Proxies and JavaScript rendering if the target blocks the request or loads content dynamically. This configuration allows a real-time web data extraction pipeline to keep retrieving data as the site changes its protections, without requiring you to manually adjust settings for every request. Zenrows publishes a 99.93 percent success rate when accessing Cloudflare, DataDome, PerimeterX, and Akamai-protected sites, and it scored 100 percent on the DataDome, Cloudflare, and Akamai targets in our AI agent benchmark. Here is how to retrieve the current version of a protected Amazon product page using `mode=auto` and verify the response from its page title. Both scripts in this article are in the [real-time-web-data-zenrows repository on GitHub](https://github.com/ZenRows/real-time-web-data-zenrows). ```python # pip install requests python-dotenv import html import os import re import requests from dotenv import load_dotenv load_dotenv() API_KEY = os.environ.get("ZENROWS_API_KEY") TARGET_URL = "https://www.amazon.com/dp/B0CHWRXH8B" params = { "url": TARGET_URL, "apikey": API_KEY, "mode": "auto", } response = requests.get( "https://api.zenrows.com/v1/", params=params, timeout=180, ) response.raise_for_status() title_match = re.search( r"]*>(.*?)", response.text, re.IGNORECASE | re.DOTALL, ) if not title_match: raise ValueError("The response does not contain a page title.") page_title = html.unescape(title_match.group(1)).strip() print(f"Status code: {response.status_code}") print(f"Page title: {page_title}") ``` Output: ``` Status code: 200 Page title: Amazon.com: Apple AirPods Pro (2nd Generation) Wireless Ear Buds with USB-C Charging, Up to 2X More Active Noise Cancelling Bluetooth Headphones, Transparency Mode, Adaptive, Personalized Spatial Audio, White : Electronics ``` The example reads the page title from Zenrows Fetch's default HTML response to confirm that Amazon returned the requested product page. You can convert the full response to Markdown, plaintext, or PDF with the `response_type` parameter. When a real-time pipeline needs structured fields instead of the full page, [Zenrows Extract](https://docs.zenrows.com/extract/setup) (`extract=auto`) returns JSON without requiring CSS selectors or a custom parser. This structured output reduces the preprocessing required before sending data to downstream applications. **Zenrows uses credit-based pricing and [bills only successful requests](/glossary/web-data-access/what-does-pay-per-successful-request-mean)**. The first paid tier starts at $16 per month for 45,000 credits. A basic request consumes one credit, JavaScript rendering costs five credits, Premium Proxies cost ten credits, and a request that combines both features consumes 25 credits. For real-time workloads, the final cost depends on how often your target requires browser rendering and protected-site access. ### Bright Data ![Bright Data homepage: the web's data, unlocked](/blog/_img/real-time-api-bright-data-homepage.png) [Bright Data](/blog/best-bright-data-alternative-for-self-service-scraping) approaches protected web access through its proxy infrastructure, which includes 400M+ residential IPs across 195 countries, 1.3M+ datacenter IPs, and 1.3M+ ISP proxies. Its Scraper API routes requests through this proxy pool and manages TLS fingerprint generation and CAPTCHA challenges when accessing protected sites. The proxy network also enables real-time pipelines to retrieve location-specific data. For supported targets such as Amazon, TikTok, LinkedIn, and Google Maps, Bright Data provides 100+ pre-built scrapers with predefined data fields. Its managed browsers execute JavaScript before extracting dynamic content, and the scrapers return the retrieved records in JSON, NDJSON, or CSV. Bright Data charges $1.50 per 1,000 records it successfully delivers, regardless of page complexity. At that rate, 100,000 records from a basic HTML page cost $150, and 100,000 records from a protected, JavaScript-heavy page cost the same amount. The free tier includes 5,000 records per month. Bright Data also offers a fixed plan at $499 per month, covering 384,000 records. This pricing model fits enterprise teams that need broad geographic coverage and high-volume data from defined targets without maintaining the underlying browser and proxy infrastructure. ### Zyte ![Zyte homepage: web data, solved](/blog/_img/real-time-api-zyte-homepage.png) [Zyte](/blog/best-zyte-alternatives-for-anti-bot-scraping) recorded a 74.75 percent success rate across four protected targets in our web scraping API benchmark, with an average response time of 14.3 seconds. Zyte API uses AI algorithms to manage IP addresses, generate TLS fingerprints, and retry requests rejected by Cloudflare, DataDome, and other anti-bot systems. It can also preserve cookies, IP addresses, and network state across requests for real-time workflows that need to follow a session across multiple pages. On JS-heavy sites, Zyte runs a managed browser that supports page actions and network capture, and can return browser-rendered HTML, a screenshot, or both data types. Zyte also uses AI models to parse e-commerce data, articles, and job postings into structured JSON. Search engine results use a separate non-AI extractor. For developers building news aggregators and job boards, the AI extractor returns structured fields such as headlines, publication dates, roles, companies, and locations for indexing new content. Zyte charges based on the target's difficulty and whether the request needs a browser. On the pay-as-you-go plan, 1,000 successful HTTP responses cost between $0.13 and $1.27, while 1,000 browser-rendered responses cost between $1.01 and $16.08. Standard plans support up to 3,000 requests per minute, although individual websites may have lower limits. New accounts receive $5 in credit for a 30-day trial. Manually setting the IP type to residential requires business verification after the trial, and residential traffic can also increase the request cost. ### ScraperAPI ![ScraperAPI homepage: scale data collection with a simple API](/blog/_img/real-time-api-scraperapi-homepage.png) [ScraperAPI](/blog/scraperapi-alternative-for-anti-bot-bypass) uses machine learning and statistical analysis to select proxy and header combinations, generate cookies, and rotate IP addresses for each request. It retries the request through a different route when it detects a known CAPTCHA or block page. This process does not cover CAPTCHAs permanently embedded in forms or buttons, which [ScraperAPI's documentation](https://docs.scraperapi.com/resources/faq/anti-bots-and-captchas) explicitly states require a third-party CAPTCHA-solving service. ScraperAPI recorded a 49 percent success rate across four protected targets in our web scraping API benchmark, the lowest result among the providers we tested, with an average response time of 36 seconds. For pages that require JavaScript, developers must set `render=true`. ScraperAPI then routes the request through Chromium, executes the page scripts, and returns the rendered HTML. Its documentation [warns that browser rendering adds latency](https://docs.scraperapi.com/resources/faq/js-rendering) and reduces both the success rate and the number of requests the API processes within a given period. These limits can affect systems that refresh data frequently or collect from multiple sources at scale. ScraperAPI returns HTML by default, with Markdown and text available through the `output_format` parameter. Setting `autoparse=true` returns structured JSON or CSV on selected websites like Google, Amazon, Walmart, eBay, and Redfin. Pricing starts at $49 per month for 100,000 API credits. That allowance covers 100,000 standard pages only when each request consumes one credit. Using JavaScript rendering raises the cost to ten credits per request, reducing the credit allowance to 10,000 rendered pages. Rendering with premium proxies uses 25 credits, while combining JavaScript rendering with ultra-premium proxies uses 75 credits, which covers roughly 3,300 heavily protected pages. Calculate your expected volume from the features each target requires, rather than the advertised 100,000 credits. ### Oxylabs ![Oxylabs homepage: fresh web data for grounding AI agents](/blog/_img/real-time-api-oxylabs-homepage.png) Oxylabs provides preconfigured Web Scraper API endpoints for search engines, e-commerce platforms, real estate sites, travel websites, and other common targets. Behind these endpoints, it uses machine-learning-driven proxy rotation, AI [browser fingerprinting](/glossary/web-data-access/what-is-browser-fingerprinting), and a network of 175M+ residential IPs to access protected sites. Developers can also use the `geo_location` parameter to retrieve localized data like search results, property listings, and travel availability. The API can return raw HTML, Markdown, PNG screenshots, or parsed JSON. Oxylabs uses OxyCopilot, an AI parser that generates parsing instructions from natural-language requirements, but you can manually define extraction logic with CSS and XPath using the Custom Parser feature. Setting the `render` parameter launches a managed browser for JavaScript-heavy pages, while their browser instructions feature enables clicking elements, completing fields, and waiting for content before the API returns the result as HTML or a Base64-encoded PNG screenshot. The Web Scraper API starts at $49 per month, and the free plan covers up to 2,000 results at 10 req/s. On the entry plan, 1,000 successful results without JavaScript cost $0.50 for Amazon, $1 for Google, and $1.15 for other websites. The rate increases to $1.35 per 1,000 results when the request requires JavaScript rendering. At $1.35, collecting 100,000 results costs $135, nearly three times the $49 monthly commitment. These per-result charges will add up as the request volume grows, so Oxylabs suits enterprise teams with recurring, large-scale data needs and the budget to support them. ## Real-Time Use Cases and Which API Fits A product pricing monitor, news aggregator, and AI training pipeline all depend on current web data, yet each requires a different site coverage, request capacity, output format, and localization. The use cases below show why Zenrows fits dynamic pricing, inventory monitoring, and AI training data, where protected access and recurring collection decide the result, and where Zyte's article extractor and ScraperAPI's SERP endpoint fit news and rank tracking. | Real-time use case | Best fit | Why | | :---- | :---- | :---- | | Dynamic pricing on e-commerce sites | Zenrows | Protected, JavaScript-heavy product pages collected on a schedule with Fetch, Extract, and Batch | | Financial data and news | Zyte | AI article extractor returns headlines, bodies, and dates as JSON | | AI training data collection | Zenrows | `mode=auto` adjusts to each source and returns Markdown or JSON | | Inventory monitoring | Zenrows | Scheduled Batch jobs with a proxy country per market | | SEO and SERP rank monitoring | ScraperAPI | Dedicated Google SERP endpoint with country and domain parameters | ### 1. Dynamic Pricing on E-Commerce Sites Multi-marketplace monitoring requires a consistent record of the same product across retailers, and collecting its current price, discount, currency, and seller details. Retail product pages are protected, JavaScript-heavy, and checked again and again, which is the workload Zenrows Fetch and [Batch](/products/batch) cover. `mode=auto` retrieves each product page through the configuration it needs, [Extract](/products/extract) returns the pricing and availability fields as JSON, and a scheduled Batch job reruns the same list of product URLs so the monitoring system compares current prices on every run. Setting a proxy country returns the localized version of each page, so you can compare the same product's price and discounts across different markets. Bright Data's pre-built e-commerce scrapers for Amazon, Walmart, Target, and Home Depot also return this data in JSON, NDJSON, or CSV, at $1.50 per 1,000 records for the retailers they cover. For a deeper look at this workload, see our guides to [dynamic pricing data](/use-cases/dynamic-pricing) and [competitive price intelligence](/blog/competitive-price-intelligence-scraping). ### 2. Financial Data and News Zyte API's standard plans have a limit of 3,000 requests per minute and manage retries for blocked requests. A news aggregator or sentiment-analysis system can use that request volume to monitor company websites, press release pages, and financial news sites for earnings reports, acquisitions, and regulatory updates. Its AI article extractor returns the headline, article body, publication date, and images in structured JSON. Browser-rendered requests on the hardest targets cost up to $16.08 per 1,000, so check which of your news sources need a browser before you estimate the bill. For stock prices and other market data on protected finance portals, Zenrows Fetch returns the current page on each request, as covered in our [financial data scraping](/use-cases/financial-data-scraping) guide. ### 3. AI Training Data Collection [AI training](/use-cases/ai-training-data) and retrieval-augmented generation (RAG) datasets often combine static pages, JS-heavy sources, and sites with varying protection levels. Zenrows fits this workload because **`mode=auto` adjusts the request configuration for each source, without building a separate request flow for every page**. Fetch API can return Markdown for document ingestion or structured JSON when the training pipeline needs selected fields. The 99.93 percent success rate also reduces unsuccessful retrievals during large collection jobs. ### 4. Inventory Monitoring Stock availability changes by city, warehouse, or delivery region. Zenrows covers this with a proxy country on each request, so a scheduled Batch job can collect the same SKUs as shoppers in each market see them and update supply-chain systems as regional availability changes. Batch manages the queue, retries, and job status, and a webhook tells your application when the latest results are ready. Oxylabs is the alternative when its dedicated e-commerce endpoints already cover your retailers and you need city or ZIP-level targeting. Its `geo_location` parameter requests data from specific locations, and the endpoints return typed availability and stock fields for Amazon, Walmart, and Target, at $1.35 per 1,000 results once JavaScript rendering is needed. ### 5. SEO & SERP Rank Monitoring Rank trackers need normalized search results for the same keywords across locations and devices. ScraperAPI's dedicated Google search engine results page (SERP) endpoint accepts `country_code` and top-level domain parameters, then returns structured search results as JSON or CSV. This removes the need to parse each results page before sending rankings to an SEO dashboard. Zenrows also returns [Google search results](/scrape/google-search) as JSON through Extract, localized to the market you track with a proxy country. ## What Would Make Another Tool the Right Call Three situations can point to a different setup: you need direct control over a large proxy network, you already run your data retrieval system on Scrapy, or you want to own the entire scraping stack. ### You Need Direct Control Over a Large Proxy Network Choose Bright Data when proxy coverage and routing control matter more than a low entry cost. Its network includes more than 400M+ residential IPs, with country, city, ZIP code, carrier, and autonomous system number (ASN) targeting. Teams using the proxy products directly need in-house engineers to manage routing, sessions, retries, and the surrounding retrieval infrastructure, while the Scraper API handles those components as a managed service. However, Bright Data's pricing and infrastructure depth may be excessive for smaller teams collecting data from static or lightly protected sites. ### You Already Run Scrapy Spiders If you are already running Scrapy spiders, you can add Zyte API without replacing your crawling logic. The integration handles IP selection, retries, browser rendering, and protected access while the existing spiders continue to control navigation and extraction. Zenrows also plugs into existing spiders through its [Scrapy integration](/integrations/scrapy), so the same spiders can route their requests through Fetch. The tradeoff appears in its pricing. Zyte assigns each target and request type to one of five pricing tiers, so a crawl that depends on browser rendering or harder targets will cost significantly more than basic HTTP requests. ### You Want to Own the Entire Scraping Stack Build your own scraper when you need complete control over where it runs and have the engineering capacity to maintain the infrastructure. Requests and Beautiful Soup may be enough for static websites and small request volumes where the initial HTML contains all the required data. However, modern websites require a broader stack. You have to manage proxies, browser fingerprints, headless browsers, CAPTCHAs, sessions, retries, and parser updates when page structures change. Free and open-source tools still require engineering time for development, monitoring, and maintenance, which our breakdown of [web scraping costs](/blog/web-scraping-cost) puts in numbers. **Consider a managed API when site access fixes and parser maintenance start consuming more time than working with the collected data**. ![Managed API or self-hosted scraper: if you need JavaScript rendering and protected-site access out of the box, choose Zenrows; if not, self-hosted may fit when your team can maintain its own proxies and browser infrastructure, and otherwise Zenrows](/blog/_img/managed-api-or-self-hosted-scraper.png) The decision tree above sums up the choice: Zenrows covers both paths unless your team can maintain its own proxies and browser infrastructure. ## Start Collecting Real-Time Data With Zenrows Fetch and Batch Start collecting real-time data with Zenrows Fetch, then move the same request configuration to [Batch](https://docs.zenrows.com/batch/setup) when your pipeline needs to process thousands of pages. Fetch retrieves each page as your application requests it, while Batch processes your full URL list asynchronously as one job. Fetch uses `mode=auto` to choose the request configuration for each target and can return HTML, Markdown, or structured JSON. The free plan provides 5,000 credits per month, with no credit card required. You can send the same requests from the [Zenrows CLI](/cli), the SDKs for Python, Node.js, and Go, or the [Zenrows MCP server](/mcp), which lets AI clients such as Claude and Cursor fetch live pages from a plain-English prompt. Zenrows Batch fits larger collections such as e-commerce catalogs, real estate listings, and business directories. It manages the request queue, retries, and job status while your application submits the URLs and collects the results after processing. For example, an e-commerce pipeline can group Amazon product pages into one Batch job. The code below shows how this request works. ```python # pip install requests python-dotenv import os import requests from dotenv import load_dotenv load_dotenv() api_key = os.getenv("ZENROWS_API_KEY") batch_url = "https://async.api.zenrows.com/v1/jobs" headers = { "X-API-Key": api_key, "Content-Type": "application/json", } payload = { "type": "regular", "status": "closed", "zenrows_params": { "mode": "auto", "extract": "auto", }, "tasks": [ {"url": "https://www.amazon.com/dp/B0CHWRXH8B"}, {"url": "https://www.amazon.com/dp/B09HM94VDS"}, ], } response = requests.post( batch_url, headers=headers, json=payload, timeout=30, ) response.raise_for_status() job = response.json() print(job["job_id"], job["latest_run"]["status"]) ``` Output: ``` 01M5ERCYJ7TSGP713TNMR1E8XY running ``` Batch also supports recurring schedules and webhooks. You can rerun the same collection at set intervals and notify your application when the latest results are ready. Our [introduction to Batch](/blog/introducing-batch) walks through the job lifecycle in more detail. [Start building free](https://app.zenrows.com/register) and test your real-time workflow against the sites your application needs to access. ## FAQ ### What Web Scraping API Handles Bot Detection Reliably? Zenrows Fetch is the strongest API for websites with active bot protection. Its `mode=auto` settings adjust the request path and can add browser rendering and proxy rotation when the target requires them. ### What Is the Most Reliable Scraping API for JavaScript-Heavy Sites? Zenrows Fetch fits JavaScript-heavy sites because `mode=auto` can combine browser rendering with protected-site access in one request. For pages that require clicks, logins, or persistent browser state, Zenrows also provides [Browser Sessions](https://docs.zenrows.com/browser-sessions/introduction). ### What Is the Best API for Accessing Cloudflare-Protected Websites? Zenrows Fetch is the best fit for Cloudflare-protected pages. It can escalate a standard request to JavaScript rendering and Premium Proxies without requiring separate bypass logic for each target. ### What Should I Use Instead of Firecrawl When Sites Have Bot Detection? Use Zenrows when bot detection prevents [Firecrawl](/blog/best-firecrawl-alternative-for-anti-bot-bypass) from reaching a page or returning complete content. Fetch can retrieve the protected page as HTML, Markdown, or JSON, depending on the format your existing data pipeline requires. ### How Do You Scrape a Website That Uses Bot Detection Without Writing Custom Bypass Logic? Send the target URL through a managed scraping API that handles proxy selection, browser fingerprints, JavaScript rendering, retries, and CAPTCHA challenges. With Zenrows Fetch, `mode=auto` manages that request configuration through one endpoint. ### What Is the Best Web Scraping API for Real-Time Data? Zenrows Fetch offers the strongest overall fit in this comparison for collecting current data from static, JavaScript-rendered, and protected pages. It combines adaptive request handling with HTML, Markdown, and JSON output, while Batch covers larger recurring data collections. ### Which Web Scraping API Is the Fastest for Real-Time Data? Zenrows had the fastest average response time in our web scraping API benchmark, at 9.1 seconds per request across four protected targets, against 14.3 seconds for Zyte and 36.0 seconds for ScraperAPI. It also had the highest success rate in that test, so fewer requests need a second attempt. ### How Much Does a Real-Time E-Commerce Scraping API Cost? Zenrows starts at $16 per month and bills only successful requests, from one credit for a basic page to 25 credits for a page that needs both JavaScript rendering and Premium Proxies. With `mode=auto`, you pay for the configuration that returned the page. Among the other providers in this comparison, Bright Data charges $1.50 per 1,000 records and Oxylabs $1.35 per 1,000 rendered results. ### Is a Web Scraping API the Same as a Real-Time Data API? A real-time data API, such as a stock market or weather feed, publishes its own dataset in a fixed format. A web scraping API retrieves any public page you point it at, so you can collect current data from sites that offer no API at all. Zenrows returns those pages as HTML, Markdown, or structured JSON. ### Can I Try Web Scraping APIs for Free Before Paying? Yes, all the web scraping APIs in this comparison offer free plans or trial credits. Zenrows provides 5,000 credits every month with no credit card required. Test the free allowance against your target pages so you can measure successful retrieval, response time, and output quality before choosing a paid plan.