MegaIndex Scraper API is a managed API for turning publicly available web pages into structured, ready-to-use data. It is built for analytics, SEO monitoring, market research, price monitoring, AI agents, internal tools, and data pipelines that need current web page content in a clean and usable format.
Web Scraping API
Managed browser automation for public web data workflows. Render JavaScript pages, maintain stable sessions, handle retries, and extract structured data through one API.
No credit card required 
Instant scraper APIs
AI-ready: Drop-in integration with leading LLM providers
Pay only for successfully delivered results
Retrieve results in multiple formats
Trusted by 400,000+ customers worldwide
How it works
Send URLs and get clean, structured public web data back. MegaIndex handles managed browser sessions, retries, cookies, JavaScript rendering, and structured extraction, so your team can run data workflows at scale without building its own browser automation infrastructure.
Contact sales
Need help with Scraper API access, integration, pricing, or enterprise usage? Contact the MegaIndex team to discuss your scraping and automation requirements.
MegaIndex Scraper API vs other scraping setups
Compare built-in scraping infrastructure with other scraping setups across automation, rendering, retries, features support, and output formats.
MegaIndex Scraper API
Proxy-based scraper
Generic scraping provider
DIY scraper
Auto scale
Partial
Partial
Connection management
Partial
Anti-bot bypass
Partial
Partial
JavaScript rendering
Partial
Partial
Verification workflow support
Partial
Structured output
Partial
Request retries
Partial
Partial
Multiple result formats
Partial
How to get started
Start scraping with API request. Send a URL to MegaIndex Scraper API and get structured results back as HTML, markdown, JSON, or screenshot output.
Integrations
Python SDK
JS/TS SDK
Lovable
Zapier
Make
n8n
Dify
Langchain
Langflow
CrewAI
LlamaIndex
Flowise
Composio
CAMEL-AI
Pipedream
Praison AI
Pricing
Start free, then scale when your automation needs more browser sessions, higher concurrency, and dedicated support.
Free
Free test plan - $0 for 1 GB. For developers testing Scraper API and building their automation workflows.
$0
/ GB
Start with included scraping credits and connect through API requests from your backend, scripts, or automation tools.
Start for free-
API access
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Limited scraping credits
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Request logs
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Connection configuration
Dev
For developers testing Scraper API and building first data workflows.
$2.5
/ GB
Custom paid plan based on your traffic volume, concurrency requirements, workflow setup, and support needs.
Quick start-
API access
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Included scraping credits
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Request logs
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Managed scraping workflow handling
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Dedicated support
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Zero-data retention
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SSO
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Advanced security
Enterprise
For teams running high-volume scraping with custom limits, dedicated capacity, and priority support.
Custom
Get a plan tailored to your traffic volume, concurrency needs, proxy setup, and support requirements.
Contact sales-
API access
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Limited scraping credits
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Request logs
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Managed scraping workflow handling
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Scrape unlimited
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Dedicated support
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Bulk discounts
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Zero-data retention
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SSO
-
Advanced security
Managed web scraping infrastructure
MegaIndex combines browser automation, retry handling, JavaScript rendering, session management, and data extraction in one API. Send URLs and get structured public web data back without building your own scraper stack.
Managed browser connectivity
Configure how browser sessions connect to websites using regional settings, session rules, and automatic retry handling for stable public web data workflows.
Verification workflow handling
Define how browser workflows continue when a page requires additional verification, review, or user interaction.
JavaScript rendering
Render dynamic pages when regular HTTP requests cannot access content loaded by scripts, lazy loading, or client-side frameworks.
Automatic retries
Recover from timeouts, redirects, temporary errors, blocked responses, and unstable pages with managed retry logic.
Structured output
Get results as HTML, markdown, JSON, screenshots, or extracted data ready for analytics, AI agents, and automation workflows.
Request inspection
Inspect request status, debug failed jobs, track usage, and understand how each scraping workflow performs.
Built for dynamic, protected, and data-heavy websites
Modern websites often load data through JavaScript, XHR/fetch requests, lazy loading, cookies, session state, and dynamic browser behavior. MegaIndex Scraper API is built for cases where a basic HTTP client or simple request script does not return stable results.
Compatible with scraping and data pipelines
Connect Scraper API to crawlers, backend services, ETL jobs, databases, dashboards, AI agents, and internal automation tools. Your system sends target URLs and request parameters through the API, while MegaIndex handles execution, proxy routing, retries, rendering, and response cleaning.
Managed connectivity and retry logic included
Use configurable connection settings, regional options, session-aware workflows, and automatic retries without building this layer yourself. This helps reduce timeout errors, unstable page loads, and inconsistent data collection behavior.
Scraping without infrastructure overhead
Run large-scale public web data workflows through a managed API instead of maintaining browser infrastructure, session logic, retry queues, request logs, and rendering systems. MegaIndex returns prepared results while your team focuses on parsing, storage, analysis, and product logic.
Why AI agents need a web data layer
AI agents do not fail because of reasoning alone. They fail when the data layer cannot reach the page, render dynamic content, handle access issues, filter out noise, extract the right fields, or return results in a format the workflow can use.
Discover
Find relevant public pages or process known target URLs and retrieve usable page content.
Scrape
Load public web pages with managed browser sessions, retry handling, JavaScript rendering, and stable workflow execution.
Extract
Return markdown, HTML, JSON, screenshots, or structured data ready for AI agents, apps, and data pipelines.
Training data gets stale
Models only know the web up to a certain point. The page an agent needs may have changed recently, been redesigned, or not existed when the model was trained.
MegaIndex gives agents live access to public web data through Scraper API instead of forcing them to rely on static training data.
Raw pages are noisy
HTML pages include navigation, ads, scripts, cookie banners, duplicated blocks, hidden elements, and boilerplate. This forces agents to spend tokens separating useful content from page clutter.
MegaIndex prepares cleaner outputs, so AI workflows can use relevant content instead of processing the entire raw page.
Agents need structured data
When an agent needs information about a company, product, website, article, or market, it should not have to crawl pages, parse layouts, and guess which fields matter.
MegaIndex can return structured outputs such as metadata, page content, screenshots, extracted fields, and entity-level signals that agents can use directly.
Data layer for agent workflows
Connect to AI agents through API, CLI, Skills, or MCP. One connection gives your agent live access to public web data without making your team build browser automation, rendering, cleanup, and extraction infrastructure.
Your agent sends a request. MegaIndex collects the data, processes the response, normalizes the output, and returns markdown, JSON, screenshots, or structured data ready to use.
Scale scraping and data extraction workflows
Data collection
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Process large URL batches through one API
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Collect public web data at scale
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Run recurring scraping, monitoring, and enrichment jobs
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Send results to databases, data warehouses, dashboards, and analytics tools
Access and reliability
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Use rotating proxies and geo-targeted routing
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Recover from timeouts, failed requests, and blocked responses
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Render JavaScript-powered pages when static requests are not enough
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Handle verification workflows when additional review or user interaction is required
AI-ready
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Return markdown, HTML, JSON, screenshots, or structured data
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Filter out boilerplate, duplicated blocks, and page noise before analysis
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Connect to AI agents, MCP clients, and automation tools
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Feed fresh web data into search, research, and enrichment workflows
Compliance
Scraper API is built for lawful and responsible access to publicly available web data. It supports legitimate workflows such as SEO research, market analysis, website monitoring, brand intelligence, AI agent workflows, public data collection, accessibility tools, and testing systems you own or are authorized to test.
You may use MegaIndex to collect and process publicly available information when you have a lawful basis and your workflow respects applicable laws, website terms, privacy requirements, contracts, and third-party rights.
MegaIndex must not be used for illegal, deceptive, abusive, or unauthorized activity. Prohibited use includes phishing, spam, fraud, credential stuffing, account takeover, fake account creation, payment abuse, accessing or collecting private or confidential data, targeting systems without permission, bypassing access controls, or collecting data in ways that violate laws, rights, or contractual obligations.
Users are responsible for how they use the service. We review abuse reports and may restrict or terminate access for harmful, unlawful, or prohibited use.
Data protection
MegaIndex provides information about privacy, account data, payment data, and data processing practices in its legal documents. Customers operating under GDPR or similar privacy frameworks should review the applicable policies and use Scraper API in line with their own compliance obligations.
FAQ
Use Scraper API when your team needs a URL-based workflow: send a page URL, process it through a managed API, and receive prepared data back. Production data workflows often need rendering, retries, session continuity, logs, result formatting, and consistent processing behavior.
Scraper API is designed for data collection workflows where you send URLs and receive prepared results back. Cloud Browser API is better when your application needs direct control over a live browser session.
A regular HTTP client sends a request and returns a raw response. Scraper API adds managed rendering decisions, retries, session behavior, parsing support, logs, result formatting, and infrastructure around the request flow.
Yes. MegaIndex Scraper API can process pages where useful content becomes available only after JavaScript rendering.
Yes. MegaIndex Scraper API is designed to return clean, structured results instead of forcing your team to work only with raw HTML.
Yes. MegaIndex Scraper API is designed for repeatable production data workflows.
Yes. MegaIndex Scraper API includes retry handling and workflow-level error management for unstable page loads, temporary failures, timeout errors, and inconsistent responses.
Yes. MegaIndex Scraper API supports configurable workflow settings for session behavior, cookies, repeated tasks, localization checks, and cases where consistent processing behavior matters.
Yes. AI agents can use MegaIndex Scraper API to access current public web data through a controlled API workflow.
MegaIndex Scraper API can return prepared outputs suitable for application and data workflows, such as extracted content, page text, metadata, structured fields, and other task-specific results depending on the workflow.
MegaIndex Scraper API is useful for collecting data from publicly available web pages, SEO monitoring, price monitoring, market research, competitive analysis, content monitoring, data enrichment, analytics pipelines, AI agent data access, and internal tools that need current web page content.
Yes. MegaIndex Scraper API is built for production data workflows and helps teams avoid maintaining custom infrastructure for page loading, rendering, retries, session behavior, task queues, logs, result preparation, and operational monitoring.
MegaIndex Scraper API must be used only for lawful, responsible, and compliant data workflows. It must not be used for account abuse, credential attacks, spam, fraud, unauthorized access, privacy violations, harmful automation, or activity that breaks applicable laws, platform rules, or third-party rights.
