Turn competitor websites
into actionable intelligence

Spidra can extract any publicly visible data from any website. For market research, common extractions include product reviews and ratings, competitor pricing and feature lists, job postings and hiring signals, social media mentions and sentiment, news articles and press releases, and forum discussions. You define the exact fields you need in plain text.

Dedicated tools like Crayon or Klue track a fixed set of competitor signals from predefined sources. Spidra is different. You can scrape any website, define any data schema, and build custom research pipelines. This means you can track signals that dedicated tools simply don't cover, like niche review sites, regional directories, or competitor documentation pages.

Yes. You can set up recurring scrapes via the API to run daily, weekly, or at any interval you choose. Each run extracts fresh data from the source, so you can track changes over time, like pricing updates, new reviews, or messaging shifts.

Spidra extracts the raw review data (text, rating, date, reviewer) in structured JSON. You can then feed this into your own analysis tools, or use Spidra's AI extraction to ask for sentiment directly. For example, prompt it to "Extract the review text, rating, and classify sentiment as positive, negative, or neutral."

Yes. You can pass session cookies through the API, which lets Spidra access content behind logins. This is useful for scraping gated industry reports, member directories, or internal competitor portals where you have authorized access.

Every scrape returns structured JSON with exactly the fields you defined. From the dashboard, you can also export to CSV. For automated pipelines, the API returns JSON that you can pipe directly into your BI tools, data warehouse, or spreadsheets.