CrawlRover vs Instant Data Scraper
Instant Data Scraper is deservedly popular: free, simple, 1,000,000+ installs. But it solves one task. Here is an honest comparison — when IDS is enough, and when you need more.
Two tools — different jobs
IDS copies a visible table from a page into Excel. CrawlRover collects data from 4 maps and websites, enriches fields, monitors competitors, and exports to Google Sheets. These are different classes of tools.
Website scraping — the shared territory
| Criteria | CrawlRover | Instant Data Scraper |
|---|---|---|
| Table detection | ✓ 20+ factors (visual coherence, semantics, layout) | ~ 1 criterion (repeating CSS classes) |
| Pagination types (auto) | ✓ 9+: URL, path, load-more, SPA, POST-form, tabs, scroll | ~ 2: manual "Next" click + infinite scroll |
| Collection strategies | ✓ cascade of 9: page-state, API-replay, file-dataset, virtual, scroll | ~ 1: visible DOM walk |
| SPA sites (React, Next.js, Vue) | ✓ reads framework state before rendering | ~ parses rendered DOM, no pushState pagination |
| Shadow DOM | ✓ open + closed roots, composed walk | ✗ jQuery cannot pierce shadow roots |
| Virtualized lists | ✓ react-window, TanStack, AG-Grid — recycle-aware | ✗ sees only 10–20 rendered elements |
| Deep traversal (follow links) | ✓ linked recipes, multi-level crawl | ✗ current page only |
| Field typing | ✓ 5 types: text, number, URL, email, date + locale-aware | ~ raw text, XPath-based names |
| Recipes (re-collection) | ✓ local, with fingerprint fallback | ~ server "Presets" (opt-in to data sharing) |
| Export | ✓ Google Sheets, Excel, CSV, JSON | ~ CSV, XLSX, clipboard |
CrawlRover only
| Capability | CrawlRover | Instant Data Scraper |
|---|---|---|
| 4 maps (Google, Apple, Yandex, 2GIS) | ✓ 200+ columns | ✗ |
| Competitor monitoring | ✓ email alerts, change history | ✗ |
| Enrichment (~40 extra columns per company) | ✓ included | ✗ |
| Your data stays with you | ✓ local, no browsing data collected | ~ with "Presets", browsing data is shared |
| Price | Free plan + paid from €19/mo | ✓ completely free |
When Instant Data Scraper is the right choice
Let's be honest: if you need to quickly copy one table from a website into Excel — IDS does the job well. Free, simple, one click. A well-deserved million installs and 4.9 stars.
Typical IDS tasks: copy a product table, a link list, a price sheet, or a catalogue from a single page. If that's all you need — IDS is enough.
Website scraping: where IDS stumbles
On simple static tables (HTML catalogue, price list), both tools work. The difference shows on modern websites.
Site types IDS can't handle
IDS detects tables by one criterion — repeating CSS classes of child elements. If the site uses unique classes (CSS Modules, Tailwind), dynamic components (React/Vue/Angular SPA), or Shadow DOM — IDS won't find the data.
CrawlRover uses multi-layered detection: visual coherence (element sizes and positions), semantic signals (prices, images, links), structural fingerprint, nested blocks, carousels. Works with SPAs, Shadow DOM, virtualized lists.
Pagination — 2 types vs 9+
IDS supports two pagination types: "Next" button click and infinite scroll. That's it.
CrawlRover auto-detects 9+ pagination types:
- Infinite scroll
- "Load more" button
- URL pagination (?page=2, /page/3)
- SPA navigation (React Router, pushState)
- Hash navigation (#page=2)
- AJAX tabs and filters
- POST forms (__doPostBack, server-side pagination)
- Date range pagination
- Horizontal carousels
Data collection — 1 strategy vs a cascade of 9
IDS walks the visible DOM once. CrawlRover uses a cascade of 9 strategies, trying from most complete to simplest:
- Page-state — reads data from JS frameworks (Next.js hydration, Apollo cache, Redux store) before rendering. Gets all records at once, including hidden ones.
- API-replay — intercepts the JSON request the site makes itself and replays it. Full data without DOM parsing.
- File-dataset — downloads the "Export CSV/JSON" file the site itself offers.
- POST-form — replays server-side POST requests (ASP.NET __doPostBack and similar).
- Virtual — recycle-aware harvest from virtualized lists (when the site reuses DOM elements on scroll).
- Carousel — horizontal carousels (scroll / click / DOM-complete).
- Pagination — scroll and "Load more".
- Static — everything already in the DOM.
The first strategy that works delivers the most complete data. If a site serves data via API (most modern SPAs do) — CrawlRover gets all records, while IDS only sees what's currently in the DOM.
Deep traversal (linked pages)
IDS works only with the current page. If a product card in a catalogue links to a detail page with extra fields (description, specs, contacts) — IDS won't get them.
CrawlRover supports linked recipes: follows links from collected rows, extracts additional fields from nested pages, and adds them to the same table.
Field structuring and typing
IDS extracts raw text — all fields are unnamed, labeled by XPath path (tag + CSS class). CrawlRover types fields: identifies prices, phones, images, links, emails. Assigns human-readable names. Splits compound values (address → 7 components, socials → 19 channels).
Plus — 4 maps, monitoring, enrichment
Beyond more advanced website scraping, CrawlRover adds an entire layer of capabilities IDS simply doesn't have: collection from 4 maps (Google, Apple, Yandex, 2GIS), competitor monitoring with email alerts, enrichment with additional fields from company websites, cross-map view (one business across 4 maps in one row), Google Sheets export.
Your data stays with you
CrawlRover processes all data locally in the browser — collected data is not sent to the developer's servers. We do not collect browsing history or share browsing data with third parties.
Bottom line
For simple one-off tasks (copy a table) — IDS is enough. For systematic work with data (maps, enrichment, monitoring, repeatable recipes, SPAs, virtualized lists) — CrawlRover.