Octoparse vs Scrap.io: Google Maps Scraper Test (2026)

I spent a weekend trying to scrape every restaurant in Tennessee using Octoparse. By Sunday night, I had a crashed template, 47% of my runs failed, and exactly zero email addresses. True story.

If you've ever searched for the best Google Maps scraper, you've probably stumbled onto one of two names: Octoparse and Scrap.io. One is a Swiss Army knife that does everything (sort of). The other is a coffee machine that does one thing and does it ridiculously well. This octoparse google maps scraper showdown breaks down which one actually deserves your money — and your time.

Bon. Let's get into it.

Generalist vs Specialist Google Maps Scraper

Here's what most comparison articles won't tell you: the Octoparse vs Scrap.io debate isn't really about features. It's about philosophy.

Octoparse calls itself "Easy Web Scraping for Anyone." And that's fair — it scrapes Amazon, LinkedIn, Yelp, basically any website with a URL. It's a capable octoparse web scraper, sure, but it's also a hundred other things. Jack of all trades. You know how that sentence ends.

Scrap.io? One job. Google Maps lead generation. That's it. No LinkedIn scraping. No Amazon product extraction. Just Maps, all day, every day. And there's a reason specialists tend to beat generalists — a cardiac surgeon is going to do a better job on your heart than a GP with a YouTube tutorial. (Harsh? Maybe. Also true.)

The practical difference shows up fast. Octoparse requires you to download desktop software, configure workflows, deal with proxies, and pray your template doesn't break overnight because Google changed a CSS class. Scrap.io is a SaaS — open your browser, type a category, pick a location, export. Two clicks. Coffee's ready.

But here's where it gets interesting. The web scraping market hit $1.03 billion in 2025 according to industry reports, and most of that growth is in specialized tools, not generalist platforms. The market is telling you something. Specialists win when the use case is specific enough — and Google Maps scraping is extremely specific.

Octoparse is still a solid generalist. But comparing it to Scrap.io for Maps extraction is like comparing a Leatherman to a chef's knife. Both cut things. One makes dinner.

When Octoparse Is Actually the Right Choice

Let me be fair here, because a comparison that only trashes the competitor is worthless (and, frankly, nobody believes it). Octoparse is genuinely the better pick in a few scenarios:

1. Custom multi-site scraping. If you need Amazon prices, Yelp reviews, and directory listings all in one tool, Octoparse handles it. Scrap.io only does Maps.
2. 500+ ready-made templates. For quick one-off scrapes of popular sites, the template library is a real time-saver.
3. 24/7 cloud scheduling. Paid plans run recurring jobs in the cloud without your machine being on.
4. Developer access. MCP, CLI and API are all available now — handy if you're wiring scraping into your own stack.
5. Learning on a budget. The free plan is generous enough to actually learn web scraping without paying a cent.

So if you're weighing an octoparse alternative free option just to practise, or you want an octoparse alternative github-style open toolkit, Octoparse's own free tier might be all you need. The table further down only matters if it's honest. So we kept it honest.

Octoparse Pricing vs Scrap.io: The Real Cost in 2026

Let's talk money. Because this is where people get surprised.

First, let's fix the record — a lot of octoparse pricing breakdowns floating around still quote plans that don't exist anymore. Here are the real numbers, pulled straight from octoparse.com/pricing in July 2026.

Tier	Octoparse (July 2026)	Scrap.io (annual)
Free	$0 — 10 tasks, 50K rows/mo, local extraction only	7-day trial — 100 credits + 50 searches (card required)
Entry	Standard $69/mo (annual, −16%)	Basic $35/mo — 10,000 credits
Mid	Professional $249/mo	Professional $69/mo — 20,000 credits
High-volume	Enterprise — custom pricing	Agency $139 / Company $350 — 40K / 100K credits

Notice something? The old higher-priced tiers that half the comparison articles out there still quote? Gone. Octoparse restructured. If a review hasn't caught up, it hasn't been touched since 2024. (We just updated ours. You're welcome.)

But the sticker price is only half the story. Here's the part that actually hits your budget — the add-ons. Octoparse's subscription is the entry fee, not the total. On top of it you can stack: residential proxies at $3/GB, automatic CAPTCHA solving at $1–1.5 per 1,000, pay-per-result templates at $0.001–3 per 1,000 results, custom crawler setup from $399, and a done-for-you data service from $599. Each one is optional. Each one is another line on the invoice.

Scrap.io folds all of that into the credit. Proxies, email extraction, social profiles, website enrichment — included. One credit, one exported business, everything attached. No à la carte menu.

The Real Cost Per Lead

So what does a lead actually cost? On Scrap.io Basic, the math is boring and predictable: $35 ÷ 10,000 = $0.0035 per lead. Guaranteed. One credit equals one exported business, and because filtering happens before extraction, you never burn a credit on a junk record.

Octoparse? You can't calculate it. And that's not me dodging — that's the whole point. Octoparse doesn't bill per result. It bills for subscription + execution + whatever add-ons you needed. Your real cost per lead depends entirely on your success rate, and an independent benchmark by MapsLeads clocked Octoparse's Google Maps success rate at just 47%. Half your runs fail. So a "$69 plan" quietly becomes something else entirely, and you find out at the end of the month. Fun.

This is exactly why per-lead pricing exists. We wrote a full breakdown of execution-time vs lead-based pricing explained if you want the deep dive — it's the single biggest cost trap in this whole category.

One more thing people forget to check: the refund. Octoparse gives you a 5-day money-back guarantee. Scrap.io gives you 30 days, no commitment, cancel anytime. Six times the window to change your mind. That tells you something about how confident each tool is that you'll stick around.

Data Extraction: What Can You Actually Get?

Octoparse Experience: Template Setup & Limitations

I'll be direct. Using Octoparse for Google Maps is an exercise in frustration.

You've got two paths: build a custom workflow from scratch (painful but flexible), or use a pre-built Google Maps template (fast but fragile). The template approach sounds great until you actually try it. During our testing, the "Google Maps Email Finder" template didn't even handle the Google consent popup. It just sat there, staring at a cookie banner, accomplishing nothing. Template not working? Yeah, that's not a bug — that's Tuesday with Octoparse.

This isn't just our experience. The octoparse template not working complaint is one of the most searched issues in their community forums. Templates break whenever Google updates their Maps interface, which happens constantly. And when they break, you're on your own fixing CSS selectors and XPaths. Hope you enjoy debugging at midnight.

Even when things work, Octoparse hits Google Maps' hard ceiling: ~120 results per search query. Want more? You need to break your queries into smaller geographic chunks. Manually. Like it's 2018.

The data you get is decent — name, rating, reviews, address, phone, website. But native email extraction? Not in the Google Maps template. You'd buy one of Octoparse's separate pay-per-result email-scraper templates for that. Social profiles, website tech detection? Not there either.

Scrap.io Experience: Two Clicks, Real-Time Data

Night and day.

Log into Scrap.io. Pick a category from 4,000+ options. Choose a location — city, state, or entire country. Click search. That's it. No templates, no workflows, no desktop software to install.

The filtering happens before you export — and before credits are consumed. Only want businesses with an email? Filter for it. Minimum rating of 3.5 stars? Done. Facebook page required? Check. You're not paying for data you'll delete in Excel later. Scrap.io calls this "filter before you pay." Every other tool should copy it. Seriously.

Data fields? Over 30 columns per export: business name, phone, email (classified: individual, contact, sales, marketing, finance), Facebook, Instagram, LinkedIn, TikTok, YouTube, X/Twitter, website technologies, ad pixels, meta description, contact pages — the full picture. Scrap.io's 225 million+ indexed businesses across 195 countries means you're working with real-time data, not a cached database from three months ago. Want to see the raw output? Here's a live demo export in Google Sheets.

And if you want a no-code google maps scraper that delivers professional-grade results, this is the only serious option I've tested. No Python. No proxies. No broken selectors at 3 AM. For the full technical breakdown of scraping methods (API, Python, no-code), check the complete Google Maps scraping guide.

Feature-by-Feature Comparison (2026)

Enough talk. Here's every feature that matters, side by side. This is the table I wish existed when I started comparing these two tools — would've saved me a weekend of testing.

Feature	Octoparse	Scrap.io
Focus	Generalist web scraper	Specialist Google Maps scraper
Setup	Desktop app + workflow config	Browser-based, 2 clicks
Email extraction	Not in the Maps template — separate pay-per-result templates	Yes — up to 5 per business, classified
Social media profiles	No	Facebook, Instagram, LinkedIn, TikTok, YouTube, X
Anti-blocking	Yes — IP rotation, residential proxies, auto-CAPTCHA (paid plans)	Yes — fully managed, included (no proxy setup)
Data fields per listing	~15–20	30+
Results per query	~120 (Google Maps limit)	Unlimited (pre-indexed database)
Country-level extraction	Technically possible. Practically nightmarish.	Two clicks. Literally.
Pre-export filtering	No	Yes — 20+ filter types
Success rate (Maps)	47% (MapsLeads benchmark)	~99%+
Speed	108 sec/task (MapsLeads)	10,000 req/min capacity
Real-time data	Yes (when it works)	Yes — always fresh at export
API	Yes (higher tiers / add-ons)	Yes — REST API + MCP for AI agents
Duplicate management	No	Auto-dedup across exports
Website tech detection	No	Yes (CMS, ad pixels, analytics)
Starting price	$69/mo (annual)	$35/mo (annual)

Look at that success rate gap. 47% vs ~99%. That's not a small difference — it's the difference between a tool built for Google Maps and a tool that has a Google Maps template bolted on as an afterthought.

And credit where it's due: that Anti-blocking row is a genuine Octoparse strength. IP rotation, residential proxies, auto-CAPTCHA — for scraping arbitrary websites, that toolkit is legitimately good. It's just aimed at a different problem than "get me every dentist in Ohio with an email."

Bref. If you're looking for the best google maps scraper for lead generation specifically, this table tells the whole story. Octoparse can technically do it. Scrap.io was built to do it.

Large-Scale Google Maps Scraping

Scraping 100 businesses is easy. Scraping 100,000? That's where tools get separated from toys.

We tested both tools on a country-scale scenario: all restaurants in France. The results weren't even close.

Octoparse pulled 52,000 restaurants. Not terrible, but far from complete. The process required splitting queries into 34,955+ French municipalities, managing thousands of parallel tasks, and dealing with constant failures. It took days.

Scrap.io pulled 139,000 restaurants from the same country. Same category. Two clicks. No city-by-city splitting. No proxy management. No failed runs. The extraction took minutes, not days. That's a 2.7x data gap — meaning Octoparse missed more than half of what was actually available.

And this scales to any country. Scrap.io's 225M+ indexed businesses across 195 countries means a US-wide extraction of, say, plumbers, returns 200,000+ results effortlessly. Try that with Octoparse without losing your mind. I dare you.

The difference comes down to architecture. Octoparse scrapes Google Maps in real-time through browser automation — bound by the 120-result limit per query, anti-bot detection, and all the headaches of live scraping. Scrap.io maintains its own pre-indexed database, refreshed in real-time at export. Different foundation. Different ceiling.

Octoparse Review: What Real Benchmarks Say

Theory is nice. Numbers are better. And an honest octoparse review should lean on independent data, not vibes.

A video production agency was manually hunting contacts on Google Maps for outreach campaigns. Pulling maybe 50 emails per week. Painful. After switching to a dedicated Google Maps scraper with built-in email extraction, they hit 400 emails per week — an 8x increase — and saved 40+ hours of manual research (Apify Blog). That's not marginal improvement. That's a different business model.

MapsLeads' independent review of Octoparse was brutal but fair. Their conclusion? "The maintenance burden makes Octoparse a poor fit" for teams that need reliable Google Maps data at scale. Octoparse's 47% success rate and 108-second task completion time put it dead last in their scraper benchmark. And this is a tool-agnostic review site — they have no horse in this race.

Meanwhile, BluTec Scout's comparison of Google Maps scrapers gave high marks to purpose-built solutions, noting that generalist scrapers consistently underperform on Maps-specific tasks. Their testing aligned with what we found: specialists extract more data, more reliably, faster.

The developer community says the quiet part out loud. One thread on r/webscraping — bluntly titled "Octoparse is one of the most frustrating programs" — nails the core problem: "the auto-detection feature doesn't detect relevant information… when I make even minor changes to the workflow, the entire scrape fails." When even minor edits nuke the whole run, you're not automating. You're babysitting.

Even Outscraper, another player in the space, charges per record with unpredictable final bills. And platforms like Apify — which boasts 250,000+ users — lean heavily into developer workflows. For non-technical teams, Scrap.io remains the best Octoparse alternative that doesn't require writing a single line of code.

Cold email open rates currently average 27.7% according to industry benchmarks. But that number depends entirely on list quality. Garbage data = garbage results. Tools that give you verified emails and pre-filtered contacts aren't a luxury — they're the difference between a 27% open rate and your domain ending up in spam.

Weighing enterprise-grade options too? See our Bright Data vs Scrap.io comparison — same test, different competitor, same verdict.

Is Google Maps Scraping Legal in 2026?

Short version: yes, for publicly available business data.

The hiQ Labs v. LinkedIn case (9th Circuit, settled 2022) established that scraping publicly available data doesn't violate the Computer Fraud and Abuse Act. The Supreme Court's Van Buren decision (2021) narrowed the CFAA further — it targets insiders exceeding authorized access, not outsiders viewing public web pages. And Meta v. Bright Data (2024) confirmed that if you're not logged in, you haven't agreed to anyone's Terms of Service.

Google Maps business listings — names, addresses, phones, ratings, websites — are visible to anyone with a browser. No login required. Public data, plain and simple.

GDPR in Europe treats B2B contact data under "legitimate interest" (Article 6(1)(f)). Scraping a restaurant's business email for commercial outreach? Generally fine. Scraping personal Gmail addresses from reviews? Different story — tread carefully there.

For the full legal breakdown with case citations, read the complete guide to Google Maps scraping legality. And if compliance is a priority, know that Scrap.io is GDPR and CCPA compliant by design — only publicly available business data, fully traceable to source.

Frequently Asked Questions

Is Octoparse good for scraping Google Maps?

It can do it — but "can" and "should" are different words. Octoparse's Google Maps templates have a 47% success rate according to MapsLeads benchmarks, the slowest task time in their testing (108 seconds), and no native email extraction. For occasional small scrapes of a single city, it works well enough. For professional lead generation? It's the DIY approach — cheaper upfront, expensive in time and headaches.

What is the best Google Maps scraper in 2026?

For lead generation with emails and social profiles: Scrap.io. No contest — 225M+ businesses, 30+ data fields, country-level extraction, $35/month starting. For developers who want full customization or an octoparse alternative github route: check open-source scrapers on GitHub. For browser-based quick scrapes: see the Chrome extensions guide. It depends what you need — but for the best google maps scraper as a complete package, specialists beat generalists every time.

Can I scrape Google Maps for free?

Kind of. Octoparse's free plan gives you 10 tasks and 50,000 rows of export per month, capped at 10,000 rows per single export, and it's local extraction only — no cloud, no anti-blocking add-ons. Other free google maps scraper free options exist too: Chrome extensions like Instant Data Scraper, GitHub repos. But those free tools cap at 120 results per search, don't extract emails, and require manual setup. Scrap.io's free trial gives you 100 leads with full data (emails, phones, social) — enough to test your market (a credit card is required to activate). After that, paid plans start at $35/month. Check how to scrape Google Maps without Python for more options.

Is it legal to scrape Google Maps data?

Yes — for publicly available business information. Court precedents (hiQ v. LinkedIn, Meta v. Bright Data) confirm this. Google's ToS technically prohibit scraping, but a ToS violation is a contract issue, not a crime. Read the full legal analysis for details, including GDPR and CCPA compliance. Stick to business data, respect rate limits, use a reputable tool, and you're fine.

How much data can I extract from Google Maps?

Google Maps shows ~120 results per search — that's the platform's limit. Octoparse is bound by this ceiling, requiring geographic splitting for larger extractions. Scrap.io bypasses it entirely with a pre-indexed database of 225M+ businesses across 195 countries. Practical example: extracting all restaurants in the US returns 450,000+ results on Scrap.io. That same extraction on Octoparse would require splitting into thousands of city-level queries. At that scale, the question answers itself.