PowertoFly Jobs Scraper
Pricing
Pay per usage
PowertoFly Jobs Scraper
Efficiently extract job listings with the Powertofly Jobs Scraper. This lightweight actor is designed to gather detailed job data from PowerToFly quickly and reliably. To ensure the best performance and avoid blocking, using residential proxies is highly recommended.
Pricing
Pay per usage
Rating
0.0
(0)
Developer

Shahid Irfan
Actor stats
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Bookmarked
2
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0
Monthly active users
20 days ago
Last modified
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Extract PowerToFly job listings quickly and reliably for research, recruiting, and market intelligence workflows. Collect rich job posting data including titles, companies, locations, compensation hints, descriptions, and application links in a clean dataset. This actor is built for automated, repeatable job data collection at scale.
Features
- Comprehensive job records — Collect job titles, company details, location data, posting dates, and full descriptions
- Flexible search controls — Search by keyword, location, category, or start from a specific PowerToFly jobs URL
- Fresh-first sorting — Prioritize newer published roles with one input toggle
- Deduplication support — Remove repeated job IDs automatically for cleaner datasets
- Structured output — Get normalized fields ready for analytics, dashboards, and automation
- Proxy-ready runs — Configure residential proxies for higher reliability on cloud runs
Use Cases
Job Board Aggregation
Build or enrich job boards with consistent PowerToFly listings. Keep your catalog updated with new openings and structured metadata.
Talent Market Intelligence
Track hiring activity by role, location, and company. Identify demand patterns and benchmark shifts in the job market.
Recruitment Operations
Support sourcing and recruiting teams with searchable job datasets. Analyze role requirements and employer activity in one place.
Career Trend Analysis
Study emerging job titles, required skills, and work models across industries. Use data for reports, content, and career guidance.
Automated Data Pipelines
Feed job data into BI tools, CRMs, alerts, and internal systems. Schedule recurring runs for continuous monitoring.
Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
startUrl | String | No | — | PowerToFly jobs URL to start from |
keyword | String | No | — | Search keywords (for example: software engineer) |
location | String | No | — | Location filter (for example: Remote) |
category | String | No | — | Category filter |
sortByPublished | Boolean | No | true | When true, prioritizes newer published jobs |
results_wanted | Integer | No | 100 | Maximum number of jobs to return |
max_pages | Integer | No | 20 | Maximum number of result pages to process |
proxyConfiguration | Object | No | Apify Residential | Proxy settings for cloud reliability |
Output Data
Each dataset item may contain the following fields (some values can be null when unavailable on the source listing):
| Field | Type | Description |
|---|---|---|
job_id | String | Unique job identifier |
url | String | Canonical PowerToFly job URL |
title | String | Job title |
company | String | Company name |
company_id | String | Company identifier |
job_location | String | Normalized location string |
job_location_raw | String | Raw location text from listing |
city | String | Parsed city |
region | String | Parsed state/region |
country | String | Parsed country |
work_model | String | Work model such as Remote, Hybrid, or Onsite |
is_remote | Boolean | Whether role is remote |
remote_type | String | Remote classification text |
salary | String | Salary or compensation text when available |
employment_type | String | Employment type when available |
date_posted | String | Normalized posting datetime |
date_posted_raw | String | Raw posting datetime text |
date_posted_relative | String | Relative posting text |
description_html | String | Job description in HTML |
description_text | String | Job description as plain text |
skills | Array | Extracted skill tags |
apply_url | String | Apply link |
apply_is_custom_link | Boolean | Indicates custom apply behavior |
is_external_apply | Boolean | Whether apply flow is external |
company_url | String | Company profile URL |
company_location | String | Company location text |
company_description | String | Company description text |
source | String | Source name |
scraped_at | String | Extraction timestamp |
location | String | Alias of job_location |
job_type | String | Alias of employment_type |
Usage Examples
Basic Collection
Collect recent jobs with default settings:
{"results_wanted": 100}
Keyword and Location Search
Collect remote software engineering roles:
{"keyword": "software engineer","location": "Remote","results_wanted": 200,"max_pages": 10}
Start From a Specific Jobs URL
Use a prepared PowerToFly jobs URL:
{"startUrl": "https://powertofly.com/jobs/?keywords=data+scientist&location=Remote","results_wanted": 150}
Sample Output
{"job_id": "2497464","url": "https://powertofly.com/jobs/detail/2497464","title": "Senior Manager, Enterprise Risk Management","company": "VISA","company_id": "10996","job_location": "Foster City, CA, United States","city": "Foster City","region": "CA","country": "United States","work_model": "Onsite","is_remote": false,"salary": "149,800.00 to 240,100.00 USD","employment_type": "Full time","date_posted": "2026-02-10T01:18:52.180Z","description_text": "...","skills": [],"apply_url": "https://powertofly.com/jobs/apply/unauth_apply?jid=2497464&confirm=1","company_url": "https://powertofly.com/companies/visa1","source": "powertofly.com","scraped_at": "2026-02-10T10:24:33.007Z","location": "Foster City, CA, United States","job_type": "Full time"}
Tips for Best Results
Start Small, Then Scale
- Run with
results_wantedbetween20and50first - Validate output fields before large production runs
- Increase limits after confirming your filters
Use Targeted Queries
- Combine
keywordandlocationfor higher relevance - Use specific job-title phrases for cleaner datasets
- Keep
categoryfocused when narrowing industry segments
Keep Data Clean
- Job IDs are deduplicated automatically during collection
- Full job details are always collected by default
- Re-run on schedules to keep listings fresh
Improve Reliability in Cloud Runs
- Use
proxyConfigurationwith residential proxies - Retry with smaller
max_pagesif the source is unstable - Schedule multiple smaller runs instead of one very large run
Proxy Configuration
For reliable cloud execution, residential proxies are recommended:
{"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Integrations
Connect extracted job data to:
- Google Sheets — Analyze and share job datasets quickly
- Airtable — Build searchable recruiting and research bases
- Slack — Notify teams about new matching roles
- Webhooks — Send data to custom services in real time
- Make — Build no-code automations
- Zapier — Trigger downstream actions from new records
Export Formats
- JSON — Best for APIs and development workflows
- CSV — Spreadsheet-ready for reporting
- Excel — Business-friendly analysis format
- XML — Structured exchange for legacy systems
Frequently Asked Questions
How many jobs can I collect in one run?
You can set your own limit with results_wanted. Actual volume depends on available listings and filters.
Can I collect only remote jobs?
Yes. Set location to Remote or use a remote-focused jobs URL in startUrl.
Why are some fields empty?
Some postings do not publish every field. Missing source values are returned as null.
Is deduplication enabled?
Yes. Job IDs are deduplicated automatically.
Are full details included?
Yes. The actor always returns complete job records, including description and application-related fields when available.
Can I schedule this actor?
Yes. You can run it on a schedule in Apify to keep data continuously updated.
Support
For issues, improvements, or feature requests, use your Apify actor page and run logs.
Resources
Legal Notice
This actor is provided for legitimate data collection and analysis use cases. You are responsible for complying with applicable laws, regulations, and website terms. Use extracted data responsibly.