
One API to scrape, enrich, and extract the internet
By Tanmay Verma, Founder · Last verified 05 Jul 2026
In short
Context.dev — One API to scrape, enrich, and extract the internet. Best for Developers building data pipelines, Data scientists needing fresh web data, Automation engineers integrating scraping into workflows. Free to start; paid plans from $59/mo.
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Context.dev reduces scraping friction with pre-built extractors and a low-code builder. Great for developers needing reliable data extraction, but free tier is tight (100 API calls, 1 concurrent request) and advanced enrichment locked to Pro+. Consider ScrapingBee or Apify if you need higher concurrency at lower tiers.
Skip Context.dev if Skip Context.dev if you need high-concurrency scraping at a low price point or a fully GUI-driven tool with no API involvement.
Compare with: Context.dev vs SheetAI.app, Context.dev vs Thunderbit, Context.dev vs GPT for Sheets and Docs
Last verified: July 2026
How likely is Context.dev to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Context.dev is a unified API platform that simplifies web data extraction, enrichment, and transformation into structured formats. It abstracts away proxies, headless browsers, and anti-bot measures so developers can focus on data quality. You get pre-built extractors for LinkedIn, Google Maps, and 50+ other sites, plus a low-code builder for custom targets. Outputs include JSON and CSV, with webhook delivery, schedule triggers, and automatic retry. Integrates as a no-code plugin for Zapier, Bubble, Retool, Make, n8n, Google Sheets, Airtable, Supabase, and Pipedream. Key differentiators: intelligent error handling, automatic proxy rotation, and a response-time SLA under 5 seconds (on Growth+ plans). Targeting developers, data scientists, and automation engineers who need reliable, scalable scraping without operational overhead.
Context.dev is a solid pick if you're building data pipelines and want a single API to handle proxies, headless browsers, and anti-bot challenges. The pre-built extractors for LinkedIn and Google Maps are a time-saver, and the low-code builder covers custom sites. Output options (JSON, CSV, webhooks) and integrations with Zapier, Bubble, Retool, Make, n8n, Google Sheets, Airtable, Supabase, and Pipedream make it flexible for automation workflows. Strengths include automatic proxy rotation, caching, and retry logic — details that matter when scraping at scale. Weaknesses: free tier is very limited (100 calls, 1 concurrent), and concurrent request caps on Growth (5) and Pro (20) may frustrate heavy users. Some data enrichment features (email, social) are gated behind Pro or Scale. Also, real-time scraping isn't supported — batch only. Best fits for developers and teams already comfortable with APIs. Non-technical users may struggle despite the no-code plugin option. Compared to competitors like ScrapingBee (lower concurrency limits) and Apify (broader ecosystem), Context.dev strikes a good balance of ease-of-use and power, but pricing can climb quickly with scale.
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Concrete scenarios for the personas Context.dev actually fits — and what changes day-one when you adopt it.
You need to scrape product prices from multiple e-commerce sites daily. Using Context.dev's pre-built extractors for Amazon and Walmart, you set up scheduled webhooks to dump JSON into your database.
Outcome: Prices updated automatically every 24 hours with minimal code, saving hours of manual scraping.
You have a list of company URLs and need LinkedIn profiles and company info. You feed URLs via the API, enable enrichment, and export enriched CSV.
Outcome: Leads enriched with contact details in minutes, ready for analysis and outreach.
You configure scrapers for Indeed and LinkedIn Jobs using the low-code builder, set up a schedule trigger, and pipe data to Airtable via the Zapier integration.
Outcome: Job listings automatically populate a central database, enabling real-time market analysis.
as of 2026-07-02
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Context.dev tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/month
Ideal for
Developers evaluating the API or building a proof-of-concept with minimal call volume (100 calls).
What this tier adds
Free entry point; includes low-code builder but only 1 concurrent request and no SLA.
Growth
$59/month
Ideal for
Small teams running regular scraping tasks (up to 5K calls/month) needing email support and 5 concurrent requests.
What this tier adds
Adds 5 concurrent requests, email support, and advanced data enrichment vs. Free.
Pro
$199/month
Ideal for
Growing teams with 25K monthly calls requiring priority support and custom integrations.
What this tier adds
Increases concurrency to 20, adds priority support and custom integrations vs. Growth.
Scale
$399/month
Ideal for
Heavy users processing 100K calls monthly with dedicated support and an account manager.
What this tier adds
Boosts concurrency to 100, adds dedicated support and account manager vs. Pro.
Enterprise
Custom
Ideal for
Large organizations needing unlimited API calls, SLA guarantees, custom AI models, and on-premise deployment.
What this tier adds
Custom pricing; unlimited calls, SLA, custom AI models, and on-premise deployment vs. Scale.
The company stage and team size where Context.dev's pricing actually pencils out — and where peers do it cheaper.
Pricing is usage-based starting free, but concurrent request caps may force upgrades. Growth ($59/mo for 5K calls) is cost-effective for small teams. Pro ($199/mo for 25K calls) competes with ScrapingBee's $49/mo for 30K calls but offers higher concurrency and enrichment. Scale ($399/mo) suits heavy users; Enterprise custom for large deployments.
How long it actually takes to get something useful out of Context.dev — broken out by persona, not the marketing-page minute.
For developers: get a working API call in under 10 minutes using the docs and API key. Non-technical users can set up a Zapier integration in about 30 minutes. Building a custom scraper with the low-code builder may take 1-2 hours depending on complexity.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Common stack mates teams adopt alongside Context.dev, with the specific reason each pairing earns its keep.
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