Reviewed by the NexaToolkit team · Last reviewed June 2026. Scraping competitor data has legal/ToS limits — we flag that rather than pretend it’s unrestricted. NexaToolkit may earn a commission from links on this page — it never changes what we recommend.
Competitor data is usually a mess: prices in one place, features in another, formats that don’t line up. Browse.ai extracts structured data from any site without code and keeps it clean and current — turning scattered pages into a tidy comparison table. Here’s how to use it for competitor research, the legal caveat, and real 2026 pricing.
Step 1: pick the Browse.ai plan
Browse.ai has a free plan (50 credits, 5 robots), then Personal $48/month (2,000 credits, unlimited robots), Professional ~$69–87 (more credits, all integrations), and Premium $500+ for high volume. For ongoing competitor tracking, Personal is the realistic entry.
Step 2: build a robot to extract the data
Point Browse.ai at a competitor page and visually select the fields you want — product name, price, features, stock. It builds a “robot” that returns that data structured, and self-healing scrapers adapt when the page layout shifts.
Step 3: clean and consolidate into one table
Pipe every competitor’s robot output into the same Google Sheet or Airtable via Browse.ai’s integrations, so all competitors line up in one schema. Schedule re-runs so the table stays current instead of going stale.
Step 4: the legal caveat (don’t skip this)
Scraping public data is broadly permissible, but many sites’ Terms of Service restrict it, and personal data carries privacy rules. Stick to public, factual data (prices, specs), respect robots.txt where it matters, and don’t hammer sites. When in doubt, check the ToS.
Competitor-data tools compared
| Tool | Price | Best for |
|---|---|---|
| Browse.ai | Free / $48 / ~$87 | No-code structured extraction + monitoring |
| Octoparse | Free / paid tiers | Heavier no-code scraping |
| Apify | Usage-based | Developer-grade scraping at scale |
| Bardeen | Free / paid | Browser-side automation + scraping |
A real scenario
A SaaS marketer building a competitive matrix across eight rivals: instead of copy-pasting pricing pages into a spreadsheet by hand, they build a Browse.ai ($48) robot per competitor, route all outputs into one Airtable with matching columns, and schedule weekly re-runs — so the comparison table updates itself and the self-healing scrapers survive layout changes. A day of manual work becomes a maintained, always-current dataset. The responsible boundary: keep it to public factual data, respect each site’s ToS, and don’t scrape personal information — the tool makes it easy, which is exactly why the discipline matters.
Frequently asked questions
How much does Browse.ai cost?
Free (50 credits, 5 robots), Personal $48/month (2,000 credits, unlimited robots), Professional ~$69–87 (more credits + all integrations), and Premium $500+ for high volume. Annual billing saves ~20%.
Is web scraping with Browse.ai legal?
Scraping public, factual data is broadly allowed, but many sites restrict it in their Terms of Service and personal data carries privacy obligations. Stick to public prices/specs, respect ToS and robots.txt, and avoid scraping personal information.
Browse.ai or Octoparse?
Browse.ai is the simplest no-code option with strong monitoring and self-healing scrapers; Octoparse handles heavier scraping jobs; Apify is developer-grade at scale. For a marketer building a competitor table, Browse.ai is the easiest start.
More: see our AI marketing analytics tools and building AI workflows without code.
