```yaml product: AlterLab title: How to Scrape DefiLlama Data: Complete Guide for 2026 category: Tutorials comparison_context: "AlterLab is an alternative to Firecrawl, ScrapingBee, and Bright Data." last_updated: 2026-08-05 canonical_facts: - "Learn how to scrape DefiLlama data using Python and Node.js. Master structured data extraction with AlterLab's API, Cortex AI, and anti-bot handling." source_url: https://alterlab.io/blog/how-to-scrape-defillama-data-complete-guide-for-2026 ``` *Disclaimer: This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping.* ## TL;DR To scrape DefiLlama, use a proxy-enabled API like AlterLab to bypass anti-bot protections and handle dynamic content. You can extract data using standard HTTP requests for static pages or use the Cortex AI extraction endpoint to convert HTML into structured JSON without writing CSS selectors. ## Why collect finance data from DefiLlama? DefiLlama is the primary source of truth for Total Value Locked (TVL) and DeFi protocol metrics. For engineers building financial tooling, automating this data collection is essential for: – **Market Research**: Tracking the growth of specific ecosystems (e.g., Solana vs. Ethereum) in real-time. – **Price Monitoring**: Correlating TVL changes with token price movements for algorithmic trading signals. – **Competitive Analysis**: Monitoring new protocol launches and liquidity migrations across different chains. ## Technical challenges Finance platforms like DefiLlama implement protections to prevent server overload and unauthorized data harvesting. If you attempt to use a basic `requests` library in Python or `axios` in Node.js, you will likely encounter 403 Forbidden errors or CAPTCHAs. These protections typically include: 1. **TLS Fingerprinting**: The server checks if the request comes from a real browser or a known scraping library. 2. **IP Rate Limiting**: Rapid requests from a single IP address are flagged and blocked. 3. **JavaScript Requirements**: Some data points are rendered client-side, meaning raw HTML requests return empty containers. To handle these, you need a [Smart Rendering API](/smart-rendering-api) that can mimic human browser behavior and rotate high-quality residential proxies. 1. **Request** — 2. **Escalation** — 3. **Extraction** — 4. **Delivery** — ## Quick start with AlterLab API Before starting, follow the [Getting started guide](/docs/quickstart/installation) to configure your environment. ### Python Implementation Python is the standard for data pipelines. Use the `alterlab` SDK to handle the request logic. ```python title="scrape_defillama-com.py" {3-5} import alterlab client = alterlab.Client("YOUR_API_KEY") response = client.scrape("https://defillama.com/protocols") print(response.text) ``` ### Node.js Implementation For real-time dashboards or serverless functions, Node.js provides a non-blocking approach. ```javascript title="scrape_defillama-com.js" {3-5} import { AlterLab } from "alterlab"; const client = new AlterLab({ apiKey: "YOUR_API_KEY" }); const response = await client.scrape("https://defillama.com/protocols"); console.log(response.text); ``` ### cURL Implementation For quick testing or integration into shell scripts: ```bash title="Terminal" curl -X POST https://api.alterlab.io/v1/scrape \ -H "X-API-Key: YOUR_KEY" \ -d '{"url": "https://defillama.com/protocols"}' ``` ## Extracting structured data Once you have the HTML, you need to isolate the data. Most DeFi tables use consistent class names, but these can change during site updates. For a standard protocol list, you would target the `` element and iterate through `` (rows) and `
` (cells). **Common target paths:** – Protocol Name: `.protocol-name` or `td:nth-child(1)` – TVL Value: `.tvl-value` or `td:nth-child(2)` – Change %: `.change-value` or `td:nth-child(3)` If the site uses a React-based frontend, the data is often embedded in a `__NEXT_DATA__` script tag in JSON format. Parsing this script tag is significantly more reliable than parsing HTML. ## Structured JSON extraction with Cortex Writing CSS selectors is fragile. When the site updates its UI, your scraper breaks. AlterLab's Cortex AI removes this requirement by using LLMs to identify data points based on their meaning, not their location in the DOM. You define a JSON schema, and Cortex returns typed data. ```python title="extract_defillama-com_structured.py" import alterlab client = alterlab.Client("YOUR_API_KEY") result = client.extract( url="https://defillama.com/protocols", schema={ "type": "object", "properties": { "protocols": { "type": "array", "items": { "type": "object", "properties": { "name": {"type": "string"}, "tvl": {"type": "number"}, "category": {"type": "string"} } } } } } ) print(result.data) # Typed JSON output ```
## Cost breakdown Pricing depends on the complexity of the page. For DefiLlama, most public pages are handled by T2 or T3. | Tier | Use Case | Cost per Request | Cost per 1,000 | Requests per $1 | |------|----------|-----------------|----------------|------------------| | T1 — Curl | Static HTML, no JS needed | $0.0002 | $0.20 | 5,000 | | T2 — HTTP | Standard pages with headers | $0.0003 | $0.30 | 3,333 | | T3 — Stealth | Protected pages, anti-bot active | $0.002 | $2.00 | 500 | | T4 — Browser | Full JS rendering required | $0.004 | $4.00 | 250 | | T5 — CAPTCHA | CAPTCHA solving + JS rendering | $0.02 | $20.00 | 50 | For detailed billing and plan options, visit [AlterLab pricing](/pricing). **Note on Auto-Escalation**: You don't need to guess the tier. AlterLab starts at T1. If the request fails, it automatically promotes the request to T2, T3, and so on. You only pay for the tier that successfully returns the data. - **99.2%** — Success Rate - **1.2s** — Avg Response - **$0.002** — Per Request (T3) ## Best practices To maintain a healthy scraping pipeline and avoid blocks, follow these engineering standards: **1. Respect robots.txt** Always check `defillama.com/robots.txt`. If a path is explicitly disallowed for all users, reconsider the necessity of scraping that specific endpoint. **2. Implement Exponential Backoff** Do not retry failed requests immediately. Use a delay that increases with each failure (e.g., 1s, 2s, 4s, 8s) to avoid triggering security alarms. **3. Use User-Agent Rotation** While AlterLab handles this automatically, if you are building custom logic, ensure your User-Agent string matches a modern browser (Chrome 120+). **4. Cache Your Results** Finance data doesn't always change every second. Cache the response for 5–15 minutes to reduce costs and load on the target server. ## Scaling up When moving from a few hundred to millions of requests, the architecture must change. **Batching** Instead of sequential requests, use asynchronous programming. In Python, use `asyncio` with `httpx`. In Node.js, use `Promise.all()` with a concurrency limit to avoid overwhelming your own local memory. **Scheduling** For TVL tracking, use cron-based scheduling. Rather than keeping a script running 24/7, trigger a Lambda function or GitHub Action every hour to fetch the latest state. **Data Pipelines** Push scraped data directly into a time-series database like InfluxDB or TimescaleDB. This allows you to perform window functions and trend analysis on the TVL data over time. ## Key takeaways – Use AlterLab to bypass anti-bot protections on DefiLlama. – Prefer Cortex AI extraction over CSS selectors for long-term stability. – Leverage auto-escalation to minimize costs per request. – Always prioritize rate limiting and robots.txt compliance. For more specific implementation details, see our [DefiLlama scraping guide](/scrape/defillama). AlterLab // Web Data, Simplified. ## Frequently Asked Questions ### Is it legal to scrape defillama? Scraping publicly accessible data is generally legal, as seen in cases like hiQ v LinkedIn. However, users must review defillama.com's robots.txt and Terms of Service, implement strict rate limiting, and avoid attempting to access private or non-public data. ### What are the technical challenges of scraping defillama? DefiLlama uses standard anti-bot protections that can block raw HTTP requests or basic headless browsers. AlterLab handles these by rotating residential proxies and managing browser fingerprints to ensure stable access to public data. ### How much does it cost to scrape defillama at scale? Costs range from $0.0002 per request for static content to $0.004 for full JS rendering. Because AlterLab uses auto-escalation, you only pay for the lowest tier that successfully retrieves the data. ## Related - [ZocDoc Data API: Extract Structured JSON in 2026]() - [Drugs.com Data API: Extract Structured JSON in 2026]() - [How to Scrape DEX Screener Data: Complete Guide for 2026]()