Kekik Crawlerv0.1.0-rc1

Marketing teams can use Kekik Crawler to scrape competitor websites for pricing, product features, and content strategies. By running preset queries like 'person-research' or 'deep-research', they can gather structured data in JSONL format for analysis, enabling data-driven decision-making without browser overhead.

Researchers in social sciences or digital humanities can crawl academic portals, news sites, or social media for specific queries, such as 'Ömer Faruk Sancak', to collect data on public figures or trends. The deterministic output and checkpointing ensure reliable, repeatable data extraction for studies and reports.

Sales teams can automate the scraping of business directories or industry websites to identify potential leads based on keywords. Using presets, they can output clean JSONL files with contact details or company info, streamlining prospecting efforts and reducing manual data entry.

Media companies can deploy Kekik Crawler to aggregate news articles, blog posts, or social media content on specific topics. The scrapling-based approach allows fast, browser-less crawling of multiple URLs, with JSONL outputs facilitating easy integration into content management systems or analytics dashboards.

Offer Kekik Crawler as a cloud-based service where users pay a monthly fee for access to preset crawls, automated reports, and API integrations. Revenue is generated through tiered pricing based on usage limits, data volume, and advanced features like custom presets or priority support.

Provide consulting services to businesses needing tailored web scraping solutions, such as custom preset development or integration with existing data pipelines. Revenue comes from project-based fees, ongoing maintenance contracts, and training sessions for teams to use the crawler effectively.

Use Kekik Crawler to collect and curate datasets from the web, then sell these datasets to clients in industries like finance, marketing, or research. Revenue is generated through one-time sales or subscription models for updated data feeds, leveraging the crawler's deterministic outputs for quality assurance.