🧬 Pharos Target Druggability Scraper

🚀 Pull drug-target druggability data in one run. Query the Pharos IDG knowledge base by gene symbol, or browse across its 20,000+ human protein targets.

Turn the Pharos / IDG knowledge base into clean, structured target records you can drop into a target triage spreadsheet, a druggability dashboard, or a drug discovery pipeline. Look up specific genes like ACE2, EGFR, or TP53, or leave the gene list empty to browse the catalog. Each record carries the core druggability signals: target development level, protein family, novelty score, and ligand and disease association counts.

Coverage is the human protein target set that Pharos publishes from the Target Central Resource Database (TCRD), the data backbone of the NIH Common Fund's Illuminating the Druggable Genome (IDG) program. The source holds 20,412 targets at the time of writing, each classified by its Target Development Level (Tclin, Tchem, Tbio, or Tdark).

🎯 Target Audience	💡 Primary Use Cases
Drug discovery and target biology teams	Triage and rank candidate targets
Computational chemists and bioinformaticians	Seed a druggability database
Pharma and biotech analysts	Compare target development levels across a gene set
Academic researchers	Pull novelty and association data for a study

📋 What the Pharos Target Druggability Scraper does

This Actor calls the public Pharos GraphQL API and returns one clean record per target:

• By gene symbol — provide a list of symbols (for example ACE2, EGFR, TP53) and get one record per matched target, including the full publication count.
• Browse mode — leave the gene list empty and the Actor walks the catalog from the top, returning targets in the order Pharos ranks them.

Optionally enrich each record with up to 25 associated ligand names (includeLigands) and up to 25 associated disease names (includeDiseases). You control how many records come back, and every record carries a scrapedAt timestamp.

📊 Data fields

Each record includes: description, diseaseCount, diseases, drugCount, fam, generifCount, ligandCount, ligands, name, novelty, preferredSymbol, publicationCount, scrapedAt, sym, tcrdid, tdl, uniprot, url. All 18 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

1. Create a free Apify account using this sign-up link.
2. Open the Pharos Target Druggability Scraper.
3. Add gene symbols to targets, or leave it empty to browse the catalog.
4. Toggle includeLigands and includeDiseases if you want the enrichment, and set maxItems.
5. Click Start and grab your results when the run finishes.

🔗 Recommended Actors

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• More reference and scientific data Actors in the ParseForge collection

💡 Pro Tip: browse the complete ParseForge collection.

⚠️ Disclaimer: independent tool, not affiliated with Pharos, NCATS, or the NIH. Only publicly available 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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