Track rankings, SERP features, and competitor content changes across locales. Schedule crawlers and rank checks on Apify to monitor thousands of keywords.
SEO data scraping tracks rankings, SERP features, and competitor content changes across keywords and locales. Teams use it to monitor thousands of queries, watch for content updates, and build datasets for technical and competitive audits. These guides show how to collect search and on-page data reliably at scale.
Search results vary by location and device and shift constantly, so scheduled crawlers, geo-targeted proxies, and careful parsing keep data consistent. Apify rank-checking actors run on a cadence and export structured results into sheets or dashboards. Below you will find tutorials for SERP scraping, rank tracking, and monitoring competitor pages over time.
A Google Trends scraper pulls structured interest data from Google Trends—search-term popularity over time, geography, and related queries—without copying numbers by hand from the UI. On Apify, the maintained Google Trends Scraper runs in the cloud so you can export CSV / JSON and plug results into SEO dashboards, content calendars, or competitive research.
SEO in 2026 means data: SERP positions, competitor content changes, broken links, duplicate titles. Manual tracking doesn't scale. Apify automates it — run Actors on schedule, export to Google Sheets, and build dashboards without writing crawlers from scratch. Browse SEO Actors in the Apify Store.
SEO in 2026 demands data: SERP positions, competitor content inventories, backlink profiles, structured data health, and content gaps. Manual tracking doesn't scale. Web scraping automates it — run Apify Actors on schedule, store in a time-series database, export to Google Sheets or Looker Studio for stakeholder reporting. This guide covers five core SEO use cases and the tools to implement them.
Search Engine Results Pages (SERPs) are notoriously volatile extraction targets. Google aggressively combats automated scraping via IP reputation scoring, JavaScript-injected CAPTCHAs, and frequent DOM structure mutations that break CSS selectors overnight.
The Bright Data SERP API abstracts this entirely. Instead of maintaining headless browsers and proxy pools, data engineers interact with a synchronous REST endpoint that handles the Chromium rendering, CAPTCHA resolution, and DOM parsing server-side.
SEO teams use scraping to monitor SERP positions, track competitor content changes, audit site technical issues, analyze backlink profiles, and research keyword gaps. Scheduled Apify actors deliver fresh SERP data and competitor page audits to dashboards daily. Scraping powers SEO intelligence at scales that manual checking cannot reach.
SERP results and positions, competitor page titles and meta descriptions, heading structures, internal link graphs, schema markup presence, page speed indicators, and content freshness dates. Google does not officially support SERP scraping, but third-party SERP APIs and careful scraping with residential proxies make it operationally feasible.
Schedule daily Apify Google Search Scraper runs for target keywords, record position and URL per run, and store in a time series database. Compute weekly deltas and visualize in a dashboard. Alert when important keywords drop more than 3 positions. Supplement with official tools like Search Console for query click data.
Yes: crawl your own site with Crawlee to discover broken links, missing meta tags, slow pages, canonicalization issues, and schema markup errors. Crawlee's sitemap support makes full-site audits easy. Compare crawl results against Search Console coverage reports to identify pages that are indexed but have quality issues.
