You want data off a website. Maybe it's a list of products, a table of search results, or a directory of contacts. You don't want to write a Puppeteer script or pay $50/month for a SaaS scraping platform. You want a free Chrome extension that lets you point and click your way to a CSV.
We tested six of them in 2026 and this is the honest write-up. The TL;DR: most "free" scrapers degrade into paid above a small free tier, two of them are genuinely free at scale, and one combines scraping with a full workflow editor + AI that makes it easier to build new scrapers than ever before.
The six we tested
- BNOD (us) — visual workflow editor with scraping blocks + AI Builder
- Web Scraper (webscraper.io) — sitemap-based scraping, browser + cloud
- Instant Data Scraper — auto-detects tables/lists, one-click export
- SimpleScraper — point-and-click scraper with cloud runs
- Data Miner — pre-built recipes for common sites
- Octoparse (free tier) — full desktop app with browser companion
We picked these because they're the highest-rated free scraping extensions on the Chrome Web Store and they show up across "best free web scraper" search results.
The test workflows
To compare apples to apples we built the same three scrapes in each:
- Hacker News front page — extract titles, URLs, scores into a CSV.
- Wikipedia table — extract a structured table (e.g., list of countries by population) into a CSV with column names.
- Multi-page list scrape — paginated search results (10 pages), extract title + URL from each.
Each one tests something different: simple list extraction, structured table parsing, and pagination handling.
Quick ranking
| Rank | Tool | Best for | Free at scale? |
|---|---|---|---|
| 1 | BNOD | Mixed workflows: scrape + transform + export | Yes (BYOK AI) |
| 2 | Instant Data Scraper | One-off table/list scrapes, zero setup | Yes |
| 3 | Web Scraper | Recurring scrape jobs with sitemaps | Free local; cloud paid |
| 4 | Data Miner | Pre-built recipes for known sites | Limited free tier |
| 5 | SimpleScraper | Point-click with cloud, more polish | Small free tier, then paid |
| 6 | Octoparse | Desktop power user, large jobs | Free tier with run limits |
#1 — BNOD
What we liked: it's not just a scraper — it's a full workflow editor. scrape_list extracts repeating items into a typed array; extract_table pulls structured <table> elements into {columns, items, rowCount}; extract_text grabs single elements. Combine with loop + if_then for pagination, then export via export_data (CSV / JSON) or POST to any endpoint via http_request. The AI Workflow Builder drafted the Hacker News scrape from "extract HN front page titles + URLs to CSV" on the first try.
What we didn't like: scraping isn't the whole product — BNOD does forms, AI agents, scheduling, and more. If you only want scraping and nothing else, you might prefer a more focused tool. Native pagination requires explicit block-wiring (a loop block with if_then checking the next-page button) rather than being a single setting.
Pick BNOD if: you want scraping plus everything else (transforms, exports, AI, schedules), you want a free MVP with no scraping run cap, you want AI to draft the workflow.
#2 — Instant Data Scraper
What we liked: zero setup. Click the extension icon on any page with a table or list, it auto-detects the structure, you click Download CSV. Done in 10 seconds. No account, no signup, no learning curve.
What we didn't like: auto-detection works for ~70% of pages we tried. The other 30% required manual hint clicks or didn't work. No real pagination support beyond "follow next link" pattern (works on simple sites, breaks on JS-heavy pagination). No way to transform / clean data after scraping.
Pick Instant Data Scraper if: you want one-off scrapes with zero setup, the page has a recognizable table or list, you don't need pagination or post-processing.
#3 — Web Scraper (webscraper.io)
What we liked: the sitemap concept is powerful — define the navigation pattern once, scrape repeatedly. Works locally (free) for small jobs. Documentation is solid.
What we didn't like: sitemap-building has a learning curve (1-2 hours for first non-trivial scrape). Cloud runs cost money. The export format is JSON by default with manual conversion to CSV.
Pick Web Scraper if: you have recurring scrape jobs, you're willing to invest in learning sitemaps, you can run locally and don't need cloud scheduling.
#4 — Data Miner
What we liked: pre-built recipes for hundreds of common sites (LinkedIn, Amazon, Google Maps, real estate sites). For supported sites it's two clicks from "I want this data" to CSV.
What we didn't like: if your target site isn't in the recipe library, you're back to manual recipe-building which has its own learning curve. Free tier caps pages-per-month — full usage requires the paid tier ($19+/mo).
Pick Data Miner if: your target site is in their recipe library, you don't want to build scrapers yourself, you're okay with paying once you scale.
#5 — SimpleScraper
What we liked: cleaner point-and-click UX than Data Miner. Cloud runs work well. Good docs.
What we didn't like: free tier is small (a few hundred rows / month). Mostly a paid product with a free trial.
Pick SimpleScraper if: you want a polished SaaS scraper, you'll pay $39+/mo, you want cloud runs.
#6 — Octoparse
What we liked: it's a real desktop app with serious scraping power — XPath rules, regex post-processing, IP rotation, scheduled cloud runs. The browser extension is the companion piece.
What we didn't like: desktop app means Mac / Windows install, not pure-browser. The learning curve is steep (it's closer to a developer tool). Free tier has run limits.
Pick Octoparse if: you have large scraping jobs, you're a power user willing to climb the curve, you want XPath-level control.
What's changed in 2026
Two shifts since 2024:
-
AI scaffolding for scrapers. Tools like BNOD now draft scrape workflows from a prompt. You describe "extract product name + price + URL from this category page" and the AI builds the workflow. You inspect and tweak. This collapses 30 min of manual selector-building to 30 seconds.
-
Cloud-run lock-in is getting more obvious. SaaS scrapers (SimpleScraper, Data Miner Pro, Octoparse Cloud) have all raised prices. The cost calculus for hobbyist / small-team users now favors browser-local tools (BNOD, Instant Data Scraper, Web Scraper local) plus their own AI API key for any transformation needs.
Our pick
If you only need one-off, simple scrapes — Instant Data Scraper is unbeatable for the 10-second use case.
If you need recurring scrapes, transformations, or anything beyond raw extraction — BNOD combines scraping with workflow editing and AI Builder in one extension, no per-run cost from us.
Install BNOD from the Chrome Web Store. Free during MVP, BYOK AI (Gemini has a free tier with no credit card).