IBLead vs DIY Scraping: The Real Cost (2026)

You know how to code. You can write a Google Maps scraper in Python with Selenium or Playwright in 2-3 days. Why pay for a tool?

It's a legitimate question. The answer: the real cost of DIY scraping far exceeds the initial development cost. Between proxies, servers, CSS selector maintenance, the quadtree system to bypass the 120-result limit, and email enrichment — the budget explodes. Let's break it all down.

Development cost: the visible part

Coding a basic Google Maps scraper takes 2-4 days for an experienced developer. If you value your time at 300-500 EUR/day, that's already 600-2,000 EUR in opportunity cost.

But a "basic" scraper only gives you the first 120 results per query. For a genuinely usable tool, you need:

• A quadtree system to bypass the 120-result limit: 1-2 weeks of dev
• An email enricher that visits each website: 3-5 days of dev
• A robust deduplication system: 1-2 days
• Error handling (timeouts, CAPTCHAs, IP bans, changed pages): 2-3 days
• Storage and export (database, CSV/XLSX export): 1-2 days

Realistic total: 3-5 weeks of development for a complete tool. At 400 EUR/day, that's 6,000-10,000 EUR in development time.

But that's just the tip of the iceberg.

Infrastructure cost: the hidden part

Residential proxies

Google detects and blocks datacenter IPs within a few requests. For large-scale scraping, you need residential proxies. Cost: 8-15 EUR/GB from major providers (Bright Data, Oxylabs, SmartProxy).

A complete scrape of France (all categories, all cities) easily consumes 50-100 GB of bandwidth. That's 400-1,500 EUR in proxies alone. And that's for a single scrape — next month, you start over.

The server

Massive scraping with headless browsers (Selenium/Playwright) requires a dedicated server or powerful VM: 50-150 EUR/month. Playwright is RAM-hungry — plan for at least 4-8 GB to run multiple instances in parallel.

Total cost of a single France scrape

Item	Cost
Residential proxies (50-100 GB)	400-1,500 EUR
Dedicated server (1 month)	50-150 EUR
Initial dev time (3-5 weeks)	6,000-10,000 EUR
Monthly maintenance (5-10h)	150-500 EUR/month
Total month 1	6,600-12,150 EUR
Recurring total (month 2+)	600-2,150 EUR/month

And this is a one-shot. Next month, your database is already outdated — businesses open, close, change addresses, update their hours.

Technical challenges you're underestimating

The 120-result limit and the quadtree

Google Maps only returns 120 results per search. For "restaurant Paris," you get 120 listings out of 15,000+. The solution: code a geographic quadtree system that divides the area into increasingly smaller cells until each cell contains fewer than 120 results.

This is a non-trivial algorithm: you need to handle recursion, empty cells, result overlap between adjacent cells, and smart split logic (when to stop subdividing). Count on 1-2 weeks of development for a robust implementation.

Google's anti-bot measures

Google uses sophisticated mechanisms to detect scraping: browser fingerprinting, non-human behavior detection, IP rate limiting, CAPTCHAs. Your options:

• IP rotation via residential proxies (expensive)
• User-agent and header rotation
• Random delays between requests (slows down scraping)
• CAPTCHA handling (paid solving services or manual fallback)

The DOM changes

Google regularly modifies the HTML structure of its Maps pages. CSS selectors that worked yesterday break tomorrow. On average, you need to intervene 1-2 times per month to update selectors. Each intervention = a few hours of debugging + testing + redeployment.

Rate limiting

Even with residential proxies, sending too many requests too fast triggers soft bans: Google returns empty results or CAPTCHAs. You need to implement exponential backoff and smart rotation, which significantly slows down the scraping process.

Hidden maintenance costs

The initial cost is just the beginning. Here's what maintaining a Google Maps scraper costs over 12 months:

Item	Monthly cost	Annual cost
Residential proxies (monthly refresh)	400-1,500 EUR	4,800-18,000 EUR
Server	50-150 EUR	600-1,800 EUR
CSS selector maintenance	150-500 EUR (dev time)	1,800-6,000 EUR
Monitoring + debugging	50-200 EUR (dev time)	600-2,400 EUR
Annual recurring total		7,800-28,200 EUR

And that's just for raw Google Maps data. No emails, no social media, no SIRET, no technology detection.

Time-to-data: weeks vs seconds

With DIY scraping, the timeline from "I need data" to "I have an actionable file" looks like this:

• Week 1-3: develop the basic scraper + quadtree
• Week 3-4: add email enrichment, deduplication, error handling
• Week 4-5: set up proxies, server, run the first full scrape
• Week 5+: debug, fix broken selectors, rerun failed batches

With IBLead, you sign up, search your target category and location, and export. The entire process takes under 2 minutes. The data is already indexed, enriched, and deduplicated.

For a sales team waiting on leads, that 5-week delay has a real cost in missed deals and lost pipeline.

The real case that says it all

We have a growth hacker among our clients who knows how to scrape Google Maps himself. He already exports tens of thousands of listings with his own tool. And he still chose IBLead.

Why? Because it costs him less and saves time. He calculated that his proxies alone cost more than 200 EUR per month — far more than an IBLead subscription. When a technical developer who can build it himself chooses to pay, the product is worth it.

What you're not getting with DIY

Even if you build a robust scraper with a quadtree and email enrichment, you're still missing features that IBLead provides out of the box:

• SIRET matching: connecting Google Maps listings to French business registry data requires access to the INSEE Sirene database, a fuzzy matching algorithm, NAF code mapping, and AI arbitration for ambiguous cases. Building this from scratch is a project in itself.
• Technology detection: identifying 160+ technologies (CMS, analytics, payment, chat) on each website requires maintaining a pattern library that's updated regularly as tools evolve.
• Social media extraction: finding Facebook, Instagram, LinkedIn, X, and YouTube profiles from business websites requires parsing dozens of URL patterns and handling edge cases.
• Deduplication at scale: when you merge data from thousands of quadtree cells, deduplication becomes non-trivial. Businesses can have slightly different names, multiple phone numbers, or shared addresses.

Each of these features would add weeks of development time. Together, they represent months of work that IBLead has already done for you.

When DIY makes sense

Building your own scraper is still relevant in specific cases:

• Very specific needs: you need data nobody collects (e.g., storefront photos, detailed reviews with NLP analysis)
• Learning: you want to understand how web scraping works — it's an excellent technical exercise
• Non-Google Maps sources: if you're scraping Yelp, TripAdvisor, Yellow Pages, DIY is often the only option
• Very low volumes: fewer than 1,000 listings as a one-off, a quick script might suffice

Comparison: the real math

Criteria	IBLead	DIY Scraping
Monthly cost	44 EUR/month	600-2,150 EUR/month
Cost over 1 year	528 EUR (396 EUR on annual billing)	14,000-38,000 EUR
Time to get data	Instant	Days to weeks
Complete data (quadtree)	Yes	Only if you code the quadtree
Emails included	Yes (up to 5)	No (2nd scraper needed)
Social media	Yes (FB, IG, LI, X, YT)	No
SIRET matching	Yes	No
Technology detection	Yes (160+)	No
Maintenance	None	5-10h/month
Refresh	Monthly, included	Redo it yourself (and pay for proxies again)

Verdict

DIY scraping makes sense if you have very specific needs, want to learn, or are scraping something other than Google Maps. But for a complete, enriched Google Maps business database, IBLead starting at 44 EUR/month is literally 25 to 95 times cheaper than a year of DIY scraping.

And next month, you have nothing to redo. The database is refreshed, emails updated, social profiles extracted, SIRET matching recalculated, technologies detected. Everything is included. You focus on prospecting, not plumbing.