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Tech Events Calendar API | Conferences + CFP

Developer Relations teams and developer advocates can't afford to manually search the web for speaking opportunities. This scraper completely automates your tech events intelligence gathering by crawling multiple websites to extract structured data on global conferences, local meetups, and open Call for Papers (CFP) deadlines. Whether you are hunting for JavaScript summits, Python bootcamps, AI symposiums, or DevOps conventions, this tool builds a comprehensive, deduplicated schedule of exactly where your target developer audience is gathering. Stop missing out on critical submission windows and speaker slots. By scheduling this scraper to run weekly, you can automatically fetch the latest event announcements and speaking opportunities before CFP links expire. The scraped data provides everything you need to assess an event's exact value for your DevRel strategy: the official event name, start and end dates, city and country, specific topic tags, and the direct URL to submit your speaking proposals. Instead of relying on scattered email newsletters or manually copying contact details into spreadsheets, use this scraper to extract precise event details, organize your speaker pipeline, and dominate the tech conference circuit.

Store Quickstart

• Start with store-input.example.json for a cheap single-topic first run.
• If that matches your workflow, switch to store-input.templates.json and pick one of:
• Quickstart (Dataset) for one-topic discovery
• Multi-topic Scan for a broader calendar build
• Webhook Alert for downstream event routing

Key Features

• 📅 Multi-topic search — Search across JavaScript, Python, AI, DevOps, and 20+ topics
• 🔄 Automatic deduplication — Events appearing in multiple topics are merged
• 🌍 Global coverage — Conferences from all countries, including online events
• 📝 CFP tracking — Call-for-papers URLs and deadlines included
• 📊 Sorted by date — Clean chronological listing
• 🏷️ Topic tagging — Each event tagged with all relevant topics

Use Cases

Input

Input Example

{
"topics":["javascript","python","ai"],
"year":2026
}

Input Examples

Example: Single platform

{
"sources":[
"papercall.io"
],
"topics":[
"machine learning"
]
}

Example: Multi-platform monitor

{
"sources":[
"papercall.io",
"sessionize.com"
],
"topics":[
"security"
],
"deadlineWithinDays":60
}

Example: Specific conference URLs

{
"urls":[
"https://example-conf.com/cfp"
],
"emitDeadlineAlerts":true
}

Output

Output Example

{
"name":"PyCon US 2026",
"url":"https://us.pycon.org/2026/",
"startDate":"2026-05-15",
"endDate":"2026-05-23",
"city":"Long Beach",
"country":"US",
"online":false,
"cfpUrl":"https://us.pycon.org/2026/speaking/",
"cfpEndDate":"2025-12-18",
"topics":["python"],
"source":"confs.tech"
}

API Usage

Run this actor programmatically using the Apify API. Replace YOUR_API_TOKEN with your token from Apify Console → Settings → Integrations.

cURL

curl-X POST "https://api.apify.com/v2/acts/taroyamada~tech-events-intelligence/run-sync-get-dataset-items?token=YOUR_API_TOKEN"\
-H"Content-Type: application/json"\
-d'{ "topics": ["javascript", "python", "ai"], "year": 2026 }'

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("taroyamada/tech-events-intelligence").call(run_input={
"topics":["javascript","python","ai"],
"year":2026
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

JavaScript / Node.js

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_API_TOKEN'});
const run =await client.actor('taroyamada/tech-events-intelligence').call({
"topics":["javascript","python","ai"],
"year":2026
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Tips & Limitations

• Run nightly as part of your supply-chain monitoring to catch new vulnerabilities early.
• Pair with oss-vulnerability-monitor for CVE coverage layered on top of version tracking.
• For monorepos, run per-package rather than recursing — easier to triage alerts by team owner.
• Use snapshotKey to persist between runs and only alert on diffs.
• Webhook delivery supports JSON payloads — pipe into your existing on-call routing.

FAQ

Is my build slowed down?

This actor runs on Apify infrastructure, not your CI runners. No impact on build times.

What's the freshness of data?

Depends on the source registry — typically 5–60 minutes behind upstream.

Can I filter by package ecosystem?

Yes — most DevOps actors accept an ecosystem or package-manager filter in their input schema.

Does this work with private registries?

No — this actor targets public registries (npm, PyPI, crates.io, etc.). Private registries require credential handling that's out of scope.

Can I integrate with GitHub Actions?

Yes — call this actor via Apify API inside a workflow job, parse the JSON output, and fail the build on threshold violations.

Related Actors

DevOps & Tech Intel cluster — explore related Apify tools:

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• 🔍 Subdomain Finder — Discover subdomains for any domain using Certificate Transparency logs (crt.
• 🧹 CSV Data Cleaner — Clean CSV data: trim whitespace, remove empty rows, deduplicate by columns, sort.
• 📦 NPM Package Analyzer — Analyze npm packages: download stats, dependencies, licenses, deprecation status.
• 💬 Reddit Scraper — Scrape Reddit posts and comments from any subreddit via official JSON API.
• GitHub Release & Changelog Monitor API — Track GitHub releases, tags, release notes, and changelog drift over time with one summary-first repository row per repo.
• Docs & Changelog Drift Monitor API — Monitor release notes, changelog pages, migration guides, and key docs pages with one summary-first target row per monitored repo, SDK, or product.
• 🔒 OSS Vulnerability Monitor — Monitor open-source packages for known security vulnerabilities using OSV and GitHub Security Advisories.

Cost

Pay Per Event:

• actor-start: $0.01 (flat fee per run)
• dataset-item: $0.003 per output item

Example: 1,000 items = $0.01 + (1,000 × $0.003) = $3.01

No subscription required — you only pay for what you use.

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