🧬 Open Targets Platform Scraper

🚀 Export drug, target, and disease intelligence in seconds. Pull 63,000+ targets, 20,000+ diseases, and 14,000+ drugs from the Open Targets Platform with evidence scores, tractability, mechanisms of action, and clinical phase. No registration, no manual extraction.

The Open Targets Platform Scraper exports drug discovery intelligence from the Open Targets Platform and returns up to 18 fields per record, including identifiers, synonyms, descriptions, tractability assessments, target-disease associations, mechanisms of action, and clinical-trial indications. The underlying dataset is the reference open knowledge graph for therapeutic target identification, jointly built by EMBL-EBI, GSK, Sanofi, Bristol Myers Squibb, and other contributors.

Coverage spans 63,000+ targets (Ensembl IDs), 20,000+ diseases (EFO/MONDO), and 14,000+ drugs (ChEMBL) with association scoring, druggability tiers, ubiquitination signals, pathway memberships, and disease-trait phenotype maps.

🎯 Target Audience	💡 Primary Use Cases
Pharma R&D teams, bioinformatics groups, biotech analysts, academic researchers, drug-repurposing startups, clinical-trial intelligence	Target prioritization, disease-target evidence reports, drug-repurposing scans, tractability snapshots, mechanism-of-action lookups, indication exploration

📋 What the Open Targets Platform Scraper does

Three entity-specific workflows in a single run:

• 🧬 Targets. Pull gene-level records with approved symbol, biotype, synonyms, protein IDs, tractability across small-molecule / antibody / PROTAC / oligo modalities, pathway memberships, and the top associated diseases with evidence scores.
• 🦠 Diseases. Pull EFO/MONDO records with descriptions, synonyms, therapeutic areas, cross-references, ancestors/descendants, and the top associated targets.
• 💊 Drugs. Pull ChEMBL drug records with type, maximum clinical phase, approval status, withdrawals, trade names, mechanisms of action, and indication lists.

Each record includes a direct link back to the entity's page on platform.opentargets.org for spot-checking.

💡 Why it matters: drug discovery teams spend significant time stitching together target-disease evidence from disparate genetic, expression, and clinical sources. Open Targets is the canonical pre-stitched graph. This Actor flattens the relevant subset into a CSV/JSON snapshot you can drop into a notebook, dashboard, or LLM workflow.

📊 Data fields

Each record includes: approvedName, approvedSymbol, associatedDiseases, associatedTargets, biotype, crossReferences, description, drugsLinked, drugType, entityType, id, indications, isApproved, maximumClinicalStage, mechanismsOfAction, name, pathways, proteinIds, scrapedAt, sourceUrl, synonyms, therapeuticAreas, tractability, tradeNames. 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 Open Targets Platform Scraper page on the Apify Store.
3. 🎯 Set input. Pick an entity type, then either supply a list of IDs or a free-text search.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

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

🔗 Recommended Actors

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

🆘 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.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.