📰 The Guardian Article Search Scraper

🚀 Search 2.6 million Guardian articles in seconds. Headlines, bylines, full body text, tags, contributors, star ratings, and section metadata across the complete archive since 1999. No sign-up, no manual scraping.

The Guardian Article Search Scraper exports articles from The Guardian and returns 30 fields per record, including headline, byline, full body text and HTML, contributors, tags, section metadata, star ratings for reviews, and image gallery URLs. The Guardian archive is one of the most-cited English-language news corpora in academic research, NLP training, and media-trends analysis.

The catalogue covers 2.6 million-plus articles across 32 sections, including World, UK, US, Australia, Politics, Business, Technology, Science, Environment, Sport, Culture, and Opinion, with full archive coverage from 1999 onward. This Actor makes the corpus searchable as CSV, Excel, JSON, or XML in under a minute. Filtering by section, tag, contributor, date, language, production office, and minimum star rating runs server-side.

🎯 Target Audience	💡 Primary Use Cases
Media-monitoring teams, NLP researchers, journalism students, data scientists, content strategists, OSINT analysts, librarians	Brand mentions tracking, sentiment & topic models, journalism research, media-bias studies, archival queries, training corpora for LLMs

📋 What the Guardian Article Search Scraper does

Six powerful filters in a single run:

• 🔍 Free-text search. Operators include AND, OR, NOT, and quoted phrases.
• 📂 Section filter. Pick one of 32 sections or search every section.
• 🏷️ Tag filter. Combine multiple Guardian tags (e.g. environment/climate-change, football/premierleague).
• 📅 Date range. Restrict by fromDate and toDate.
• 🌍 Production office. Filter by UK, US, Australia, or international edition.
• ⭐ Minimum star rating. Pull only 4-star and above film, TV, music, or restaurant reviews.

Each record includes the article ID, section, pillar, byline, contributors, full body text and HTML, image gallery URLs, word count, star rating (where applicable), and live-blog status.

💡 Why it matters: The Guardian is one of the most influential English-language newsrooms. Its archive is cited in NLP papers, media-bias studies, and journalism education. Building your own pipeline means parsing the article search response and reconstructing tag taxonomies. This Actor skips all of that.

📊 Data fields

Each record includes: blocks, bodyHtml, bodyText, byline, contributors, firstPublicationDate, headline, id, imageGallery, imageUrl, keywords, language, lastModified, liveBloggingNow, newspaperTags, pillarId, pillarName, productionOffice, publication, references, rights, sectionId, sectionName, series, snapshotTime, standfirst, starRating, tones, trailText, type, webPublicationDate, webTitle, webUrl, wordCount. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Guardian Article Search Scraper page on the Apify Store.
3. 🎯 Set input. Enter a search query, optionally pick a section, tag, date range, and star rating.
4. 🚀 Run it. Click Start and let the Actor pull matching articles.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded archive: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more news and reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Guardian News & Media or any of its affiliates. All trademarks mentioned are the property of their respective owners. Only publicly available content is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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