We extract protocol metrics, tokenomics, governance data, and asset pricing from Messari. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Asset Profiles objects from messari.io. All fields typed and schema-versioned.
"symbol": "ETH", "name": "Ethereum", "sector": "Smart Contract Platform", "category": "Layer 1", "founded_year": 2015, "consensus_algorithm": "Proof of Stake"
| # | symbol | name | sector | category | description | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Market Data objects from messari.io. All fields typed and schema-versioned.
"symbol": "ETH", "price_usd": 3104.25, "volume_24h": 12450291.0, "market_cap": 372049102.0, "circulating_supply": 120140291.0, "ath_usd": 4891.7
| # | symbol | price_usd | volume_24h | market_cap | real_volume | circulating_supply |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Tokenomics objects from messari.io. All fields typed and schema-versioned.
"symbol": "ETH", "inflation_rate": -0.012, "emission_type": "Deflationary", "staking_yield": 3.4, "burn_mechanism": "EIP-1559", "treasury_balance": 0.0
| # | symbol | initial_distribution | inflation_rate | emission_type | staking_yield | burn_mechanism |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Governance objects from messari.io. All fields typed and schema-versioned.
"proposal_id": "AIP-42", "title": "Adjust Risk Parameters", "protocol": "Aave", "status": "Passed", "votes_for": 1402910.0, "votes_against": 4021.0
| # | proposal_id | title | protocol | status | proposer | voting_start |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Fundraising objects from messari.io. All fields typed and schema-versioned.
"project": "Arbitrum", "round_type": "Series B", "date": "2021-08-31", "amount_raised": 120000000.0, "valuation": 1200000000.0, "lead_investor": "Lightspeed"
| # | project | round_type | date | amount_raised | valuation | lead_investor |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Messari scraper navigates complex React applications, bypasses aggressive bot protection, and normalises fragmented asset data into a unified schema.
Extract core profile data, sector classifications, consensus mechanisms, and official links for thousands of crypto assets.
Capture pricing, real volume, market capitalisation, and circulating supply metrics across custom time horizons.
Track total value locked (TVL), active addresses, transaction counts, and revenue figures specific to individual networks.
Extract vesting schedules, inflation rates, emission types, and initial distribution allocations for fundamental analysis.
Monitor active and historical DAO proposals, quorum requirements, voting outcomes, and proposer addresses.
Map private funding rounds, valuations, lead investors, and historical token sale prices for early stage projects.
Parse underlying JSON payloads from interactive charts to reconstruct exact time series data without visual scraping.
Maintain persistent browser sessions and TLS signatures to bypass Messari's strict anti-bot perimeters.
Run pipelines at hourly or daily cadences to capture price movements and new governance proposals as they appear.
Brief in. Clean data out.
Provide asset symbols, sector filters, or specific metrics. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for messari.io.
Schema validation, null-rate checks, and data type normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Financial data platforms invest heavily in scraping detection. Here is how we maintain reliable extraction without IP bans.
Messari uses aggressive Cloudflare protection. Our crawlers use residential ISP proxies with realistic TLS fingerprints, randomised request timing, and automated Turnstile solving via CapSolver.
Messari is a heavy single page application. We intercept the Next.js hydration state and underlying API responses directly, extracting clean JSON payloads rather than parsing volatile DOM elements.
Public endpoints impose strict rate limits. We distribute extraction across thousands of residential IPs, maintaining low request volumes per node to avoid triggering temporal bans.
Crypto metrics vary wildly by protocol. We normalise varying numerical formats, date strings, and scientific notation into strict, typed warehouse columns.
For large asset catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Quantitative funds ingest circulating supply changes and token unlock schedules to adjust pricing models.
Layer 1 and Layer 2 teams track competitor TVL, active addresses, and revenue metrics to benchmark performance.
Venture capital analysts map historical fundraising rounds and lead investor portfolios to identify market trends.
Research firms aggregate sector specific metrics to publish macro reports on crypto adoption and network utility.
Lending protocols monitor governance proposals and parameter changes across integrated DeFi platforms to assess counterparty risk.
Founders study inflation rates and emission curves of successful projects to design sustainable economic models.
"Messari aggregates the fragmented crypto ecosystem into a single unified taxonomy, but operationalising that data requires persistent extraction pipelines."
Crypto data moves fast and changes structure often. Reliable Messari extraction requires handling strict Cloudflare challenges, parsing complex React states, and managing high-frequency polling without IP bans. DataFlirt absorbs that complexity so your quants can focus on alpha generation.
Everything supported by our messari.io scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows.
We maintain pools of residential ISP proxies across US and EU regions. Rotation happens per request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About messari.io scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available market data and protocol metrics is generally permissible. DataFlirt targets only public, non-authenticated asset profiles and pricing data. We do not circumvent authentication walls for paid enterprise tiers. Clients should review Messari terms of service.
We use residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and automated Turnstile solving. We monitor for 403 rate spikes in real time and trigger pool rotation automatically.
We support daily, hourly, and custom interval pipelines. High frequency runs focus on specific asset subsets to maintain SLA and avoid rate limiting.
Yes. We parse the underlying data payloads from interactive charts to reconstruct historical time series for price, volume, and market capitalisation.
No. We extract the metadata, titles, and public summaries of research reports, but the full text requires a paid Messari Pro account, which we do not circumvent.
Yes. We provide a sample run of up to 100 asset profiles or recent governance proposals during the scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily dump of tokenomics data or continuous governance proposal tracking, we scope, build, and operate the pipeline. Tell us what you need.
