BioSpace Scraper - Biotech & Pharma Jobs

The NanoScrape Biospace Scraper is an Apify actor that extracts structured web data from biospace.com. It returns 48 fields per result including title, company, location, city, company_name, priced at $5/1k result, with no API key or monthly subscription required.

Extract job listings from BioSpace, a US biotech and pharma job board (source platform). Returns title, company, location, salary, discipline, career level, therapy area, full description, apply URL and posting dates. From $3 per 1,000 jobs, about $8 with full job details.

Open on Apify →
Pricing
$5.00 / 1,000 detail result
Runtime
Cloud (Apify)
Proxy
None (proxy fallback when blocked)
Coverage
US

What you can scrape — 48 fields per result

FieldTypeExampleGroupFill %
idstring3081505Core100%
titlestringPrincipal Scientist - Cancer Early DetectionCore100%
job_urlstringhttps://jobs.biospace.com/job/3081505/principal-scientist-cancer-early-detectionCore100%
company_namestring | nullInVitro Cell Research, LLCCore100%
company_logo_urlstring | nullhttps://assets.biospace.com/public/logos/2216621Core100%
company_profile_urlstring | nullhttps://www.biospace.com/employer/2216621/invitro-cell-research-llcCore100%
company_careers_urlstring | null(populated when data available)Core10%
company_social_urlsarray | null(populated when data available)Core15%
apply_urlstring | nullhttps://jobs.biospace.com/job/3081505/principal-scientist-cancer-early-detectionCore100%
external_apply_urlstring | null(populated when data available)Core70%
source_platformstringbiospace.comCore100%
source_urlstringhttps://jobs.biospace.com/job/3081505/principal-scientist-cancer-early-detectionCore100%
company_addressstring | null(populated when data available)Company20%
company_phonestring | null(populated when data available)Company45%
company_websitestring | nullhttp://www.invitrocellresearch.com/Company50%
company_aboutstring | nullInVitro Cell Research, LLC (ICR) is a privately funded company focused on regenerative ...Company50%
company_headquartersstring | nullEnglewood, New JerseyCompany50%
company_typestring | nullbiotechCompany100%
companystring | nullInVitro Cell Research, LLCCompany100%
locationstringEnglewood, New JerseyLocation100%
countrystring | nullUSLocation100%
citystring | nullEnglewoodLocation100%
regionstring | nullNew JerseyLocation95%
description_snippetstring | nullICR's Cancer Early Detection program is focused on building early warning systems out o...Description100%
description_fullstring | nullICR's Cancer Early Detection program is focused on building early warning systems out o...Description95%
description_htmlstring | null<p>ICR's Cancer Early Detection program is focused on building early warning systems ou...Description95%
description_mdstring | nullICR's Cancer Early Detection program is focused on building early warning systems out o...Description95%
salary_minnumber | null165000Salary70%
salary_maxnumber | null165000Salary70%
salary_currencystring | nullUSDSalary70%
salary_periodstring | nullannualSalary70%
salary_textstring | nullUSD 165,000 per yearSalary70%
employment_typestring | nullFull-timeEmployment100%
remote_optionstring | nullonsiteEmployment100%
required_educationstring | nullDoctorate/PHD/MDRequirements100%
posted_at_datetimestring | null2026-10-01T16:00:55.942ZMetadata100%
posted_at_textstring | nullOct 1, 2026Metadata100%
career_levelstring | nullseniorMetadata100%
scraped_atstring2026-10-01T17:42:29ZMetadata100%
posted_atstring | null2026-10-01Metadata100%
industrystring | nullBiotechnologyOther100%
expires_atstring | null2026-10-31Other100%
direct_applyboolean | nulltrueOther95%
disciplinestring | nullScience/R&D, Biotechnology, Immunology, OncologyOther100%
therapy_areastring | nulloncologyOther55%
hotbedstring | nullPharm CountryOther95%
security_clearancestring | null(populated when data available)Other—
search_querystring | nullscientistOther100%

Input example — showcase (full detail)

{
  "searchQueries": [
    "clinical research associate",
    "medical writer"
  ],
  "maxResults": 30,
  "maxResultsPerQuery": 10,
  "includeJobDetails": true,
  "maxConcurrency": 3,
  "includeCompanyDetails": true
}

Output example — real dataset item (PII scrubbed)

{
  "id": "3081505",
  "title": "Principal Scientist - Cancer Early Detection",
  "job_url": "https://jobs.biospace.com/job/3081505/principal-scientist-cancer-early-detection",
  "company_name": "InVitro Cell Research, LLC",
  "company_logo_url": "https://assets.biospace.com/public/logos/2216621",
  "company_profile_url": "https://www.biospace.com/employer/2216621/invitro-cell-research-llc",
  "company_address": null,
  "company_phone": null,
  "company_type": "biotech",
  "company_website": "http://www.invitrocellresearch.com/",
  "company_careers_url": null,
  "company_about": "InVitro Cell Research, LLC (ICR) is a privately funded company focused on regenerative and preventive personalized medicine. We are dedicated to discovering and developing interventions to slow and reverse biological aging and prevent major age-related diseases.\n\nICR has a small-group vibe and a highly collaborative work environment. We invest in our scientists, providing them the state-of-the-art resources they need to leverage their time and skills most effectively, empowering small teams to accomplish the amazing and advance our mission.\n\nOur mission is to research ways to repair aging people, fast.",
  "company_headquarters": "Englewood, New Jersey",
  "company_social_urls": null,
  "industry": "Biotechnology",
  "location": "Englewood, New Jersey",
  "country": "US",
  "city": "Englewood",
  "region": "New Jersey",
  "employment_type": "Full-time",
  "remote_option": "onsite",
  "salary_min": 165000,
  "salary_max": 165000,
  "salary_currency": "USD",
  "salary_period": "annual",
  "salary_text": "USD 165,000 per year",
  "description_snippet": "ICR's Cancer Early Detection program is focused on building early warning systems out of arrays of blood- and urine-based biomarkers from cancer patients and healthy controls, focusing on early stage cancers. We're using machine learning to predict cancer signatures to enable early intervention w...",
  "description_full": "ICR's Cancer Early Detection program is focused on building early warning systems out of arrays of blood- and urine-based biomarkers from cancer patients and healthy controls, focusing on early stage cancers. We're using machine learning to predict cancer signatures to enable early intervention when cancer is most treatable. We're hiring a Principal Scientist to lead our Cancer Early Detection Team.\n\nWith ICR, you'll get to:\n\nLead a cutting-edge cancer biomarkers group with the goal of detecting cancer at its earliest stages\nContribute highly practical and readily translatable pan-cancer screening/early detection, diagnostic, prevention and therapeutic ideas\nQuantify and track cancer biomarkers, including CTCs, cfDNA, serum, plasma, and urine proteins, RNA, metabolites, driver-gene mutations, epigenetic modifications, etc\nCollaborate with ICR's Biomarkers Team to perform molecular and cellular cancer prevention screening assays, under a personalized medicine paradigm\n\nPlease apply if you have:\n\nA PhD, MD or both\nAt least 10 years of cancer research experience, preferably in early detection and biomarkers\nCurrent and in-depth knowledge of pan-cancer: screening, early detection, biomarkers, diagnostic prediction, genetics, prevention, and chemical and vaccine-therapeutics (practical and experimental)\nProgramming experience in Python\nSolid grasp of biostatistics, especially probability theory\nExperience with prediction modeling and machine learning, including experience using proper scoring rules\n\nIdeally, you'll also have:\n\nExpert knowledge and understanding of worldwide cancer biomarker and detection assay development pipelines\nExperience with cell-based assays, immunofluorescent microscopy, qPCR, flow cytometry, single-cell genomics, RNAseq, cell culture, organoid culture, Illumina NextSeq 550, DNA methylation sequencing, ddPCR, Luminex, clinical chemistry instrumentation, Kryptor, Access 2, robotic liquid handling (e.g. Tecan), Vortex, and DepArray\nExperience with protein, RNA, and small metabolite cancer biomarker analysis\nEven if you don't meet all of these criteria, please apply anyway\n\nAnd you'll need:\n\nAn easygoing, friendly personality\nThe ability to work in the United States without sponsorship\n\nSalary\n\nStarting base pay range: $165,000/yr - $215,000/yr\n\nStarting additional compensation range: $7,500/yr - $20,000/yr\n\nStarting position title and compensation are commensurate with experience.",
  "description_html": "<p>ICR's Cancer Early Detection program is focused on building early warning systems out of arrays of blood- and urine-based biomarkers from cancer patients and healthy controls, focusing on early stage cancers. We're using machine learning to predict cancer signatures to enable early intervention when cancer is most treatable. We're hiring a <strong>Principal Scientist</strong> to lead our Cancer Early Detection Team.</p><p><strong>With ICR, you'll get to:</strong></p><ul><li><p>Lead a cutting-edge cancer biomarkers group with the goal of detecting cancer at its earliest stages</p></li><li><p>Contribute highly practical and readily translatable pan-cancer screening/early detection, diagnostic, prevention and therapeutic ideas</p></li><li><p>Quantify and track cancer biomarkers, including CTCs, cfDNA, serum, plasma, and urine proteins, RNA, metabolites, driver-gene mutations, epigenetic modifications, etc</p></li><li><p>Collaborate with ICR's Biomarkers Team to perform molecular and cellular cancer prevention screening assays, under a personalized medicine paradigm</p></li></ul><p><strong>Please apply if you have:</strong></p><ul><li><p>A PhD, MD or both</p></li><li><p>At least 10 years of cancer research experience, preferably in early detection and biomarkers</p></li><li><p>Current and in-depth knowledge of pan-cancer: screening, early detection, biomarkers, diagnostic prediction, genetics, prevention, and chemical and vaccine-therapeutics (practical and experimental)</p></li><li><p>Programming experience in Python</p></li><li><p>Solid grasp of biostatistics, especially probability theory</p></li><li><p>Experience with prediction modeling and machine learning, including experience using proper scoring rules</p></li></ul><p><strong>Ideally, you'll also have:</strong></p><ul><li><p>Expert knowledge and understanding of worldwide cancer biomarker and detection assay development pipelines</p></li><li><p>Experience with cell-based assays, immunofluorescent microscopy, qPCR, flow cytometry, single-cell genomics, RNAseq, cell culture, organoid culture, Illumina NextSeq 550, DNA methylation sequencing, ddPCR, Luminex, clinical chemistry instrumentation, Kryptor, Access 2, robotic liquid handling (e.g. Tecan), Vortex, and DepArray</p></li><li><p>Experience with protein, RNA, and small metabolite cancer biomarker analysis</p></li><li><p>Even if you don't meet all of these criteria, please apply anyway</p></li></ul><p><strong>And you'll need:</strong></p><ul><li><p>An easygoing, friendly personality</p></li><li><p>The ability to work in the United States without sponsorship</p></li></ul><h2>Salary</h2><p><strong>Starting</strong> <strong>base pay range:</strong> $165,000/yr - $215,000/yr</p><p><strong>Starting additional compensation range:</strong> $7,500/yr - $20,000/yr</p><p>Starting position title and compensation are commensurate with experience.</p>",
  "description_md": "ICR's Cancer Early Detection program is focused on building early warning systems out of arrays of blood- and urine-based biomarkers from cancer patients and healthy controls, focusing on early stage cancers. We're using machine learning to predict cancer signatures to enable early intervention when cancer is most treatable. We're hiring a **Principal Scientist** to lead our Cancer Early Detection Team.\n\n**With ICR, you'll get to:**\n\n- Lead a cutting-edge cancer biomarkers group with the goal of detecting cancer at its earliest stages\n\n- Contribute highly practical and readily translatable pan-cancer screening/early detection, diagnostic, prevention and therapeutic ideas\n\n- Quantify and track cancer biomarkers, including CTCs, cfDNA, serum, plasma, and urine proteins, RNA, metabolites, driver-gene mutations, epigenetic modifications, etc\n\n- Collaborate with ICR's Biomarkers Team to perform molecular and cellular cancer prevention screening assays, under a personalized medicine paradigm\n\n**Please apply if you have:**\n\n- A PhD, MD or both\n\n- At least 10 years of cancer research experience, preferably in early detection and biomarkers\n\n- Current and in-depth knowledge of pan-cancer: screening, early detection, biomarkers, diagnostic prediction, genetics, prevention, and chemical and vaccine-therapeutics (practical and experimental)\n\n- Programming experience in Python\n\n- Solid grasp of biostatistics, especially probability theory\n\n- Experience with prediction modeling and machine learning, including experience using proper scoring rules\n\n**Ideally, you'll also have:**\n\n- Expert knowledge and understanding of worldwide cancer biomarker and detection assay development pipelines\n\n- Experience with cell-based assays, immunofluorescent microscopy, qPCR, flow cytometry, single-cell genomics, RNAseq, cell culture, organoid culture, Illumina NextSeq 550, DNA methylation sequencing, ddPCR, Luminex, clinical chemistry instrumentation, Kryptor, Access 2, robotic liquid handling (e.g. Tecan), Vortex, and DepArray\n\n- Experience with protein, RNA, and small metabolite cancer biomarker analysis\n\n- Even if you don't meet all of these criteria, please apply anyway\n\n**And you'll need:**\n\n- An easygoing, friendly personality\n\n- The ability to work in the United States without sponsorship\n\n## Salary\n\n**Starting** **base pay range:** $165,000/yr - $215,000/yr\n\n**Starting additional compensation range:** $7,500/yr - $20,000/yr\n\nStarting position title and compensation are commensurate with experience.",
  "posted_at_datetime": "2026-10-01T16:00:55.942Z",
  "posted_at_text": "Oct 1, 2026",
  "expires_at": "2026-10-31",
  "apply_url": "https://jobs.biospace.com/job/3081505/principal-scientist-cancer-early-detection",
  "external_apply_url": null,
  "direct_apply": true,
  "discipline": "Science/R&D, Biotechnology, Immunology, Oncology",
  "career_level": "senior",
  "therapy_area": "oncology",
  "required_education": "Doctorate/PHD/MD",
  "hotbed": "Pharm Country",
  "security_clearance": null,
  "search_query": "scientist",
  "source_platform": "biospace.com",
  "scraped_at": "2026-10-01T17:42:29Z",
  "company": "InVitro Cell Research, LLC",
  "source_url": "https://jobs.biospace.com/job/3081505/principal-scientist-cancer-early-detection",
  "posted_at": "2026-10-01"
}

Cost math

Priced at $0.0050 per detail result. 10 detail results ≈ $0.05, 100 ≈ $0.50, 1,000 ≈ $5.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run biospace-scraper in your browser - no code, no install. In the Apify console you get:

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

  1. Sign up for a free Apify account (Google, GitHub, or email).
  2. Go to Settings → Integrations → API tokens.
  3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~biospace-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'
// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/biospace-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/biospace-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)
// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/biospace-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();
// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/biospace-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/biospace-scraper

Example prompt once connected:

"Use <code>biospace-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

  1. Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
  2. Set Actor to santamaria-automations/biospace-scraper.
  3. Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).
  1. Create a new Zap with any trigger.
  2. Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~biospace-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Body: your input JSON. Content-Type: application/json.
  1. Create a new scenario.
  2. Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~biospace-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
  3. Parse the response with a JSON module to iterate items downstream.
  1. Create a new workflow.
  2. Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~biospace-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Access steps.http.$return_value in subsequent steps.
  1. Install the API Connector plugin.
  2. Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~biospace-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
  3. Initialize the call with your input, then reference the response array in workflow actions.

FAQ

How much does the biospace-scraper cost?

$5.00 / 1,000 detail result, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

48 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over plain HTTP without a proxy, switching to proxies only when a request is blocked. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.

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