The NanoScrape Wellfound Jobs Scraper is an Apify actor that extracts job listings from wellfound.com. It returns 78 fields per result including title, company, location, salary, description, priced at $10/1k job detail-page enrichment, with no API key or monthly subscription required.
Wellfound (Startup/Tech, US): 25+ fields including salary + equity range, tech stack, company stage, funding, and founder info. (source platform)
| Field | Type | Example | Group | Fill % |
|---|---|---|---|---|
id | string | 4709961 | Core | 100% |
title | string | Data Analyst | Core | 100% |
company_url | string | null | https://wellfound.com/company/incanus-technologies-1 | Core | 100% |
job_url | string | https://wellfound.com/jobs/4709961-data-analyst | Core | 100% |
company_name | string | null | Incanus Technologies | Core | 100% |
company_logo_url | string | null | https://photos.wellfound.com/startups/i/10602871-01cb0237d731f6a83ecc612cd53f6c39-mediu... | Core | 100% |
source_url | string | https://wellfound.com/jobs/4709961-data-analyst | Core | 100% |
source_platform | string | wellfound.com | Core | 100% |
apply_url | string | https://wellfound.com/jobs/4709961-data-analyst | Core | 100% |
company | string | null | Incanus Technologies | Company | 100% |
company_slug | string | null | incanus-technologies-1 | Company | 100% |
company_high_concept | string | null | ncanus Technologies is a data-first growth and analytics company | Company | 100% |
company_size_range | string | null | 51-200 | Company | 100% |
company_active_jobs_count | integer | null | (populated when data available) | Company | — |
company_badges | array | null | ["Actively Hiring"] | Company | 100% |
company_stage | string | null | (populated when data available) | Company | 80% |
company_about | string | null | (populated when data available) | Company | — |
company_website | string | null | https://www.newtonschool.co/ | Company | 100% |
company_founded | integer | null | (populated when data available) | Company | — |
company_funding_total | string | null | (populated when data available) | Company | 40% |
company_industry | string | null | (populated when data available) | Company | — |
company_offices | array | null | (populated when data available) | Company | — |
company_headquarters | string | null | (populated when data available) | Company | — |
company_tech_stack | array | null | (populated when data available) | Company | — |
company_benefits | array | null | (populated when data available) | Company | 20% |
company_active_jobs | array | null | (populated when data available) | Company | — |
company_founders | array | null | (populated when data available) | Company | — |
company_investors | array | null | (populated when data available) | Company | — |
company_size_enum | string | null | SIZE_51_200 | Company | 100% |
company_rating | number | null | (populated when data available) | Company | 20% |
company_ratings | object | null | (populated when data available) | Company | 20% |
company_employees_joined_from | array | null | (populated when data available) | Company | 20% |
company_funding_rounds_count | integer | null | (populated when data available) | Company | 40% |
company_latest_round | string | null | (populated when data available) | Company | 40% |
company_latest_round_date | string | null | (populated when data available) | Company | 40% |
company_latest_round_amount | number | null | (populated when data available) | Company | 40% |
company_valuation | string | null | (populated when data available) | Company | 40% |
company_type | string | null | (populated when data available) | Company | — |
company_benefits_detail | array | null | (populated when data available) | Company | 20% |
company_jobs_by_department | object | null | (populated when data available) | Company | — |
location | string | null | Bangalore Urban | Location | 100% |
location_city | string | null | Bangalore Urban | Location | 100% |
location_state | string | null | Karnataka | Location | 100% |
location_country | string | null | India | Location | 100% |
accepted_remote_locations | array | null | (populated when data available) | Location | 20% |
description | string | null | Job Title: Data Analyst – Fresher Company Name: Incanus Technologies Pvt Ltd Location: ... | Description | 100% |
description_snippet | string | null | Job Title: Data Analyst – Fresher Company Name: Incanus Technologies Pvt Ltd Location: ... | Description | 100% |
description_full | string | null | Job Title: Data Analyst – Fresher Company Name: Incanus Technologies Pvt Ltd Location: ... | Description | 100% |
description_html | string | null | <p>Job Title: Data Analyst – Fresher Company Name: Incanus Technologies Pvt Ltd Locatio... | Description | 100% |
salary | string | null | $80k – $90k • No equity | Salary | 80% |
salary_min | number | null | 80000 | Salary | 80% |
salary_max | number | null | 90000 | Salary | 80% |
salary_currency | string | null | USD | Salary | 80% |
salary_text | string | null | $80k – $90k • No equity | Salary | 80% |
remote | boolean | null | false | Employment | 100% |
remote_option | boolean | null | false | Employment | 100% |
employment_type | string | null | full-time | Employment | 100% |
experience_years_min | number | null | 0 | Requirements | 40% |
experience_years_max | number | null | (populated when data available) | Requirements | — |
posted_at_datetime | string | null | 2026-09-12T13:18:59Z | Metadata | 100% |
posted_at | string | null | 2026-09-12T13:18:59Z | Metadata | 100% |
scraped_at | string | 2026-10-02T06:55:08Z | Metadata | 100% |
auto_posted | boolean | null | false | Metadata | 100% |
tags | array | null | (populated when data available) | Other | — |
workplace_type | string | null | hybrid | Other | 60% |
equity_min | number | null | (populated when data available) | Other | 20% |
equity_max | number | null | (populated when data available) | Other | 20% |
equity_text | string | null | No equity | Other | 40% |
no_equity | boolean | null | true | Other | 40% |
industry | string | null | Education Technology | Other | 100% |
market_tags | array | null | (populated when data available) | Other | — |
ats_source | string | null | (populated when data available) | Other | 40% |
search_query | string | null | data analyst | Other | 100% |
serp_page | integer | 1 | Other | 100% |
extraction_mode | string | serp+detail | Other | 100% |
sponsors_visa | boolean | null | false | Other | 100% |
relocation_allowed | boolean | null | (populated when data available) | Other | 40% |
primary_role | string | null | Data Analyst | Other | 100% |
{
"searchQueries": [
"Software Engineer",
"Product Manager",
"Data Scientist"
],
"maxResults": 30,
"maxResultsPerQuery": 10,
"includeJobDetails": true,
"includeCompanyDetails": true
}{
"id": "4709961",
"title": "Data Analyst",
"company": "Incanus Technologies",
"company_url": "https://wellfound.com/company/incanus-technologies-1",
"location": "Bangalore Urban",
"remote": false,
"salary": "$80k – $90k • No equity",
"description": "Job Title: Data Analyst – Fresher Company Name: Incanus Technologies Pvt Ltd Location: Bangalore, India (On-site) Experience Required: 0–1 Years Employment Type: Full-Time ** Industry: IT Services / Analytics / Freshers Education: B.E./B.Tech, B.Sc, BCA, M.Sc, MCA, or related field\n\nJob Description: We are looking for an enthusiastic and detail-oriented Data Analyst (Fresher) to join our analytics team. If you are passionate about data, eager to work on real-world business problems, and proficient in Python and SQL, we’d love to hear from you.\n\nResponsibilities:\n\nAnalyze large datasets to identify trends, patterns, and insights\nWrite efficient SQL queries to extract and manipulate data\nUse Python for data cleaning, analysis, and automation (Pandas, NumPy, etc.)\nCreate visual reports using tools or libraries (Matplotlib, Seaborn, or Excel)\nCollaborate with product and business teams to solve data-related problems\nMaintain dashboards and ensure data accuracy and consistency\nRequired Skills:\n\nProficiency in Python for data analysis (Pandas, NumPy, basic scripting)\nStrong command of SQL (joins, aggregations, subqueries)\nGood understanding of data structures and basic statistics\nStrong problem-solving skills and attention to detail\nEffective communication and willingness to learn\nPreferred (Good to Have): Exposure to BI tools like Power BI / Tableau Understanding of Excel/Google Sheets functions Internship/project experience in data analysis or related work\n\nBenefits: Flexible working hours Mentorship and structured training Opportunity to work on real business problems Friendly and collaborative team culture",
"tags": null,
"job_url": "https://wellfound.com/jobs/4709961-data-analyst",
"posted_at_datetime": "2026-09-12T13:18:59Z",
"company_name": "Incanus Technologies",
"company_slug": "incanus-technologies-1",
"company_logo_url": "https://photos.wellfound.com/startups/i/10602871-01cb0237d731f6a83ecc612cd53f6c39-medium_jpg.jpg?buster=1752139805",
"company_high_concept": "ncanus Technologies is a data-first growth and analytics company ",
"company_size_range": "51-200",
"company_size_enum": "SIZE_51_200",
"company_active_jobs_count": null,
"company_badges": [
"Actively Hiring"
],
"company_stage": null,
"location_city": "Bangalore Urban",
"location_state": "Karnataka",
"location_country": "India",
"workplace_type": "hybrid",
"remote_option": false,
"salary_min": 80000,
"salary_max": 90000,
"salary_currency": "USD",
"salary_text": "$80k – $90k • No equity",
"equity_min": null,
"equity_max": null,
"equity_text": "No equity",
"no_equity": true,
"employment_type": "full-time",
"experience_years_min": 0,
"experience_years_max": null,
"industry": "Education Technology",
"market_tags": null,
"description_snippet": "Job Title: Data Analyst – Fresher Company Name: Incanus Technologies Pvt Ltd Location: Bangalore, India (On-site) Experience Required: 0–1 Years Employment Type: Full-Time ** Industry: IT Services / Analytics / Freshers Education: B.E./B.Tech, B.Sc, BCA, M.Sc, MCA, or related field Job Description: We are looking for an enthusiastic and detail-oriented Data Analyst (Fresher) to join our analytics team. If you are passionate about data, eager to work on real-world business problems, and proficien",
"description_full": "Job Title: Data Analyst – Fresher Company Name: Incanus Technologies Pvt Ltd Location: Bangalore, India (On-site) Experience Required: 0–1 Years Employment Type: Full-Time ** Industry: IT Services / Analytics / Freshers Education: B.E./B.Tech, B.Sc, BCA, M.Sc, MCA, or related field\n\nJob Description: We are looking for an enthusiastic and detail-oriented Data Analyst (Fresher) to join our analytics team. If you are passionate about data, eager to work on real-world business problems, and proficient in Python and SQL, we’d love to hear from you.\n\nResponsibilities:\n\nAnalyze large datasets to identify trends, patterns, and insights\nWrite efficient SQL queries to extract and manipulate data\nUse Python for data cleaning, analysis, and automation (Pandas, NumPy, etc.)\nCreate visual reports using tools or libraries (Matplotlib, Seaborn, or Excel)\nCollaborate with product and business teams to solve data-related problems\nMaintain dashboards and ensure data accuracy and consistency\nRequired Skills:\n\nProficiency in Python for data analysis (Pandas, NumPy, basic scripting)\nStrong command of SQL (joins, aggregations, subqueries)\nGood understanding of data structures and basic statistics\nStrong problem-solving skills and attention to detail\nEffective communication and willingness to learn\nPreferred (Good to Have): Exposure to BI tools like Power BI / Tableau Understanding of Excel/Google Sheets functions Internship/project experience in data analysis or related work\n\nBenefits: Flexible working hours Mentorship and structured training Opportunity to work on real business problems Friendly and collaborative team culture",
"description_html": "<p>Job Title: Data Analyst – Fresher Company Name: Incanus Technologies Pvt Ltd Location: Bangalore, India (On-site) Experience Required: 0–1 Years Employment Type: Full-Time ** Industry: IT Services / Analytics / Freshers Education: B.E./B.Tech, B.Sc, BCA, M.Sc, MCA, or related field</p>\n\n<p>Job Description: We are looking for an enthusiastic and detail-oriented Data Analyst (Fresher) to join our analytics team. If you are passionate about data, eager to work on real-world business problems, and proficient in Python and SQL, we’d love to hear from you.</p>\n\n<p>Responsibilities:</p>\n\n<p>Analyze large datasets to identify trends, patterns, and insights<br>\nWrite efficient SQL queries to extract and manipulate data<br>\nUse Python for data cleaning, analysis, and automation (Pandas, NumPy, etc.)<br>\nCreate visual reports using tools or libraries (Matplotlib, Seaborn, or Excel)<br>\nCollaborate with product and business teams to solve data-related problems<br>\nMaintain dashboards and ensure data accuracy and consistency<br>\nRequired Skills:</p>\n\n<p>Proficiency in Python for data analysis (Pandas, NumPy, basic scripting)<br>\nStrong command of SQL (joins, aggregations, subqueries)<br>\nGood understanding of data structures and basic statistics<br>\nStrong problem-solving skills and attention to detail<br>\nEffective communication and willingness to learn<br>\nPreferred (Good to Have): Exposure to BI tools like Power BI / Tableau Understanding of Excel/Google Sheets functions Internship/project experience in data analysis or related work</p>\n\n<p>Benefits: Flexible working hours Mentorship and structured training Opportunity to work on real business problems Friendly and collaborative team culture</p>\n",
"posted_at": "2026-09-12T13:18:59Z",
"source_url": "https://wellfound.com/jobs/4709961-data-analyst",
"source_platform": "wellfound.com",
"apply_url": "https://wellfound.com/jobs/4709961-data-analyst",
"ats_source": null,
"search_query": "data analyst",
"serp_page": 1,
"scraped_at": "2026-10-02T06:55:08Z",
"extraction_mode": "serp+detail",
"company_about": null,
"company_website": "https://www.newtonschool.co/",
"company_founded": null,
"company_funding_total": null,
"company_industry": null,
"company_offices": null,
"company_headquarters": null,
"company_tech_stack": null,
"company_benefits": null,
"sponsors_visa": false,
"company_active_jobs": null,
"company_founders": null,
"company_investors": null,
"relocation_allowed": null,
"company_rating": null,
"company_ratings": null,
"company_employees_joined_from": null,
"company_funding_rounds_count": null,
"company_latest_round": null,
"company_latest_round_date": null,
"company_latest_round_amount": null,
"company_valuation": null,
"company_type": null,
"company_benefits_detail": null,
"company_jobs_by_department": null,
"primary_role": "Data Analyst",
"accepted_remote_locations": null,
"auto_posted": false
}Priced at $0.0100 per job detail-page enrichment. 10 job detail-page enrichments ≈ $0.10, 100 ≈ $1.00, 1,000 ≈ $10.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.
Startup recruiters and talent teams use this actor to monitor the Wellfound (formerly AngelList Talent) inventory by role keyword and remote flag, keeping their pipeline current on what early-stage and growth-stage companies are hiring for without daily manual browsing.
Job aggregator builders targeting the US startup market use the tags field (SaaS, Fintech, Healthcare, AI/ML) to power faceted filtering on their boards, and the company_url to link through to full company profiles for additional context.
Salary analysts and compensation benchmarkers covering the startup ecosystem extract disclosed pay ranges by role keyword to build offer guidance that accounts for equity-stage dynamics specific to seed and Series A/B companies.
Click Open on Apify above to run wellfound-jobs-scraper in your browser - no code, no install. In the Apify console you get:
To run this actor from your own code you need an Apify API token. Get one in about a minute:
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.
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~wellfound-jobs-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/wellfound-jobs-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/wellfound-jobs-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/wellfound-jobs-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/wellfound-jobs-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();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/wellfound-jobs-scraperExample prompt once connected:
"Use <code>wellfound-jobs-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.
Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.
@apify/n8n-nodes-apify).santamaria-automations/wellfound-jobs-scraper.https://api.apify.com/v2/acts/santamaria-automations~wellfound-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.application/json.https://api.apify.com/v2/acts/santamaria-automations~wellfound-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.https://api.apify.com/v2/acts/santamaria-automations~wellfound-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.steps.http.$return_value in subsequent steps.https://api.apify.com/v2/acts/santamaria-automations~wellfound-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.$10.00 / 1,000 job detail-page enrichment, 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.
78 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.
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.
No. This actor reads public pages over HTTP with residential proxies. No API key, no OAuth, no rate-limit management on your side.
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.