### Get Candidate Summary

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Fetches a summary of a candidate's election information for a specific cycle. Requires 'cid' and 'cycle' parameters.

```python
print(CRP.candSummary.get(cid='N00007360',cycle='2014'))
```

--------------------------------

### Setup and Initialization for CRP API

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Import the CRP library and set your API key directly or from an environment variable. All API calls are wrapped in a try-except block to catch CRPApiError.

```python
import os
from crpapi import CRP, CRPApiError

# Option 1: Set key directly
CRP.apikey = 'your-api-key-here'

# Option 2: Load from environment variable
CRP.apikey = os.getenv("OPENSECRETS_API_KEY")

# All calls raise CRPApiError on failure
try:
    results = CRP.getLegislators.get(id='NJ04')
except CRPApiError as e:
    print(f"API error: {e}")
```

--------------------------------

### Setup and Initialization

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Import the library and set your API key before making any calls. An API key can be obtained at https://www.opensecrets.org/api/admin/. Optionally, load the key from an environment variable. All calls raise CRPApiError on failure.

```APIDOC
## Setup and Initialization

Import the library and set your API key before making any calls. An API key can be obtained at https://www.opensecrets.org/api/admin/. Optionally, load the key from an environment variable.

```python
import os
from crpapi import CRP, CRPApiError

# Option 1: Set key directly
CRP.apikey = 'your-api-key-here'

# Option 2: Load from environment variable
CRP.apikey = os.getenv("OPENSECRETS_API_KEY")

# All calls raise CRPApiError on failure
try:
    results = CRP.getLegislators.get(id='NJ04')
except CRPApiError as e:
    print(f"API error: {e}")
```
```

--------------------------------

### Get Organizations by Name

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Searches for organizations based on a partial or full name. Returns a list of matching organizations with their names and IDs.

```python
print(CRP.getOrgs.get(org='Goog'))
```

--------------------------------

### Get Candidate Industry Data

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves a list of industries a candidate has received contributions from, along with the amounts. Requires candidate ID and cycle year.

```python
print(CRP.candIndustry.get(cid='N00007360',cycle='2014'))
```

--------------------------------

### Get Candidate Sector Data

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves a list of economic sectors a candidate has received contributions from, along with the amounts. Requires candidate ID and cycle year.

```python
print(CRP.candSector.get(cid='N00007360',cycle='2014'))
```

--------------------------------

### Get Candidate Contributions

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves a list of contributions made to a candidate for a specific cycle. Requires 'cid' and 'cycle' parameters. The output includes a list of organizations and their contribution totals.

```python
print(CRP.candContrib.get(cid='N00007360',cycle='2014'))
```

--------------------------------

### Get Organization Summary

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves a summary of financial contributions and lobbying activity for a specific organization. Requires the organization's ID and cycle year.

```python
print(CRP.orgSummary.get(id='D000022008'))
```

--------------------------------

### Get Legislators by ID

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieve legislator information using the getLegislators method. Pass the desired legislator ID as an argument.

```python
print(CRP.getLegislators.get(id='NJ04'))
```

--------------------------------

### Get Candidate Industry by Specific Industry

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves detailed information about a candidate's contributions from a specific industry. Requires candidate ID, cycle year, and industry code.

```python
print(CRP.candIndByInd.get(cid='N00007360',cycle='2014',ind='H01'))
```

--------------------------------

### Fetch Member's Personal Financial Disclosure Profile

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Get a legislator's financial disclosure data for a specific year. This includes asset holdings, net worth, and financial transactions, useful for transparency analysis.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Fetch Dianne Feinstein's 2010 financial disclosure
profile = CRP.memPFDprofile.get(cid='N00007364', year='2010')

attrs = profile['@attributes']
print(f"Member: {attrs['name']}")
print(f"Net worth range: ${int(attrs['net_low']):,} - ${int(attrs['net_high']):,}")
print(f"Total assets: {attrs['asset_count']}, Transactions: {attrs['transaction_count']}")

# List top assets
for asset in profile['assets']['asset'][:3]:
    a = asset['@attributes']
    print(f"  Asset: {a['name']} ({a['industry']}) "
          f"${int(a['holdings_low']):,} - ${int(a['holdings_high']):,}")
```

--------------------------------

### Get Committee Industry Data

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves data for a specific industry code and committee. Requires the 'indus' and 'cmte' parameters. The output is a list of dictionaries, each containing committee details.

```python
print(CRP.congCmteIndus.get(indus='F10',cmte='HARM'))
#[{u'@attributes': {u'cid': u'N00024753', u'pacs': u'9500', u'indivs': u'81800',u'state': u'Colorado', u'member_name': u'Coffman, Mike', u'party': u'R', u'total':u'91300'}}, {u'@attributes': {u'cid': u'N00031244', u'pacs': u'12500', u'indivs': u'36300', u'state': u'Nevada', u'member_name': u'Heck, Joe', u'party': u'R', u'total': u'48800'}}, {u'@attributes': {u'cid': u'N00030962', u'pacs': u'4500', u'indivs': u'40150', u'state': u'Virginia', u'member_name': u'Rigell, Scott',u'party': u'R', u'total': u'44650'}}, {u'@attributes': {u'cid': u'N00025881', u'pacs': u'2000', u'indivs': u'41200', u'state': u'Hawaii', u'member_name': u'Hanabusa, Colleen', u'party': u'D', u'total': u'43200'}}, {u'@attributes': {u'cid':u'N00033591', u'pacs': u'6000', u'indivs': u'37000', u'state': u'California', u'member_name': u'Peters, Scott', u'party': u'D', u'total': u'43000'}}, {u'@attributes': {u'cid': u'N00031005', u'pacs': u'0', u'indivs': u'36050', u'state': u'Missouri', u'member_name': u'Hartzler, Vicky', u'party': u'R', u'total': u'36050'}}, {u'@attributes': {u'cid': u'N00033839', u'pacs': u'10000', u'indivs': u'22650', u'state': u'Texas', u'member_name': u'Veasey, Marc', u'party': u'D', u'total': u'32650'}}, {u'@attributes': {u'cid': u'N00004436', u'pacs': u'7000', u'indivs': u'24550', u'state': u'Minnesota', u'member_name': u'Kline, John', u'party': u'R', u'total': u'31550'}}, {u'@attributes': {u'cid': u'N00030768', u'pacs':u'3000', u'indivs': u'28250', u'state': u'Alabama', u'member_name': u'Roby, Martha', u'party': u'R', u'total': u'31250'}}, {u'@attributes': {u'cid':u'N00029026', u'pacs': u'2000', u'indivs': u'27500', u'state': u'Massachusetts', u'member_name': u'Tsongas, Niki', u'party': u'D', u'total': u'29500'}},{u'@attributes': {u'cid': u'N00032022', u'pacs': u'6500', u'indivs': u'20250', u'state': u'South Dakota', u'member_name': u'Noem, Kristi', u'party': u'R',u'total': u'26750'}}, {u'@attributes': {u'cid': u'N00013770', u'pacs': u'11500', u'indivs': u'13500', u'state': u'Pennsylvania', u'member_name': u'Shuster,Bill', u'party': u'R', u'total': u'25000'}}, {u'@attributes': {u'cid': u'N00008274', u'pacs': u'2000', u'indivs': u'21440', u'state': u'California',u'member_name': u'Sanchez, Loretta', u'party': u'D', u'total': u'23440'}}, {u'@attributes': {u'cid': u'N00013799', u'pacs': u'2000', u'indivs':u'19800', u'state': u'Virginia', u'member_name': u'Forbes, Randy', u'party': u'R', u'total': u'21800'}}, {u'@attributes': {u'cid': u'N00033981', u'pacs':u'4000', u'indivs': u'17750', u'state': u'Arizona', u'member_name': u'Barber, Ron', u'party': u'D', u'total': u'21750'}}, {u'@attributes': {u'cid':u'N00033310', u'pacs': u'10000', u'indivs': u'11350', u'state': u'Ohio', u'member_name': u'Wenstrup, Brad', u'party': u'R', u'total': u'21350'}}, {u'@attributes': {u'cid': u'N00027891', u'pacs': u'5000', u'indivs': u'16000', u'state': u'New York', u'member_name': u'Maffei, Dan', u'party': u'D', u'total':u'21000'}}, {u'@attributes': {u'cid': u'N00029679', u'pacs': u'1000', u'indivs': u'18350', u'state': u'Louisiana', u'member_name': u'Fleming, John',u'party': u'R', u'total': u'19350'}}, {u'@attributes': {u'cid': u'N00029649', u'pacs': u'1000', u'indivs': u'18220', u'state': u'California', u'member_name':u'Speier, Jackie', u'party': u'D', u'total': u'19220'}}, {u'@attributes': {u'cid': u'N00024759', u'pacs': u'8390', u'indivs': u'10750', u'state':u'Alabama', u'member_name': u'Rogers, Mike D', u'party': u'R', u'total': u'19140'}}, {u'@attributes': {u'cid': u'N00033316', u'pacs': u'6000', u'indivs':u'12934', u'state': u'Texas', u'member_name': u'Castro, Joaquin', u'party': u'D', u'total': u'18934'}}, {u'@attributes': {u'cid': u'N00003132', u'pacs':u'2000', u'indivs': u'16600', u'state': u'Tennessee', u'member_name': u'Cooper, Jim', u'party': u'D', u'total': u'18600'}}, {u'@attributes': {u'cid':u'N00025175', u'pacs': u'12000', u'indivs': u'6550', u'state': u'Ohio', u'member_name': u'Turner, Michael R', u'party': u'R', u'total': u'18550'}},{u'@attributes': {u'cid': u'N00029258', u'pacs': u'11000', u'indivs': u'7200', u'state': u'California', u'member_name': u'Hunter, Duncan D', u'party': u'R', u'total': u'18200'}}, {u'@attributes': {u'cid': u'N00034453', u'pacs': u'8000', u'indivs': u'9550', u'state': u'Washington', u'member_name': u'Kilmer, Derek',u'party': u'D', u'total': u'17550'}}, {u'@attributes': {u'cid': u'N00030856', u'pacs': u'2000', u'indivs': u'14885', u'state': u'California', u'member_name':u'Garamendi, John', u'party': u'D', u'total': u'16885'}}, {u'@attributes': {u'cid': u'N00034224', u'pacs': u'1000', u'indivs': u'14850', u'state':u'California', u'member_name': u'Cook, Paul', u'party': u'R', u'total': u'15850'}}, {u'@attributes': {u'cid': u'N00032457', u'pacs': u'4890', u'indivs':u'10350', u'state': u'Georgia', u'member_name': u'Scott, Austin', u'party': u'R', u'total': u'15240'}}, {u'@attributes': {u'cid': u'N00031226', u'pacs':u'7000'
```

--------------------------------

### Get Member Personal Financial Disclosure Profile

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves the personal financial disclosure profile for a specific member of Congress for a given year. Requires 'cid' and 'year' parameters.

```python
print(CRP.memPFDprofile.get(cid='N00007364',year='2010'))
```

--------------------------------

### Initialize CRP API with API Key

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Import the CRP module and set your API key. Ensure you have registered for an API key at https://www.opensecrets.org/api/admin/.

```python
from crpapi import CRP, CRPApiError
CRP.apikey = 'yr-api-key'
```

--------------------------------

### Initialize CRP API with Environment Variable

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Import the CRP module and set your API key using an environment variable. This is an alternative to hardcoding the API key.

```python
import os
from crpapi import CRP, CRPApiError
CRP.apikey = os.getenv("OPEN_STATES_API_KEY") # Use whatever key you have set in your .bashrc or .zshrc file
```

--------------------------------

### Fetch Candidate's Fundraising Summary

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Retrieve high-level campaign finance figures for a candidate in a given election cycle, including total raised, spent, cash on hand, and debt.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Fetch Nancy Pelosi's 2014 cycle fundraising summary
summary = CRP.candSummary.get(cid='N00007360', cycle='2014')

print(f"Candidate: {summary['cand_name']} ({summary['party']}, {summary['state']})")
print(f"Total raised: ${float(summary['total']):,.2f}")
print(f"Total spent:  ${float(summary['spent']):,.2f}")
print(f"Cash on hand: ${float(summary['cash_on_hand']):,.2f}")
print(f"Debt:         ${float(summary['debt']):,.2f}")
print(f"Source: {summary['source']}")
```

--------------------------------

### Fetch Organization Spending Summary (Python)

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Retrieves a detailed spending summary for a given organization. Requires the organization's ID. Useful for understanding an organization's political financial activities.

```python
summary = CRP.orgSummary.get(id='D000022008')
a = summary['@attributes']

print(f"Organization: {a['orgname']} (Cycle: {a['cycle']})")
print(f"Total contributions:  ${int(a['total']):,}")
print(f"Lobbying spend:       ${int(a['lobbying']):,}")
print(f"Democrats:            ${int(a['dems']):,}")
print(f"Republicans:          ${int(a['repubs']):,}")
print(f"PAC contributions:    ${int(a['pacs']):,}")
print(f"Individual donations: ${int(a['indivs']):,}")
print(f"Members invested:     {a['mems_invested']}")
```

--------------------------------

### orgSummary.get

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves a summary of financial contributions and activities for a specific organization.

```APIDOC
## GET orgSummary

### Description
Provides a financial summary for a given organization, including total contributions, amounts given to parties, PACs, candidates, and lobbying expenses for a specified cycle.

### Method
GET

### Endpoint
/orgSummary

### Parameters
#### Query Parameters
- **id** (string) - Required - The organization ID (e.g., 'D000022008').
- **cycle** (string) - Optional - The election cycle (e.g., '2014').

### Response
#### Success Response (200)
- Returns a dictionary containing attributes such as `orgname`, `total`, `gave_to_party`, `gave_to_pac`, `gave_to_cand`, `lobbying`, `dems`, `repubs`, and `cycle`.

### Response Example
{
  "@attributes": {
    "gave_to_party": "394046",
    "gave_to_pac": "215000",
    "pacs": "381500",
    "orgname": "Google Inc",
    "gave_to_cand": "680409",
    "source": "www.opensecrets.org/orgs/summary.php?id=D000022008",
    "repubs": "481717",
    "indivs": "667655",
    "lobbying": "15800000",
    "outside": "0",
    "orgid": "D000022008",
    "dems": "715598",
    "mems_invested": "25",
    "total": "1424019",
    "soft": "220500",
    "tot527": "154364",
    "gave_to_527": "154364",
    "cycle": "2014"
  }
}
```

--------------------------------

### Fetch Candidate Contributions by Sector

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Retrieves contribution totals for a candidate, grouped by broad economic sectors. Requires candidate ID and cycle. The results can be sorted by total contributions.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Fetch sector-level contributions to Nancy Pelosi in 2014
sectors = CRP.candSector.get(cid='N00007360', cycle='2014')

# Sort by total descending and print top 5
sorted_sectors = sorted(sectors, key=lambda x: int(x['@attributes']['total']), reverse=True)

print("Top sectors by contribution:")
for sector in sorted_sectors[:5]:
    a = sector['@attributes']
    print(f"  {a['sector_name']:<30} ${int(a['total']):>8,}")
```

--------------------------------

### Fetch Candidate Top Contributors

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Retrieves the top contributing organizations for a specific candidate in a given election cycle. Requires setting the API key and providing candidate ID and cycle.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Fetch top contributors to Nancy Pelosi in 2014
contributors = CRP.candContrib.get(cid='N00007360', cycle='2014')

print("Top Contributors:")
for contrib in contributors[:5]:
    attrs = contrib['@attributes']
    print(f"  {attrs['org_name']}: ${int(attrs['total']):,}")
```

--------------------------------

### candIndByInd.get

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves detailed industry information for a candidate within a specific industry and cycle.

```APIDOC
## GET candIndByInd

### Description
Retrieves detailed information about a candidate's performance within a specific industry for a given election cycle. Includes total contributions, PACs, individuals, party affiliation, and source URL.

### Method
GET

### Endpoint
/candIndByInd

### Parameters
#### Query Parameters
- **cid** (string) - Required - The candidate ID.
- **cycle** (string) - Required - The election cycle (e.g., '2014').
- **ind** (string) - Required - The industry code (e.g., 'H01').

### Response
#### Success Response (200)
- Returns a dictionary containing details such as `cand_name`, `industry`, `pacs`, `indivs`, `total`, `party`, `state`, and `cycle`.

### Response Example
{
  "origin": "Center for Responsive Politics",
  "last_updated": "2/18/14",
  "cand_name": "Pelosi, Nancy",
  "cid": "N00007360",
  "industry": "Health Professionals",
  "pacs": "70500",
  "rank": "36",
  "indivs": "4250",
  "chamber": "H",
  "state": "California",
  "source": "https://www.opensecrets.org/industries/recips.php?Ind=H01&cycle=2014&recipdetail=H&Mem=Y&sortorder=U",
  "party": "D",
  "total": "74750",
  "cycle": "2014"
}
```

--------------------------------

### Fetch Candidate Fundraising by Specific Industry

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Provides detailed fundraising data for a candidate within a single industry code, including their rank among all candidates in that industry. Requires candidate ID, cycle, and industry code.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Fetch Nancy Pelosi's Health Professionals (H01) contributions in 2014
data = CRP.candIndByInd.get(cid='N00007360', cycle='2014', ind='H01')

print(f"Candidate: {data['cand_name']} ({data['party']}, {data['state']})")
print(f"Industry:  {data['industry']}")
print(f"Total:     ${int(data['total']):,} (PACs: ${int(data['pacs']):,}, Individuals: ${int(data['indivs']):,})")
print(f"Rank among all candidates in this industry: #{data['rank']}")
```

--------------------------------

### candSummary.get

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves a summary of a candidate's election information. Requires the candidate's unique ID (cid) and the election cycle.

```APIDOC
## candSummary.get

### Description
Retrieves a summary of a candidate's election information, including their name, party, state, and financial details for a specific election cycle.

### Method
GET (simulated)

### Endpoint
Not applicable (SDK method)

### Parameters
#### Path Parameters
None

#### Query Parameters
- **cid** (string) - Required - The unique identifier for the candidate.
- **cycle** (string) - Required - The election cycle (e.g., '2014').

### Request Example
```python
print(CRP.candSummary.get(cid='N00007360',cycle='2014'))
```

### Response
#### Success Response (200)
- **origin** (string) - The source of the data.
- **next_election** (string) - The year of the next election for the candidate.
- **debt** (string) - The amount of debt the candidate has.
- **last_updated** (string) - The date the data was last updated.
- **cand_name** (string) - The full name of the candidate.
- **cid** (string) - The unique identifier for the candidate.
- **spent** (string) - The total amount spent by the candidate.
- **chamber** (string) - The chamber the candidate is running for (e.g., 'H' for House).
- **state** (string) - The state the candidate represents.
- **first_elected** (string) - The year the candidate was first elected.
- **source** (string) - The URL of the source data.
- **party** (string) - The political party of the candidate.
- **total** (string) - The total amount of contributions received.
- **cash_on_hand** (string) - The amount of cash the candidate has on hand.
- **cycle** (string) - The election cycle.

#### Response Example
```json
{
  "origin": "Center for Responsive Politics",
  "next_election": "2014",
  "debt": "0",
  "last_updated": "12/31/2013",
  "cand_name": "Pelosi, Nancy",
  "cid": "N00007360",
  "spent": "1304840.24",
  "chamber": "H",
  "state": "CA",
  "first_elected": "1987",
  "source": "https://www.opensecrets.org/politicians/summary.php?cid=N00007360&cycle=2014",
  "party": "D",
  "total": "1294719.87",
  "cash_on_hand": "439206.96",
  "cycle": "2014"
}
```
```

--------------------------------

### CRP.orgSummary.get

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Fetch an organization's political spending summary, including total contributions, PAC money, and lobbying spend.

```APIDOC
## CRP.orgSummary.get — Fetch an organization's political spending summary

### Description
Returns comprehensive political spending data for an organization: total contributions, PAC money, lobbying spend, individual donations, party breakdown, and more.

### Method
GET

### Endpoint
`/v2/org_summary` (Assumed based on common API patterns and function name)

### Parameters
#### Query Parameters
- **id** (string) - Required - Organization ID (obtained from `CRP.getOrgs.get`)
- **cycle** (string) - Optional - Election cycle (e.g., '2014')

### Request Example
```python
from crpapi import CRP

CRP.apikey = 'your-api-key-here'
summary = CRP.orgSummary.get(id='D000022008', cycle='2014')
```

### Response
#### Success Response (200)
- **@attributes** (object) - Contains summary data like 'orgname', 'total', 'pacs', 'lobbying'

### Response Example
```json
{
  "@attributes": {
    "orgname": "Google Inc",
    "total": "1234567",
    "pacs": "500000",
    "lobbying": "734567"
  }
}
```
```

--------------------------------

### CRP.candSummary.get

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Fetch a candidate's fundraising summary. Returns high-level campaign finance figures for a candidate in a given election cycle: total raised, total spent, cash on hand, debt, party, chamber, and state.

```APIDOC
## `CRP.candSummary.get` — Fetch a candidate's fundraising summary

Returns high-level campaign finance figures for a candidate in a given election cycle: total raised, total spent, cash on hand, debt, party, chamber, and state.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Fetch Nancy Pelosi's 2014 cycle fundraising summary
summary = CRP.candSummary.get(cid='N00007360', cycle='2014')

print(f"Candidate: {summary['cand_name']} ({summary['party']}, {summary['state']})")
print(f"Total raised: ${float(summary['total']):,.2f}")
print(f"Total spent:  ${float(summary['spent']):,.2f}")
print(f"Cash on hand: ${float(summary['cash_on_hand']):,.2f}")
print(f"Debt:         ${float(summary['debt']):,.2f}")
print(f"Source: {summary['source']}")

# Example output:
# Candidate: Pelosi, Nancy (D, CA)
# Total raised: $1,294,719.87
# Total spent:  $1,304,840.24
# Cash on hand: $439,206.96
# Debt:         $0.00
```
```

--------------------------------

### getOrgs.get

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Searches for organizations based on a query string and returns matching organization IDs and names.

```APIDOC
## GET getOrgs

### Description
Searches for organizations by name or partial name. Returns a list of organizations with their names and unique IDs.

### Method
GET

### Endpoint
/getOrgs

### Parameters
#### Query Parameters
- **org** (string) - Required - The organization name or partial name to search for (e.g., 'Goog').

### Response
#### Success Response (200)
- Returns a list of dictionaries, where each dictionary contains `orgname` and `orgid` for matching organizations.

### Response Example
[
  {
    "@attributes": {
      "orgname": "Googasian Firm",
      "orgid": "D000051419"
    }
  },
  {
    "@attributes": {
      "orgname": "Google Inc",
      "orgid": "D000022008"
    }
  }
]
```

--------------------------------

### Fetch Organization Summary

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Retrieves a summary of political spending for a given organization, identified by its ID.

```APIDOC
## Fetch Google's political spending summary
summary = CRP.orgSummary.get(id='D000022008')
a = summary['@attributes']

print(f"Organization: {a['orgname']} (Cycle: {a['cycle']})")
print(f"Total contributions:  ${int(a['total']):,}")
print(f"Lobbying spend:       ${int(a['lobbying']):,}")
print(f"Democrats:            ${int(a['dems']):,}")
print(f"Republicans:          ${int(a['repubs']):,}")
print(f"PAC contributions:    ${int(a['pacs']):,}")
print(f"Individual donations: ${int(a['indivs']):,}")
print(f"Members invested:     {a['mems_invested']}")
```

--------------------------------

### Search Organizations by Name

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Searches for organizations by name and returns a list of matching organizations along with their OpenSecrets organization IDs. Useful for finding `orgid` for other queries.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Search for organizations with "Goog" in their name
orgs = CRP.getOrgs.get(org='Goog')

for org in orgs:
    attrs = org['@attributes']
    print(f"  {attrs['orgname']} — ID: {attrs['orgid']}")
```

--------------------------------

### Fetch Candidate Contributions by Industry

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Breaks down contributions received by a candidate from different industries, including PAC and individual totals. Requires candidate ID and cycle.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Fetch industry contributions to Nancy Pelosi in 2014
industries = CRP.candIndustry.get(cid='N00007360', cycle='2014')

print(f"{'Industry':<30} {'Total':>10} {'PACs':>10} {'Individuals':>12}")
print("-" * 65)
for ind in industries[:5]:
    a = ind['@attributes']
    print(f"{a['industry_name']:<30} ${int(a['total']):>9,} ${int(a['pacs']):>9,} ${int(a['indivs']):>11,}")
```

--------------------------------

### CRP.candIndustry.get

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Fetch a candidate's contributions by industry, including PAC vs. individual totals and industry codes.

```APIDOC
## CRP.candIndustry.get — Fetch a candidate's contributions by industry

### Description
Returns a breakdown of contributions received from different industries, including PAC vs. individual totals and industry codes.

### Method
GET

### Endpoint
`/v2/contributions/by_industry` (Assumed based on common API patterns and function name)

### Parameters
#### Query Parameters
- **cid** (string) - Required - Candidate ID
- **cycle** (string) - Required - Election cycle (e.g., '2014')

### Request Example
```python
from crpapi import CRP

CRP.apikey = 'your-api-key-here'
industries = CRP.candIndustry.get(cid='N00007360', cycle='2014')
```

### Response
#### Success Response (200)
- **@attributes** (object) - Contains attributes like 'industry_name', 'total', 'pacs', 'indivs'

### Response Example
```json
[
  {
    "@attributes": {
      "industry_name": "Health Professionals",
      "total": "74750",
      "pacs": "70500",
      "indivs": "4250"
    }
  }
]
```
```

--------------------------------

### Fetch Organization Summary

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Retrieves a comprehensive summary of an organization's political spending, including total contributions, PAC money, lobbying spend, and individual donations. Requires an organization ID.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'


```

--------------------------------

### candIndustry.get

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves industry data for a specific candidate. Requires candidate ID and election cycle.

```APIDOC
## GET candIndustry

### Description
Retrieves a list of industries associated with a candidate, including total contributions, PAC contributions, and individual contributions for a specified election cycle.

### Method
GET

### Endpoint
/candIndustry

### Parameters
#### Query Parameters
- **cid** (string) - Required - The candidate ID.
- **cycle** (string) - Required - The election cycle (e.g., '2014').

### Response
#### Success Response (200)
- Returns a list of dictionaries, where each dictionary represents an industry and contains attributes like `total`, `industry_code`, `industry_name`, `pacs`, and `indivs`.

### Response Example
[
  {
    "@attributes": {
      "total": "74750",
      "industry_code": "H01",
      "industry_name": "Health Professionals",
      "pacs": "70500",
      "indivs": "4250"
    }
  }
]
```

--------------------------------

### CRP.getOrgs.get

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Search for organizations by name and retrieve their OpenSecrets organization IDs.

```APIDOC
## CRP.getOrgs.get — Search for organizations by name

### Description
Returns a list of organizations matching the search term, with their OpenSecrets organization IDs. Use this to find an `orgid` for use with `orgSummary`.

### Method
GET

### Endpoint
`/v2/orgs/search` (Assumed based on common API patterns and function name)

### Parameters
#### Query Parameters
- **org** (string) - Required - Organization name or part of the name to search for

### Request Example
```python
from crpapi import CRP

CRP.apikey = 'your-api-key-here'
orgs = CRP.getOrgs.get(org='Goog')
```

### Response
#### Success Response (200)
- **@attributes** (object) - Contains attributes like 'orgname', 'orgid'

### Response Example
```json
[
  {
    "@attributes": {
      "orgname": "Googasian Firm",
      "orgid": "D000051419"
    }
  }
]
```
```

--------------------------------

### CRP.candIndByInd.get

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Fetch a candidate's fundraising within a specific industry, including rank among all candidates in that industry.

```APIDOC
## CRP.candIndByInd.get — Fetch a candidate's fundraising within a specific industry

### Description
Returns detailed fundraising data for a candidate from a single industry code, including rank among all candidates in that industry.

### Method
GET

### Endpoint
`/v2/contributions/by_industry` (Assumed, specific industry filtering might be a parameter)

### Parameters
#### Query Parameters
- **cid** (string) - Required - Candidate ID
- **cycle** (string) - Required - Election cycle (e.g., '2014')
- **ind** (string) - Required - Industry code (e.g., 'H01')

### Request Example
```python
from crpapi import CRP

CRP.apikey = 'your-api-key-here'
data = CRP.candIndByInd.get(cid='N00007360', cycle='2014', ind='H01')
```

### Response
#### Success Response (200)
- **cand_name** (string) - Candidate's name
- **party** (string) - Candidate's party affiliation
- **state** (string) - Candidate's state
- **industry** (string) - Industry name
- **total** (string) - Total contributions from this industry
- **pacs** (string) - PAC contributions from this industry
- **indivs** (string) - Individual contributions from this industry
- **rank** (string) - Rank among all candidates in this industry

### Response Example
```json
{
  "cand_name": "Pelosi, Nancy",
  "party": "D",
  "state": "California",
  "industry": "Health Professionals",
  "total": "74750",
  "pacs": "70500",
  "indivs": "4250",
  "rank": "36"
}
```
```

--------------------------------

### candSector.get

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves sector data for a specific candidate, including contributions by sector for a given election cycle.

```APIDOC
## GET candSector

### Description
Retrieves a list of economic sectors and the corresponding contributions from each sector to a specific candidate for a given election cycle. Includes total contributions, PAC contributions, and individual contributions.

### Method
GET

### Endpoint
/candSector

### Parameters
#### Query Parameters
- **cid** (string) - Required - The candidate ID.
- **cycle** (string) - Required - The election cycle (e.g., '2014').

### Response
#### Success Response (200)
- Returns a list of dictionaries, where each dictionary represents a sector and contains attributes like `total`, `indivs`, `sectorid`, `pacs`, and `sector_name`.

### Response Example
[
  {
    "@attributes": {
      "total": "11000",
      "indivs": "0",
      "sectorid": "A",
      "pacs": "11000",
      "sector_name": "Agribusiness"
    }
  }
]
```

--------------------------------

### CRP.candSector.get

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Fetch a candidate's contributions by sector, grouping totals by broad economic sectors.

```APIDOC
## CRP.candSector.get — Fetch a candidate's contributions by sector

### Description
Returns contribution totals grouped by broad economic sectors (e.g., Finance, Labor, Health, Technology).

### Method
GET

### Endpoint
`/v2/contributions/by_sector` (Assumed based on common API patterns and function name)

### Parameters
#### Query Parameters
- **cid** (string) - Required - Candidate ID
- **cycle** (string) - Required - Election cycle (e.g., '2014')

### Request Example
```python
from crpapi import CRP

CRP.apikey = 'your-api-key-here'
sectors = CRP.candSector.get(cid='N00007360', cycle='2014')
```

### Response
#### Success Response (200)
- **@attributes** (object) - Contains attributes like 'sector_name', 'total'

### Response Example
```json
[
  {
    "@attributes": {
      "sector_name": "Labor",
      "total": "165500"
    }
  }
]
```
```

--------------------------------

### CRP.candContrib.get

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Fetch the top contributing organizations for a candidate in a given cycle, including total dollars given.

```APIDOC
## CRP.candContrib.get — Fetch a candidate's top contributors

### Description
Returns the top contributing organizations for a candidate in a given cycle, including total dollars given.

### Method
GET

### Endpoint
`/v2/contributions/by_organization` (Assumed based on common API patterns and function name)

### Parameters
#### Query Parameters
- **cid** (string) - Required - Candidate ID
- **cycle** (string) - Required - Election cycle (e.g., '2014')

### Request Example
```python
from crpapi import CRP

CRP.apikey = 'your-api-key-here'
contributors = CRP.candContrib.get(cid='N00007360', cycle='2014')
```

### Response
#### Success Response (200)
- **@attributes** (object) - Contains attributes like 'org_name', 'total'

### Response Example
```json
[
  {
    "@attributes": {
      "org_name": "Certain Software Inc",
      "total": "10400"
    }
  }
]
```
```

--------------------------------

### candContrib.get

Source: https://github.com/opensecrets/python-crpapi/blob/master/README.md

Retrieves contribution data for a specific candidate. Requires the candidate's unique ID (cid) and the election cycle.

```APIDOC
## candContrib.get

### Description
Retrieves a list of contributions made to a specific candidate for a given election cycle. Includes details about the contributing organizations and the amounts.

### Method
GET (simulated)

### Endpoint
Not applicable (SDK method)

### Parameters
#### Path Parameters
None

#### Query Parameters
- **cid** (string) - Required - The unique identifier for the candidate.
- **cycle** (string) - Required - The election cycle (e.g., '2014').

### Request Example
```python
print(CRP.candContrib.get(cid='N00007360',cycle='2014'))
```

### Response
#### Success Response (200)
- **@attributes** (object) - Contains attributes for each contribution, such as organization name and total contribution amount.

#### Response Example
```json
[
  {
    "@attributes": {
      "org_name": "Certain Software Inc",
      "total": "10400"
    }
  },
  {
    "@attributes": {
      "org_name": "Chartwell Hotels",
      "total": "10400"
    }
  },
  {
    "@attributes": {
      "org_name": "Jewish Community Federation",
      "total": "10400"
    }
  },
  {
    "@attributes": {
      "org_name": "Marcus & Millichap",
      "total": "10400"
    }
  },
  {
    "@attributes": {
      "org_name": "Stanford University",
      "total": "10400"
    }
  },
  {
    "@attributes": {
      "org_name": "Facebook Inc",
      "total": "10200"
    }
  },
  {
    "@attributes": {
      "org_name": "American Assn for Justice",
      "total": "10000"
    }
  },
  {
    "@attributes": {
      "org_name": "American Health Care Assn",
      "total": "10000"
    }
  },
  {
    "@attributes": {
      "org_name": "Boeing Co",
      "total": "10000"
    }
  },
  {
    "@attributes": {
      "org_name": "Francisco Partners",
      "total": "10000"
    }
  }
]
```
```

--------------------------------

### Fetch Legislators by State or District

Source: https://context7.com/opensecrets/python-crpapi/llms.txt

Retrieve a list of legislators for a specific state or district ID. The output includes contact information, party affiliation, and election details.

```python
from crpapi import CRP, CRPApiError

CRP.apikey = 'your-api-key-here'

# Fetch all legislators for New Jersey's 4th congressional district
legislators = CRP.getLegislators.get(id='NJ04')

for leg in legislators:
    attrs = leg['@attributes']
    print(f"{attrs['firstlast']} ({attrs['party']}) - Office: {attrs['office']}")
    print(f"  Phone: {attrs['phone']}, Website: {attrs['website']}")
    print(f"  First elected: {attrs['first_elected']}, CID: {attrs['cid']}")
```