🎯 Open Targets Platform Scraper

🚀 Export drug-target-disease associations in seconds. Query the Open Targets Platform GraphQL API across targets, diseases, drugs, and free-text search. No API key, no registration, no manual GraphQL stitching.

The Open Targets Platform Scraper queries the Open Targets v4 GraphQL API and returns rich, joined records for targets (genes), diseases, drugs, and free-text search. Open Targets is a public-private partnership between EMBL-EBI, GSK, Sanofi, Bristol Myers Squibb, Pfizer, Genentech, MSD, and the Wellcome Sanger Institute that integrates genetics, genomics, transcriptomics, drug, and literature evidence into target-disease association scores used across drug discovery.

This Actor exposes four query modes in one input form: pull a target by Ensembl ID (or HGNC symbol), a disease by EFO / MONDO ID, a drug by ChEMBL ID, or a free-text search across all three. Each record returns the canonical ID, name, descriptive metadata, and the relevant association table (associated diseases, associated targets, mechanisms of action, indications, drug warnings).

🎯 Target Audience	💡 Primary Use Cases
Drug discovery teams, target ID scientists, computational biologists, bioinformaticians, regulatory analysts, journal editors, ML researchers	Target prioritization, drug repurposing, disease-target maps, ChEMBL-to-EFO joins, indication discovery, mechanism-of-action audits, ML feature engineering

📋 What the Open Targets Scraper does

Four query modes in a single Actor:

• 🧬 Target mode. Fetch by Ensembl gene ID (e.g. ENSG00000146648 for EGFR), or by HGNC symbol that the Actor resolves via the GraphQL search hit. Returns approvedSymbol, approvedName, biotype, function descriptions, hallmarks, tractability modalities, pathways, the top associated diseases (scored), and the drug + clinical-candidate table.
• 🦠 Disease mode. Fetch by EFO or MONDO ID (e.g. EFO_0000222 for Acute Myeloid Leukemia). Returns description, therapeutic areas, synonyms, parents, children, the top associated targets (scored), and the drug + clinical-candidate table.
• 💊 Drug mode. Fetch by ChEMBL ID (e.g. CHEMBL1201583). Returns description, drug type, maximum clinical stage, synonyms, trade names, cross-references, mechanisms of action with target objects, indications with diseases, drug warnings, and parent molecule.
• 🔎 Search mode. Free-text search across target + disease + drug. Returns one row per hit with entity type, ID, name, description, and relevance score.

💡 Why it matters: Open Targets is the canonical public source for evidence-based target prioritization in pharma. Building your own GraphQL queries means schema introspection, pagination plumbing, and constant rewrites. This Actor returns ready-joined records on every run.

📊 Data fields

Each record includes: approvedName, approvedSymbol, associatedDiseases, biotype, drugAndClinicalCandidates, entity, functionDescriptions, hallmarks, id, pathways, scrapedAt, tractability, url. All 13 field names come from a real production run, 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 a mode, enter an ID (or a search query), and set maxItems.
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.

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

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Open Targets, EMBL-EBI, or any of its partner organizations. All trademarks mentioned are the property of their respective owners. Only publicly available open biomedical data 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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