Scrape SERP rankings, keyword positions, featured snippets, backlink profiles, on-page signals, and competitor content data from Google, Bing, and SEO platforms. Daily-updated SEO intelligence for agencies, enterprise teams, and rank tracking applications.
SEO data scraping is the automated collection of search engine results, ranking signals, backlink data, technical SEO metrics, and competitor content intelligence from search engines and SEO intelligence platforms. Every search query returns a results page containing commercially valuable SEO data: organic ranking positions, featured snippet ownership, paid ad presence, knowledge panel appearance, local pack listings, and the URLs and metadata of competing pages. Collecting this systematically — across thousands of keywords, multiple locations, and daily cadence — gives SEO teams the evidence base for every optimisation decision.
For Indian markets, SERP scraping has specific nuances that matter. Google India serves results influenced by user location, device, and language settings — and rankings for many competitive queries differ significantly between Mumbai, Delhi, and Bengaluru. Tracking rankings at city level, not just country level, is essential for businesses targeting urban Indian markets. DataFlirt's SERP scrapers collect geo-targeted results using city-specific residential proxies to retrieve accurate local rankings for any Indian city.
Backlink intelligence is the complement to SERP ranking data. Understanding which pages link to your competitors — and why they rank — is foundational to link building strategy. Backlink profiles live primarily in SEO platform databases (Ahrefs, SEMrush, Majestic), but competitor-specific backlink intelligence can also be collected directly through web crawling: discovering who links to competitor pages, what anchor text is used, and which link types are most prevalent in a given vertical.
Technical SEO data is the third dimension. Page speed signals, Core Web Vitals measurements, schema markup usage, heading structure, internal link architecture, and content length are all extractable at scale through competitive site crawling. DataFlirt's technical SEO scrapers can crawl entire competitor domains — collecting on-page signals from hundreds of pages — to give SEO teams a structured, comparative view of what technical factors separate ranking pages from non-ranking ones.
Comprehensive extraction built for reliability, accuracy, and scale.
Daily position tracking across keywords, devices (desktop and mobile), locations (city, state, country), and search engines with full historical trend storage.
Capture featured snippet ownership, People Also Ask boxes, knowledge panels, local packs, image carousels, and shopping results for target keywords.
Extract competitor backlink data including linking domains, page-level links, anchor text, link type, and Domain Authority signals.
Scrape title tags, meta descriptions, H1/H2 structure, word count, schema markup, canonical tags, and internal link counts from competitor pages.
Collect page speed scores, CWV measurements (LCP, FID, CLS), and mobile usability signals for competitor pages at scale.
Extract Google My Business rankings, local pack positions, review counts, and category placements for local SEO monitoring.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "status": "success", "source": "google_search", "scraped_at": "2025-03-21T06:00:00Z", "keyword": "best accounting software india", "location": "Bengaluru, IN", "device": "desktop", "organic": [ { "position": 1, "url": "zoho.com/books", "title": "Zoho Books — Online Accounting Software", "has_sitelinks":true } ], "featured_snippet": true, "paid_ads": 4 }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Residential proxies in specific Indian cities — Bengaluru, Mumbai, Delhi, Chennai, Hyderabad — retrieve accurate local rankings as seen by users in each market.
Desktop and mobile SERP positions collected separately using device-appropriate browser profiles — critical as rankings often differ significantly by device.
Custom parsers extract every SERP feature type — featured snippet, PAA, local pack, image carousel, video box — with structure and ownership data.
Web crawler discovers and collects backlink data — linking pages, anchor text, link context — from competitor backlink profiles at any depth.
PageSpeed API integration and direct page crawling collect CWV, schema, heading structure, and page content signals at competitor domain scale.
Position diff engine computes daily rank changes and flags significant movements — gains, losses, and SERP feature wins or losses — for alert delivery.
From solo analysts to enterprise data teams — here's how organizations use this data.
Every content investment, every technical fix, every link building campaign should be grounded in evidence from the SERPs. DataFlirt delivers the daily, geo-accurate, comprehensive SEO data — ranking positions, SERP features, backlink signals, technical benchmarks — that SEO agencies and enterprise teams need to make every optimisation decision with confidence rather than instinct.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
For growing teams with serious data requirements.
For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
