Web scraping and crawling API that turns entire websites into clean, structured data ready for AI models to read.
firecrawl.dev
Alternatives to
Context.dev
Best alternatives to Context.dev in 2026
If you've ever wanted your app or an AI agent to "read" a website — pull out prices, articles, or company info — you quickly run into the messy reality of the web: every page is built differently, blocks bots, or buries the data you want inside layers of ads and scripts. Building and maintaining code to handle all of that reliably is a project in itself. Context.dev sells that problem away: you send it a URL, and it hands back clean, structured data, already parsed and ready to use. Context.dev is a web context API platform aimed at developers and AI agents that need reliable access to structured web data — scraping, document parsing, crawling, and structured extraction — without standing up their own scraping infrastructure (proxies, headless browsers, anti-bot handling). It ships SDKs in five languages plus an MCP server, so AI agents built on frameworks that speak MCP can call it directly as a tool. Pricing runs on a credit system: a free tier (500 credits), then Developer at $25/month (10K credits), Pro at $149/month (200K credits), Scale at $499/month (1M credits), and custom Enterprise plans, with credits consumed per successfully scraped page.
Quick comparison of Context.dev alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Teams building RAG pipelines, AI research agents, lead enrichment and competitive intelligence tools | — | |
| 2 | Développeurs | — | |
| 3 | Développeurs | — | |
| 4 | Équipes SaaS Product/Revenue en petite et mid-market cherchant l'analytique de cohortes et churn sans BI complexe | — | |
| 5 | Website owners and teams wanting cookieless analytics with revenue insight | — | |
| 6 | Financial analysts and quantitative researchers needing SEC XBRL fundamentals | — | |
| 7 | Website owners and teams wanting privacy-first analytics with session replay and uptime monitoring | — | |
| 8 | Développeurs voulant présenter leur portfolio GitHub de façon originale, ou trouver des issues open-source abordables | — | |
| 9 | Développeurs construisant des pipelines de capture de données sans infra lourde | — | |
| 10 | Équipes data et ingénierie nécessitant souveraineté des données et contrôle d'infrastructure | — | |
| 11 | Data engineers, analystes, praticiens ML voulant prototyper des pipelines rapidement | — | |
| 12 | Analytics engineers et équipes data utilisant dbt, ayant besoin de données de test réalistes sans accès aux données de production | — |
#1
- ✓ Purpose-built output formats (markdown, JSON schema) for AI consumption
- ✓ Open source with a large, active community
#4
Turns the customer and revenue data already sitting in your Google Sheets into churn, retention and cohort analytics in seconds, no formulas or BI tool required.
jettisheets.com
- ✓ Fonctionne directement dans Google Sheets, zéro migration de données
- ✓ Cohortes, churn et revenue waterfall sans formule ni pivot table
#5
Cookieless, privacy-first web analytics with an AI chat interface — a paid, open-source alternative to Google Analytics.
getopen.so
- ✓ No cookies, no consent banner needed by design
- ✓ Revenue attribution built in (Stripe/Polar)
#6
Extracts standardized S&P 500 fundamental financial data directly from SEC XBRL filings for financial analysis.
xbrlmetrics.com
- ✓ Standardized financial data extracted directly from audited SEC XBRL filings
- ✓ Covers all S&P 500 constituent companies
#7
Privacy-first, cookieless web analytics with session replay, error tracking, and uptime monitoring, open-source and self-hostable.
betterlytics.io
- ✓ Cookieless, privacy-first tracking — no cookie-consent banner needed
- ✓ Open-source (AGPL-3.0) with Docker self-hosting for full data ownership
#8
Turns your GitHub repositories into a walkable 3D town — stars and forks become building height and width — so you can explore a portfolio, or find beginner-friendly open-source issues, as a game instead of a list.
hyeonsangjeon.github.io
- ✓ Visualisation 3D originale et engageante des dépôts GitHub
- ✓ Fonctions pratiques (Quest Board, Repo Route, Twin Towns)
#9
Python library that captures streaming data durably into Iceberg tables with no broker, daemon, or catalog service to run.
github.com
- ✓ Aucune infra (broker/daemon/catalogue) à opérer
- ✓ Durabilité immédiate, fraîcheur sub-seconde
#10
Open-source ETL platform that builds data pipelines visually or in code and runs them on DuckDB, with no vendor lock-in.
duckle.org
- ✓ Gratuit, open source, aucun coût par ligne/connecteur
- ✓ 188+ connecteurs, compilation SQL automatique sur DuckDB
#11
Open-source visual builder for data and ML pipelines that lets you preview each transformation live and export clean pandas/Polars Python code.
ciaren.com
- ✓ Preview live sur données réelles à chaque étape
- ✓ Export en code Python pandas/Polars propre, aucun lock-in
#12
A command-line tool that reads a database schema and generates a full, realistic fake dataset plus a ready-to-run dbt project — no production data or manual scaffolding needed.
github.com
- ✓ Generates both the data AND a complete dbt scaffold (seeds, models, tests, profiles)
- ✓ Preserves foreign-key relationships across tables
FAQ about Context.dev alternatives
- What is the best alternative to Context.dev in 2026?
- Based on our selection, Firecrawl is the best alternative to Context.dev in 2026. Web scraping and crawling API that turns entire websites into clean, structured data ready for AI models to read.. See our full ranking above to compare all options.
- Is Context.dev free?
- Context.dev is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Context.dev are there?
- mySelectas has listed 12 alternatives to Context.dev in the Data & Analytics category. Our selection is updated regularly to include the best options available.