Scraper · Google News and Hacker News

Content Opportunity Intelligence

Discover public trend signals and timely content ideas for editorial planning.

Scraper

What you get

Discover public trend signals and timely content ideas for editorial planning.

Run it yourself in your Apify account. Apify platform usage fees may apply separately.

Best for

  • Editorial research
  • Trend monitoring
  • Content planning

Example output fields

  • Topic
  • Headline
  • Signal
  • Source
  • Published date
  • Source URL

Supported inputs

  • Topics
  • Keywords
  • Date options
  • Maximum results
Managed Service

Want us to run it for you?

We can configure inputs, validate output, schedule runs, clean records, monitor failures, and deliver the results to an agreed destination.

Request Managed Data
README

Content Opportunity Intelligence technical notes

Content Opportunity Intelligence can be used as part of a reviewed Apify workflow to collect public Google News and Hacker News data, clean the dataset, and deliver it to business tools. The exact setup depends on the target, available data, and required output structure.

Use Cases

  • Editorial research
  • Trend monitoring
  • Content planning

Data Fields

  • Topic
  • Headline
  • Signal
  • Source
  • Published date
  • Source URL

Inputs

  • Topics
  • Keywords
  • Date options
  • Maximum results

Workflow

  • Public Google News and Hacker News source
  • Actor run
  • Clean dataset
  • Delivery destination
  • Business report or automation

Delivery

  • CSV
  • Excel
  • Google Sheets
  • API
  • Database
  • Airtable
  • Notion
  • Slack
  • CRM

Limitations

  • Availability depends on the target website or platform structure.
  • Some data may not be publicly available.
  • Some requests may not be suitable.
  • The workflow is reviewed before setup.

Setup Notes

  • Confirm the target Google News and Hacker News sources and required fields before running Content Opportunity Intelligence.
  • Set max results, filters, dates, and frequency based on the intended business workflow.
  • Run a small test before scheduling or delivering a full dataset.

Output Handling

  • Keep source URLs and collection timestamps with every record.
  • Normalize fields before loading the dataset into spreadsheets, databases, or business tools.
  • Treat public counts and availability fields as snapshots.

Quality Checks

  • Deduplicate records using the most stable source identifier available.
  • Spot-check sample records against the source platform.
  • Flag missing required fields before final delivery.

FAQ

Can The Scrape Lab configure Content Opportunity Intelligence for me?

Yes. We review the target, configure inputs, run tests, clean the output, and connect delivery where needed.

Can this run on a schedule?

In many cases, yes. Recurring schedules are reviewed based on the target, frequency, and reliability requirements.

Can the output go to Google Sheets or a CRM?

Yes. Delivery can be set up to Google Sheets, CSV, Airtable, databases, APIs, Slack, CRMs, or other tools depending on your workflow.

Is every request suitable?

No. We focus on public data and review each request before setup. Some targets or data requests may not be appropriate or technically reliable.

Tell us what data you need.

Send the website or source and explain what you want to achieve. We can help define the fields, frequency, and delivery.

Discuss your project